Acropolium

Challenge

A rapidly expanding digital bank faced challenges in fraud detection and compliance as transaction volumes surged. Manual monitoring became inefficient, compliance processes were costly, and evolving financial crimes demanded stronger security. 

To address these issues, they focused on developing an AI-driven solution to automate fraud detection, enhance compliance, and strengthen security.

Solution

The project aimed to enhance fraud detection and compliance monitoring by leveraging AI-driven automation, reducing manual efforts, and improving overall efficiency. By integrating advanced machine learning and automation, the bank sought to strengthen security, optimize resource allocation, and ensure seamless regulatory compliance.

To achieve these goals, the following steps were taken:

• Automating fraud detection and compliance workflows to improve efficiency and lower operational costs.

• Implementing ML-driven analytics to enhance risk management, enabling early threat detection and minimizing financial losses.

• Developing an adaptive AML compliance system capable of generating reports, ensuring regulatory adherence, and improving response times.

• Enhancing cost efficiency by allowing staff to focus on complex, high-priority cases instead of routine monitoring.

• Strengthening security measures to counter evolving financial crime tactics and reduce false positives in fraud detection.

Results

• Optimized compliance processes, reducing regulatory reporting time by 20%.

• Enhanced fraud detection, boosting accuracy by 45% and minimizing false alerts.

• Significant cost savings, cutting fraud-related losses by 75%.

Read our case study here: https://acropolium.com/portfolio/ai-powered-anti-money-laundering-solution-development/ 

Challenge

A hospital network in Belgium faced difficulties in managing resources efficiently due to unpredictable patient volumes. Manual workforce planning led to staff fatigue, inefficient equipment use, and escalating costs. 

The absence of data-driven forecasting resulted in congestion during busy hours and underused resources at other times. Ensuring compliance with HIPAA and GDPR was also a top priority.

Solution

To tackle these issues, we designed an AI-powered system to enhance hospital operations. The solution was built to:

• Forecast patient influx to improve capacity planning and prevent congestion.

• Automate workforce scheduling to distribute workload evenly and reduce exhaustion.

• Optimize the usage of medical equipment to minimize waste and maximize efficiency.

• Integrate seamlessly with existing healthcare management platforms for real-time decision-making.

• Implement stringent security protocols to uphold data privacy standards and regulatory compliance.

Results

• 25% boost in operational efficiency through better resource distribution.

• 30% decrease in patient waiting times, leading to improved care delivery.

• 15% increase in staff satisfaction due to streamlined scheduling and workload management.

Read our case study here: https://acropolium.com/portfolio/predictive-analytics-in-healthcare-using-ai-resource-planning-software/ 

Challenge

A renewable energy company faced unpredictable asset performance, frequent equipment failures, and rising maintenance costs. Without real-time monitoring or predictive maintenance, inefficiencies led to energy losses and increased downtime. The company needed an AI-powered asset management system to enhance reliability, optimize performance, and ensure compliance with industry standards.

Solution

To address these challenges, we developed an advanced renewable asset management platform powered by AI. By integrating real-time data from wind turbines and solar panels, the system provides comprehensive oversight and predictive insights to prevent failures before they occur.

Key features included:

• Automated fault detection to minimize downtime and reduce emergency repairs.

• Predictive maintenance using AI-driven analytics to extend asset lifespan.

• Real-time performance tracking for proactive monitoring and efficiency optimization.

• A centralized data dashboard for seamless visibility and faster decision-making.

• Scalability to accommodate future expansion and evolving energy needs.

Results

• 25% decrease in unplanned downtime through predictive analytics.

• 15% longer asset lifespan with proactive maintenance strategies.

• 20% increase in energy production by reducing inefficiencies.

Read our case study here: 

https://acropolium.com/portfolio/ai-powered-renewable-asset-monitoring-software/

Challenge

A leading U.S. energy provider managing over 1.5 GW of wind farms and storage facilities faced significant challenges in optimizing operations. The company relied on multiple monitoring systems, leading to data silos and delays in decision-making. Without real-time insights, asset performance optimization and failure prediction were complex.

Energy forecasting posed another challenge. Weather fluctuations, shifting demand, and grid constraints affected production estimates, leading to increased costs and missed revenue opportunities. Additionally, ensuring regulatory compliance while maintaining efficiency and sustainability was a constant challenge.

To improve efficiency and maximize revenue potential, the client sought an AI-driven revenue management system capable of automating real-time dynamic pricing, enhancing forecasting accuracy, and centralizing revenue operations while still allowing for property-specific flexibility.

Solution

• To address these challenges, we conducted an in-depth discovery process to identify key technical requirements. Based on our findings, we developed a tailored AI renewable energy platform with the following capabilities:

• Real-time data integration from multiple wind farms into a centralized system, improving decision-making and operational transparency.

• AI-powered forecasting models that leverage historical data and real-time weather patterns to enhance production estimates and align supply with demand.

• Predictive maintenance functionality to detect early signs of wear or failure, optimizing maintenance schedules and reducing unplanned downtime.

• Automated grid balancing to stabilize supply and demand fluctuations, ensuring efficient energy storage and grid integration.

• Process automation to reduce manual tasks in data collection, performance analysis, and system adjustments, increasing overall efficiency.

• Scalable architecture designed to adapt as operations grow, continuously improving system performance and market responsiveness.

Results

• Improved grid integration and optimized asset performance contributed to a 10-15% increase in the client base.

• Energy production efficiency increased by 5-10%, maximizing asset utilization and minimizing waste.

• Revenue grew by 15-20%, driven by enhanced forecasting accuracy, market positioning, and reduced energy waste.

Read our case study here: 

https://acropolium.com/portfolio/ai-renewable-energy-platform/

Challenge

A leading hotel chain operating in both urban and resort locations faced significant limitations with its manual revenue management processes. The absence of an automated pricing system resulted in inconsistent rates across properties, missed opportunities during peak periods, and revenue losses during low-demand seasons.

Additionally, the lack of advanced demand forecasting tools prevented the company from proactively adjusting pricing based on booking trends, competitor rates, and external market factors such as local events and seasonality. The decentralized nature of revenue management further compounded these issues, making it difficult to maintain pricing consistency across multiple locations.

To improve efficiency and maximize revenue potential, the client sought an AI-driven revenue management system capable of automating real-time dynamic pricing, enhancing forecasting accuracy, and centralizing revenue operations while still allowing for property-specific flexibility.

Solution

To address the client’s challenges, we conducted a comprehensive discovery phase to assess existing pricing strategies and operational inefficiencies. Based on our findings, we developed a tailored AI-driven revenue management solution with the following core capabilities:

• Automated dynamic pricing powered by AI algorithms that analyze real-time market demand, competitor pricing, and local events to optimize room rates.

• Advanced demand forecasting utilizing machine learning models to predict booking trends and market shifts, enabling proactive pricing adjustments.

• Centralized revenue management with a unified dashboard that ensures consistency across properties while allowing for location-specific modifications.

• Seamless system integration with existing reservation platforms, CRM systems, and external market data sources to enable synchronized pricing strategies.

• Intelligent upselling & cross-selling by analyzing guest behavior to recommend personalized offers for dining, spa services, and event packages.

• User-friendly dashboard providing revenue managers with actionable insights, performance analytics, and customizable reports for data-driven decision-making.

Results

• Real-time AI-driven pricing optimization resulted in a 12% increase in occupancy by dynamically adjusting rates based on market demand.

• Automation of pricing processes reduced manual workload by 30%, allowing teams to focus on strategic decision-making.

• Data-driven pricing strategies improved revenue by 15%, enabling rapid adaptation to shifting market conditions.

Read our case study here: https://acropolium.com/portfolio/ai-hotel-revenue-management-and-dynamic-pricing-software/

Services Provided on this Project: Custom Software Development, Payment Systems, Blockchain, Bespoke Software, Mobile Development, Real-time Solution

Request

Our client, a fintech company specializing in digital asset management, faced challenges with existing third-party wallet solutions that lacked security, customization, and scalability. To work on their user experience and maintain a competitiveness, they needed to develop a secure, multi-functional cryptocurrency wallet. 

This wallet needed to support multiple currencies, token swaps, fiat conversions, and DeFi integrations while complying with global regulations and ensuring future scalability.

Solution

We initiated the project with an in-depth discovery phase to identify key requirements and challenges. Based on these findings, we developed a custom cryptocurrency wallet with the following core features:

• Multi-signature functionality, private key encryption, and two-factor authentication for advanced security.

• A consistent and user-friendly interface for web, Android, and iOS users, built with React and React Native.

• Compatibility with diverse blockchain networks using Web3.js and Ethers.js.

• Token swaps, staking, and smart contracts powered by Solidity on the Ethereum network for quality De-Fi functionality.

• Seamless integration with existing payment systems for real-time transactions.

• GDPR, AML, and KYC adherence to meet international standards.

The backend, built with Node.js, ensured secure blockchain interactions and scalable operations, while AWS infrastructure supported the system's growing data requirements.

Results

• Reduced service downtime by 35%, enhancing reliability and user trust.

• Improved operational efficiency by 25%, enabling faster customer support and issue resolution.

• Boosted user acquisition by 25%, driven by the wallet's advanced features and enhanced user experience.

Read our case study here: 

https://acropolium.com/portfolio/custom-cryptocurrency-wallet-app-development/ 

Services Provided on this Project: Custom Software Development, Machine Learning, Cloud Computing, SaaS, Real-time Solution, Platform Development

Request

As our client’s logistics and fleet operations grew, their reliance on minimal software led to rising inefficiencies. Increased delivery volumes, combined with the lack of a proper route optimization system, resulted in delays, higher fuel costs, and underutilized resources. 

Without real-time data or tracking, decision-making became difficult, hindering scalability in a competitive market. Recognizing the need for a solution, the client turned to Acropolium to develop a SaaS route optimization platform to streamline operations and improve fleet performance.

Solution

We began by conducting an in-depth discovery phase to understand the client’s logistics challenges and goals. Based on this, we developed a scalable SaaS route optimization platform with the following key features:

• Automated route planning powered by machine learning for continuous improvement.

• Real-time data integration using Google Maps API and OpenStreetMap for dynamic route adjustments.

• Cloud scalability with AWS infrastructure to handle growing data loads.

• Centralized fleet tracking for real-time vehicle and performance monitoring.

• Comprehensive analytics for data-driven decision-making and operational efficiency.

Results

• The client achieved a 15% profit increase by reducing fuel costs and operational expenses. 

• Customer retention grew by 25% due to accurate delivery estimates and reliable service.

• Logistics efficiency improved by 25% with better scheduling, real-time tracking, and optimized resources.

Read our case study here: https://acropolium.com/portfolio/saas-route-planning-tool-for-fleet-management-optimization/

Services Provided on this Project: Custom Software Development, IoT, Low-Code, Data Analytics, Cloud solutions, ML & AI

Request

The client, a medium-sized healthcare provider in Switzerland, sought a proactive approach to chronic disease management. Their existing system lacked real-time health tracking, causing delays in responses, increased hospital readmissions, and inefficient resource use. Additionally, system customization required heavy IT involvement, hindering adaptability and scalability as their patient base grew.

To address these issues, they engaged Acropolium to develop an IoT-based health monitoring system that provided real-time data tracking, predictive analytics, and a low-code platform for customizable workflows.

Solution

Acropolium designed a scalable IoT health monitoring system with the following features:

• Real-time health tracking of vital signs (heart rate, blood pressure, glucose levels) using AWS IoT Core and wearable devices.

• Predictive analytics powered by TensorFlow for early intervention.

• A low-code platform with customizable dashboards and drag-and-drop workflow adjustments.

• Scalable cloud infrastructure built on AWS to handle growing data volumes securely.

• Real-time alerts and analytics for optimized system performance.

The platform was developed using React for the interface, Node.js for the backend, PostgreSQL for reliable data storage, and Apache Kafka for efficient real-time data streaming.

Results

• Reduced system update and customization time by 40%, enabling healthcare teams to focus more on patient care.

• Scalable infrastructure expanded patient monitoring capacity by 50% without compromising performance.

• Improved chronic disease management through real-time tracking and predictive analytics, leading to better patient outcomes.

Read our case study here: https://acropolium.com/portfolio/development-of-an-iot-based-emergency-health-monitoring-system/

Services Provided on this Project: Custom Software Development, Data Analytics, Real-Time Solution, SaaS, Software Modernization, Route Optimization

Request

As our client's logistics operations expanded, their reliance on manual dispatching and outdated software led to inefficiencies. Rising delivery volumes, poor route optimization, and limited real-time data resulted in higher fuel costs, missed deadlines, and underutilized resources.

To address these challenges, the client sought Acropolium's expertise to modernize their trucking dispatch system. Their goal was to automate route planning, integrate real-time data, and improve fleet management for scalable operations and enhanced customer satisfaction.

Solution

Acropolium began with a thorough discovery phase to identify pain points and gather requirements. We developed a scalable SaaS trucking dispatch system featuring:

• Dynamic route optimization with automated route planning powered by real-time traffic, weather, and road condition data.

• Centralized fleet management using a dashboard for real-time visibility into vehicle locations, driver performance, and delivery statuses.

• Data analytics and forecasting, where AI-driven insights predict demand and optimize resource allocation.

• Customer-focused features such as accurate delivery time estimates and automated notifications to enhance satisfaction.

• Scalable infrastructure with advanced cloud-based solutions designed to support increasing delivery volumes.

Results

• Fuel consumption was cut by 15% due to enhanced route optimization, which reduced unnecessary mileage and idling.

• Integration of real-time data improved delivery efficiency, achieving a 20% reduction in delivery times and fewer missed deadlines.

• Customer satisfaction rose with a 30% increase in on-time deliveries, supported by precise delivery estimates and automated updates.

Read our case study here: https://acropolium.com/portfolio/trucking-dispatch-solution-modernization/

Challenge

The goal was to create a customizable platform for tutors that adapts to diverse learning needs. Implementing video streaming required careful planning for optimal desktop and mobile performance, ensuring efficient data exchange and smooth operation.

Integrating document generation balanced flexibility and usability while maintaining robust functionality. Ensuring accessibility for all users added complexity to the e-learning software development.

Solution

Acropolium developed a user-focused online learning platform to address the client's challenges. We used WebRTC for seamless video streaming and PDF Kit (Node.js) and Apache POI (Java) for document creation and automation. Our inclusive design practices ensured the platform met diverse user needs.

• We integrated adaptive streaming protocols and cloud solutions for video streaming. The platform supports automated captions, transcripts, and alt text for accessibility. 

• By analyzing e-learning trends, we created appealing and functional visuals. 

• Tutors benefited from visual editors, drag-and-drop features, and templates for easy content creation. 

• We employed advanced template engines and document processing tools to simplify document creation for educators. 

• Our developers adopted responsive design principles for multi-platform functionality, conducting extensive testing for consistent performance. 

• Acropolium ensured scalability by regularly updating the platform to meet evolving tech requirements.

Results

• Automating document generation cut administrative overhead by 65%. 

• Integrating video streaming and interactive materials boosted user engagement by 85%.

• The user-centric, cross-platform design increased user registrations by 40%.

Read our case study here: 

https://acropolium.com/portfolio/cross-platform-e-learning-portal-development-for-an-edtech-co

Challenge

Our client struggled to modernize their event management infrastructure due to the high threshold of new technology integration. We analyzed system bottlenecks and developed a live-streaming app to meet industry demands. Integration with top billing tools was a priority for smooth transactions and monetization options.

Solution

We devised a strategy encompassing business goals, target demographics, revenue models, and feature integration. We implemented flexible monetization options to boost revenue and ROI.

To tackle system challenges, we selected an appropriate tech stack for modernization. Agile methodology ensured adaptability throughout development, during which we:

• Seamlessly integrated secure payment gateways, merchant services, and financial APIs to enable smooth transactions, billing, invoicing, and revenue tracking for event organizers and attendees.

• Implemented scalable architecture and optimized performance rigorously to ensure the platform can manage growing loads and deliver a seamless experience during peak usage.

• Employed strong security measures, such as encryption protocols and secure access controls, to protect the platform against cyber threats and safeguard user data.

• Added interactive features like live chat, polls, Q&As, and social media integration to boost audience engagement and foster real-time interaction during live events

Results

• With this solution, users can achieve global streaming with an end-to-end latency of two seconds or less.

• The SaaS platform dynamically scales during peak viewing hours, employing increased elasticity and intelligent load balancing to seamlessly accommodate its viewers.

• The client's users can now effortlessly host and live-stream offline events to a global audience, with streaming lags reduced by 95%.

Read our case study here: 

https://acropolium.com/portfolio/saas-based-live-event-streaming-platform-development/ 

Challenge

Our client, a financial services company, requested a portfolio asset management software with strong project management tools. Their manual processes caused inefficiencies, errors, and delays, lacking effective decision-making and risk management tools. Decentralized management led to inconsistencies and misaligned project objectives.

The firm struggled with tracking progress, identifying issues, and assessing project health due to limited real-time access. Resources were not optimally allocated, and balancing priorities was challenging.

Solution

We developed an investment portfolio management tool with a user-friendly dashboard for easy access to metrics, project statuses, and financial data. Customizable features and real-time updates were prioritized to help stakeholders make informed decisions.

• We also integrated advanced risk assessment and mitigation using analytics and scenario modeling to help stakeholders manage risks effectively. 

• Our resource allocation module optimized utilization through automation, reducing conflicts and waste. 

• The scalable architecture now supports more projects, users, and data.

Results

• Increased centralized access to financial metrics by 25%.

• Enhanced project status and timeline visibility by 30%.

• Reduced real-time portfolio monitoring time by 30%.

• Improved accuracy of strategic decisions by 25%.

• Boosted overall workforce efficiency and productivity by 17%.

• Proactively identified and addressed 80% of potential risks.

Read our case study here: 

https://acropolium.com/portfolio/portfolio-intelligence-investment-asset-management-software/ 

Challenge

Our client, an innovative EHR provider, revolutionizes healthcare data management with a mobile blockchain-based platform. They enlisted Acropolium to enhance data security using modern encryption and access control. Prioritizing an intuitive interface for healthcare professionals improved implementation rates and efficiency. 

Timely EHR development was crucial to eliminate security vulnerabilities and boost compatibility. Completing the project promptly ensured the company stayed competitive and met evolving customer needs.

Solution

Acropolium delivered secure, compliant EHR software for our client by implementing a private blockchain network, focusing on these key areas:

• Blockchain-based EHR software with robust security measures and an intuitive interface for both desktop and mobile applications.

• Advanced encryption safeguards data during transmission and storage.

• Smart contracts ensure only authorized individuals access specific patient information.

• Seamless integration with existing healthcare systems enables secure sharing of patient records, overcoming data silos and fragmentation.

• Full HIPAA compliance through stringent security measures, regular audits, and adaptive system architecture.

Results

• Under tight deadlines, we developed a groundbreaking blockchain-based EHR solution.

• The improved UI/UX boosted adoption rates and user satisfaction.

• Enhanced interoperability allowed seamless integration with existing healthcare systems. 

• The solution also ensured full compliance with HIPAA regulations.

Read our case study here: 

https://acropolium.com/portfolio/blockchain-based-ehr-software-development/  

Our client decided to embrace automation in data profiling due to significant challenges with data quality, collection, and processing time.

The inconsistency and inaccuracy of data from various sources resulted in quality issues, undermining analytical reliability. Consequently, the company resorted to manual profiling, a time-consuming and error-prone method that hindered the data ingestion pipeline.

Request

In response, our client opted for automated data profiling, commissioning the development of a tool from scratch. This tool also doubled as data quality software, automatically gathering, categorizing, and validating data to yield valuable, consistent insights.

Solution

The product functions as both a data quality and profiling tool, harnessing integrated AI algorithms for coherent data sorting and insights extraction. To mitigate delays stemming from manual efforts, our team placed emphasis on comprehensive automation across all datasets throughout the data handling cycle:

• Employing advanced machine learning algorithms, our developers ensured that the data profiling tool autonomously scrutinized incoming data, identifying various types, patterns, and anomalies.

• We integrated real-time data quality monitoring capabilities to promptly identify and address emerging data quality issues.

• In prioritizing scalability within the architecture, we incorporated customizable features, enabling the client to adjust detection settings for erroneous data.

• Additionally, our team introduced live quality check features to prevent the proliferation of inaccuracies within the system through proactive ML-driven interventions.

Results

• With a 200% improvement in scalability, the client now successfully processes and ingests up to 30 terabytes of data daily. 

• Real-time monitoring has reduced the time to identify and address data quality issues to less than 1 hour.

• That resulted in a final data quality rate of 95%, with data errors and inconsistencies decreasing by 40%. 

• Data processing time has decreased by 30%, averaging 8 hours compared to the initial 12 hours per 1 terabyte dataset.

Read our case study here: 

https://acropolium.com/portfolio/ai-powered-quality-monitoring-data-profiling-tool/

A global legal firm relied on AI contract software to expedite contract analysis and processing. Initially, the firm adopted an early iteration of AI contract management software, automating the contract drafting, reviewing, versioning, and monitoring.

Request

With the increasing complexity of contracts, the rudimentary analysis tool faced challenges in handling contemporary intricacies. This required an upgrade to effectively navigate complex scenarios while adhering to industry standards and legal advancements.

Solution

Our approach focused on identifying and preserving crucial functionalities to facilitate a seamless user transition while fostering innovation. Striking a balance between legacy systems and innovation, we prioritized data synchronization to prevent discrepancies or data loss. Our team implemented robust security measures to safeguard confidential legal information during data transfers:

• By leveraging robust application programming interfaces (APIs), we established seamless connections between systems, ensuring secure and efficient data transfer and communication through rigorous testing.

• We enhanced the visualization of analysis results by incorporating charts, graphs, and visual elements, enabling the AI contract analytics platform to present intricate data in a user-friendly manner.

• To achieve seamless integration, our team meticulously assessed existing legal and document management systems to identify compatibility requirements.

• Furthermore, we augmented data accessibility and utility by integrating the platform with other financial systems and customer relationship management (CRM) tools.

• Interactive reporting features were also implemented, empowering users to delve into detailed insights and make informed decisions based on real-time data.

Results

• Contract review times saw a remarkable 75% decrease.

• Enhanced precision in contract analysis contributed to improved risk management and compliance.

• The legal team praised the enhanced functionality and user-friendly interface.

• Operational costs were reduced, and reliance on external legal services diminished.

Read our case study here: 

https://acropolium.com/portfolio/ai-contracting-software-for-fintech-corporation/ 

Challenge

The company faced several critical challenges with manual route planning, which was time-consuming and prone to errors. Suboptimal routes not only increase fuel consumption but also contribute to longer delivery times. To be effective, the logistics provider should use fleet management SaaS applications to analyze traffic, road conditions, and delivery schedules, building the most efficient routes.

Without real-time visibility in fleet management saas software solutions, the company struggled to monitor their vehicles' location and performance. This lack of insight prevented the team from supervising the fleet effectively.

Solution

To streamline operations, our team developed a tool to analyze traffic, road conditions, and delivery schedules, crafting the most efficient routes.

• Key features included real-time GPS tracking, maintenance alerts, fuel monitoring, advanced analytics, and robust reporting tools, all within a subscription-based cloud SaaS model.

• The subscription-based TMS fleet management system enables clients to manage costs effectively, ensuring steady revenue streams.

• With constant access to the latest features and security updates, clients benefit from seamless enhancements.

• Accessibility from any internet-connected device facilitates real-time monitoring and management, while scalability caters to fleet expansion needs without infrastructure changes.

• We launched the fleet management solution on cloud hosting, eliminating on-premises hardware and ensuring scalable operations.

Results

• Delivery time saw a reduction by 31%.

• Fuel consumption decreased by 14%.

• Customer satisfaction scores increased by 28%.

• Improved driver behavior and safety performance.

Read our case study here: 

https://acropolium.com/portfolio/saas-fleet-management-software-for-a-logistics-company/ 

Acropolium was approached by an experienced 3PL provider offering transportation and warehousing services such as freight shipping, load dispatching, and storage. The company aimed to embrace automation to sharpen its competitiveness.

This led to their decision to move away from their outdated legacy software. The client sought a cloud-based warehouse management system to capitalize on real-time visibility and introduce automated features to their warehousing operations.

Request

The company's existing system lacked integration capabilities and adaptability, making it unsuitable for market changes and increasing order volumes. Thus, they requested an advanced SaaS WMS tool for automating manual tasks. They also sought a new cloud-based WMS system to synchronize warehouse operations across various locations, facilitating real-time data exchange.

Solution

Having identified the processes requiring automation, we started implementing data analytics tools to improve data accuracy and fulfillment times. At the same time, our team was focusing on real-time inventory visibility for better coordination across facilities and improved decision-making. 

Focused on scalability to align with the growth of business operations, our teams provided the following services: 

• Integration capabilities so that the SaaS solution allows for cohesive incorporation of ERP and TMS systems. 

• Inventory management automation and mobile accessibility in the cloud-based WMS systems to streamline order processing. 

• A secure SaaS solution using top-tier data encryption and access control that adheres to industry regulations. 

• Training staff programs for a smooth transition to the new system.

Results

• Real-time visibility features contributed to minimizing stock shortages and excess inventory situations, improving order processing time by 31%.

• Shifting from the legacy system reduced operational costs by 17%.

• The overall warehousing efficiency was improved by 29%.

Read our case study here: 

https://acropolium.com/portfolio/saas-warehouse-management-system-development/

The client is a crypto company providing a platform with trading bots, index investments, and automated portfolio management. Their robo-advisor software allows customization via a back-testing engine, revealing profitable index strategies for long-term investment. The product aims to help beginners diversify portfolios across digital assets while imparting essential crypto investment knowledge.

Challenge

Ensuring compliance with evolving cryptocurrency regulations posed a significant challenge for the SaaS product. The client’s principal objective was to develop a platform that could adapt to changing regulations based on user location, cryptocurrency selection, and activity. Our primary task was to harmonize diverse regulatory factors for seamless operation while developing a safe and easy-to-navigate platform.

Solution

To address the client’s challenges, our team has done the following: 

• Developed a strategic marketplace for users to instantly execute trading options.

• Built a risk-profiling tool and a questionnaire to match users' risk tolerance with suitable portfolios and trading choices.

• Enabled diversification in the crypto robo-advisor software for allocating investments across multiple cryptocurrencies.

• Implemented robust security measures like multifactor authentication and cold storage to safeguard users' assets and data.

Results 

The client was provided with a comprehensive platform featuring seamless payment processing, robust security, and user-friendly navigation. As a result, the platform has fostered a thriving community of traders and investors.

User registrations surged by over 250%, accompanied by a significant 199% increase in trading volumes.

Read our case study here: https://acropolium.com/portfolio/saas-based-cryptocurrency-application-development/ 

The client is a US healthcare institution operating with a comprehensive appointment SaaS solution for medical scheduling developed by Acropolium. The clinic approached our team to build software that would digitalize and automate online booking for patients while eliminating manual scheduling and reducing no-shows.

Challenge

The clinic grappled with multiple challenges in its patient appointment system, demanding immediate resolution. Operating without medical scheduling software resulted in staff overload and errors due to manual processes, causing appointment backlogs and patient dissatisfaction.

Additionally, the growing rate of unannounced patient no-shows would lead to revenue loss and resource wastage in the clinic.

Outdated communication methods directly impacted client engagement, so the client prioritized operational modernization through scheduling software.

Solution

Our initial task involved preparing the SaaS scheduling app for public use. To accomplish this, we chose a cloud solution to enable scalability, accessibility, and cost-effectiveness for the platform. As a result, we delivered a comprehensive and compliant scheduling solution by leveraging: 

• online planning features into our healthcare scheduling system

• automated SMS and email reminders

• real-time record visibility with editing capabilities

• reporting and analytics tools

• paid multi-user access to the appointment management system

• premium subscription basis providing enhanced features such as access to medical records, multilingual support, advanced reporting, and 24/7 personalized assistance

• integration with the health record (EHR) system 

Results

By operating with a brand new, all-encompassing scheduling system, the client experienced significant growth in their operations.

• The patient no-show rate decreased by 30%

• The patient wait-time rate was reduced by 25%.

• The number of patients viewing their records via the scheduling software increased by 40%

Read our case study here: https://acropolium.com/portfolio/saas-appointment-scheduling-software-for-a-medical-clinic/ 

Request

Our client, a leading cryptocurrency portfolio management firm, offers infrastructure, exchange services, and blockchain solutions. They sought to develop a platform that would streamline asset management and improve user experience.

The goal was to enhance usability by simplifying asset monitoring, transaction tracking, and trading processes, empowering users to make informed decisions.

Solution

A key focus in developing the cryptocurrency asset management software was improving user interaction. We designed an intuitive interface tailored to the needs of traders and investors, allowing for personalized experiences through customizable dashboards. 

Advanced analytics tools provide real-time data, helping users make well-informed decisions. For this comprehensive solution, our development team implemented the following: 

• We leveraged our expertise to develop a competitive cryptocurrency asset management SaaS solution, designed as a centralized hub for managing diverse digital portfolios.

• The platform features an intuitive interface, customizable dashboards, and real-time analytics to enhance decision-making. 

• With encryption and multi-factor authentication, the platform ensures asset protection. 

• Additionally, the architecture was optimized for scalability and performance, handling increased trading volumes seamlessly. 

• Regular updates and enhancements keep the software competitive and aligned with industry trends.

Results

• The solution resulted in a 22% increase in clients and a 15% rise in revenue within six months. It successfully attracted a larger user base and boosted trading volumes.

• Client retention improved, leading to a notable expansion of the overall customer base.

• Finally, the platform delivered significant cost savings on infrastructure maintenance.

Read our case study here: https://acropolium.com/portfolio/saas-based-crypto-asset-management-platform/  

Challenge

An automotive company managing 1000 charging points required two EV charging apps: a CRM system and a mobile asset management application.

Ensuring real-time IoT integration for the Tesla charging stations app posed technical, logistical, and security challenges. We provided clear guidance to the automotive company new to IT vendors and Agile methodologies, emphasizing robust communication and structured project management. Regular updates kept stakeholders informed about project requirements, risks, and our solutions.

Solution

We undertook the project to improve customer experience and optimize operations. By meticulously planning development stages and milestones, we provided continuous updates to ensure transparency with the client. Acropolium leveraged our developers' expertise and advanced technologies to create a CRM and app for charging stations:

• Integration with IoT devices enabled real-time data processing, allowing users to monitor charging points' status, energy consumption, and balances.

• A web-based app facilitated the addition and registration of new charging points as IoT devices for data collection.

• Managers can now set prices and rules for their points, ensuring flexibility in operations.

• The EV charging app offers data in web and map formats and supports export to .csv or .pdf.

• Users can manage payments, activate charging via QR codes, and submit support tickets for prompt assistance.

• A loyalty program enhances customer engagement by rewarding frequent users.

• The mobile app is now available on AppStore and Google Market, extending accessibility for users on the go.

Results

• The platform increased revenue from charging points by 45%, as customers were more inclined to use them. 

• An intuitive EV charging app with a loyalty program boosted loyal user numbers by 50%.

• The easy-to-navigate management platform enhanced daily transactions by 25%.

Read our case study here: 

https://acropolium.com/portfolio/ev-charging-app-development-crm-mobile-app-for-charging-stations/ 

Challenge

A logistics company struggled with managing complex supply chain data from diverse sources, hindering operational insights and timely decisions. 

They faced significant data security challenges, including risks of data leakage and cyber-attacks, exacerbated by GDPR compliance requirements. Robust security measures were essential to protect sensitive information and mitigate legal and financial risks.

Solution

The company's fragmented supply chain data, outdated systems, and manual processes hindered agility and efficiency, resulting in delays in addressing operational issues, customer requests, and market trends due to insufficient access to timely and accurate data.

To address these challenges, our client opted to invest in developing supply chain analytics software. They sought advanced analytics tools, predictive modeling capabilities, and automation solutions for real-time monitoring and analysis.

• Our approach integrated advanced big data methods to consolidate diverse sources into a centralized repository, ensuring data consistency and offering comprehensive supply chain insights. 

• Using predictive analytics and machine learning, we enhanced demand forecasting and inventory management accuracy.

• We prioritized robust data security measures, including encryption protocols and access controls, to comply with GDPR and safeguard confidential information. 

• Additionally, we delivered intuitive dashboards and reports for real-time supply chain monitoring and informed decision-making.

• Overall, our software included advanced analytics for historical and real-time data, a centralized repository for data management, and reporting dashboards.

Results

• Operational efficiency rose by 27%, reducing system downtime by 20%. 

• Inventory costs dropped by 15% through optimized management practices.

• The solution contributed to a 22% increase in customer retention rates due to personalized engagement and enhanced service quality.

Read our case study here: 

https://acropolium.com/portfolio/supply-chain-data-analytics-software/ 

Challenge

A global GPS software company tasked Acropolium with developing a cutting-edge tracking app to set a new industry standard. We had to ensure seamless integration with automotive platforms like infotainment, climate control, and ADAS, requiring extensive testing for compatibility. 

Providing real-time traffic updates and hazard warnings demanded a robust server infrastructure and secure data communication. Overall, our developers focused on designing a scalable and adaptable system for future technological advances and evolving customer needs.

Solution

To achieve the client's goals, we engineered an automotive GPS navigation system known for its accuracy and reliability.

Leveraging the latest mapping technology and data from trusted sources, we ensured the maps remained up-to-date and precise. We employed sophisticated algorithms to calculate the best routes, taking into account traffic patterns, road conditions, and historical trends, thereby providing drivers with the most efficient directions available.

• By integrating real-time traffic data, the system dynamically updates routes to avoid delays and find the fastest path. It now connects seamlessly with the car's infotainment system, ADAS, climate control, and other technologies, enhancing functionality and driver comfort.

• We developed a user-friendly interface with high-contrast colors, large fonts, and simple icons for easy readability. 

• Voice commands enable hands-free operation, reducing driver distraction, while features like night mode and HUD enhance safety. 

• The GPS tracking platform allows users to set preferences for routes, points of interest, and favorite destinations.

• With a modular architecture, the system supports easy updates and integrates new features, ensuring regular improvements and quick problem resolution.

Results

• Reliable and user-friendly navigation features have led to a 25% increase in customer retention. 

• Improved route planning and fewer delays have reduced downtime by 10%. 

• Additionally, drivers now spend less time navigating and more on productive tasks, resulting in an 18% boost in productivity.

Read our case study here: 

https://acropolium.com/portfolio/car-navigation-software-development/ 

Challenge

Our client wanted to elevate procurement with SaaS purchasing software to replace manual processes and reduce errors. Key challenges included integrating the new system with existing ERP, project management, and financial systems while ensuring uninterrupted data exchange. Managing multiple suppliers with varying lead times, pricing, and protocols required robust cataloging and communication tools. 

Also, the solution needed to track inventory across locations, scale with company growth, and protect sensitive procurement data.

Solution

Our developers crafted a cloud-based purchasing software to address supplier management, inventory tracking, and reordering challenges. The brand-new platform now equips procurement teams with tools to streamline operations, optimize inventory, and ensure seamless communication across systems. The solution offers:

• A centralized supplier database that captures contact details, contract terms, pricing, and performance metrics for easy management.

• Real-time inventory tracking with barcode or RFID scanning integrated into ERP systems to prevent stockouts and excess inventory.

• An automated alert system to notify procurement officers via email, SMS, or dashboard when inventory drops below set thresholds.

• Seamless data integration that synchronizes information across procurement, ERP, and financial systems for a consolidated view of expenses and budgets.

Results

• Streamlined operations increased overall productivity by 20%, leading to faster throughput. 

• This efficiency improvement, combined with cost reductions, resulted in a 10% boost in profit margins. 

• Enhanced customer satisfaction drove a 10% rise in retention and repeat business.

Read our case study here: 

https://acropolium.com/portfolio/construction-purchase-order-software/   

Challenge

Our client, a leader in remote work solutions, sought to develop a cloud-based web conferencing app integrated with their existing tools. Key challenges included ensuring compatibility, seamless data synchronization, and maintaining high video and audio quality, even in low-bandwidth conditions. 

The app needed to scale for large teams while offering robust security measures like end-to-end encryption. Achieving a consistent user experience across desktop and mobile devices, along with integrating multi-party meeting features, required careful design and execution.

Solution

We employed an agile methodology to address performance, security, and usability requirements, focusing on building a scalable, secure, and user-friendly solution that seamlessly integrated with the client's existing remote work platform. Our approach emphasized both technical precision and user experience. Key development highlights include:

• Scalable architecture leveraging cloud infrastructure to support high user capacity and ensure reliability.

• Adaptive streaming technology to maintain high-quality video and audio in low-bandwidth environments.

• Robust APIs for seamless integration with the client's existing remote work tools.

• Comprehensive security measures, including end-to-end encryption and secure data storage.

• Consistent and intuitive design across desktop and mobile platforms to enhance usability.

Results

• The app's seamless integration and enhanced communication features led to a 25% boost in productivity. 

• The client also experienced a 15% increase in meeting participation, attributed to the app's intuitive interface and device accessibility. 

• Customer retention improved by 25% due to the consistent user experience desktop and  mobile-wise.

Read our case study here: https://acropolium.com/portfolio/multi-platform-video-conferencing-app-development/

Challenge

A leading healthcare provider partnered with Acropolium to digitize operations and enhance patient care through an AI-powered pharmacy app. The project focused on automating prescription processing and integrating personalized patient tools while navigating complex drug interactions and EU data regulations. Key challenges included staff adaptation to AI workflows and ensuring user-friendly health monitoring features. Additionally, managing costs and patient acceptance of digital tools were essential to the project’s success.

Solution

Our task was to create a patient-friendly portal that prioritized personalized care and seamless healthcare interactions. Advanced features, including real-time medication validation and virtual pharmacist consultations, were designed to enhance patient care.

• The app’s responsive interface, along with personalized options like medication reminders and health monitoring tools, aimed to improve patient engagement.

• Automated workflows sought to streamline management and prescription processing.

• Secure data storage was intended to ensure compliance with EU regulations and GDPR standards. 

• Ultimately, the final solution aimed to deliver a user-friendly experience while upholding high standards in healthcare data protection.

Results

• Automated inventory and prescription management streamlined processes and reduced manual tasks, resulting in a 30% boost in efficiency. 

• By adhering to EU regulations, we significantly improved data security, lowering breach risks by 25% and fostering greater patient trust. 

• Our scalable infrastructure seamlessly adjusted to varying demands, leading to reduced operational costs. 

• The introduction of personalized features enhanced customer retention by 15%, deepening connections with patients.

Read our case study here: 

https://acropolium.com/portfolio/ai-based-pharma-application-development/ 

A leading oil and gas company required a platform to integrate real-time data from drilling rigs, wells, and reservoir systems. The goal was to improve efficiency and cost management through predictive analytics, reducing downtime and optimizing production. 

Operating across multiple locations with unique challenges, the solution needed to unify data collection and analysis, ensuring consistent performance despite geographical complexities and regulatory pressures.

Solution

We created energy data analytics software using Apache Kafka and Apache Spark to integrate real-time data from SCADA systems, IoT sensors, drilling logs, and production records into a centralized platform. By applying machine learning and TensorFlow, we enhanced drilling parameters and introduced predictive maintenance to minimize downtime. The solution’s scalable architecture, built on Redshift cloud infrastructure, is designed to handle current needs and future growth.

Throughout this project, our team:

• Utilized advanced analytics to forecast equipment failures, leading to lower maintenance expenses and reduced downtime.

• Developed a robust architecture capable of managing high data volumes and accommodating future growth.

• Designed the solution to be flexible, adapting to changing business needs and technological advancements.

• Applied machine learning to deliver actionable insights for improved asset management and strategic decision-making.

• Ensured adherence to energy sector regulations.

• Built a user-friendly interface using React.js and D3.js for clear and effective data visualization.

• Performed comprehensive testing to guarantee reliability, accuracy, and performance, with continuous improvements.

Results

• The energy data analytics software enabled a 20% reduction in equipment downtime, leading to more consistent operations. 

• This improvement, along with predictive analytics and preventative strategies, resulted in a 30% decrease in maintenance costs. 

• Additionally, the software boosted production efficiency by 15%, optimizing resource utilization and overall performance.

Read our case study here: 

https://acropolium.com/portfolio/oil-and-gas-analytics-software-development/    

Our client, a high-end hotel management company, needed a dynamic pricing and revenue management tool to optimize room occupancy and increase revenue. Their key challenges included integrating diverse data sources, ensuring real-time processing, and accurately forecasting demand. 

They also required competitor analysis tools and a scalable infrastructure to manage their growing portfolio. Additionally, the system had to be user-friendly and compliant with industry regulations.

Solution
To create a tailored and adaptable solution, our team employed a strategic development process, addressing the client’s needs with precision. Using agile methodologies and advanced technology, we focused on building a scalable, accurate, and user-friendly platform. Our approach included:
Conducting in-depth client consultations and defining detailed functional requirements.
Creating a development roadmap and dividing tasks into productive sprints.
Integrating data with PostgreSQL and Apache Kafka for accurate forecasting.
Scaling the system using AWS cloud to manage high data loads.
Designing intuitive user interfaces with React.js for hotel managers.
Implementing Node.js algorithms for real-time demand forecasting and dynamic pricing.
Conducting rigorous testing, delivering training, and providing continuous support post-launch.
Results
The RMS tool and data integration system boosted overall revenue by 18%, offering critical insights for dynamic pricing strategies.
Room occupancy increased by 15% due to automated workflows and more accurate pricing. 
Operational efficiency improved by 20%, driven by strategic insights from the system.
Read our case study here: 
https://acropolium.com/portfolio/hotel-revenue-optimization-and-demand-forecasting-software/    

A leading provider of dealership software for construction equipment sought to develop a modern dealer management system (DMS) to streamline complex operations and replace inefficient, fragmented processes. The new DMS needed to integrate with existing legacy systems, handle unique industry requirements, and ensure data security and regulatory compliance. 

Real-time data synchronization across modules was crucial for accuracy, along with a scalable design to accommodate business growth. Balancing budget, timelines, and feature prioritization was essential for successful project delivery.

Solution

We created a unified dashboard that brings together all dealership operations, offering a comprehensive view of inventory, sales, customer interactions, and analytics. The platform is equipped with modules for inventory control, sales management, CRM, and reporting, designed to optimize processes and support better strategic decisions.

Key features of this solution include:

• A centralized hub for overseeing all dealership activities.

• A user-friendly order management system for efficient tracking and processing.

• Integrated CRM tools to enhance personalized customer service and foster loyalty.

• Streamlined sales management with automated invoicing, diverse payment options, and digital contract e-signatures.

Results

• The company saw a 13% reduction in inventory costs, cutting storage and handling expenses while freeing up capital. 

• Operational efficiency improved by 15%, allowing for more strategic allocation of resources. 

• Customer retention increased by 25%, driving more repeat business and enhancing lifetime customer value.

Read our case study here: 

https://acropolium.com/portfolio/construction-dealer-management-software/   

Request

A hospitality tech provider aimed to make top-notch hotel management software more attainable for modern hoteliers. Seeking enhancement for their solution, the client wanted it to integrate with different hotel software systems like property management systems (PMS) and booking tools.

Solution

After evaluating the client's needs, industry trends, and technical possibilities, Acropolium provided an advanced e-commerce platform with the following features:

• Automated booking and reservation management to minimize errors.

• Seamless real-time messaging for communication between hotels and travelers.

• Guests can personalize their stays with room customization features.

• Automated check-in and check-out processes for reduced wait times and improved efficiency.

• Integration of billing and payment streamlining guest payments and optimizing hotel revenue management.

Results

• Integration for 12 large and medium hotel networks.

• Integrations with booking platforms surged by 82%, broadening the customer base by 9.7%.

• Annual recurring revenue increased by 14.5%.

Read our case study here: 

https://acropolium.com/portfolio/hotel-management-system-development-for-a-hospitality-technology-provider/ 

A prominent player in the automotive industry's mobility technology sector, the client delivers a distinctive vehicle performance analysis program to its customers. Offering profound industry insights, the business empowers users to enhance their automotive operations and competitiveness.

Request

As a large mobility technology enterprise serving the automotive industry, the client’s operations are highly data-dependent. The client requested a platform to display informational products and vehicle-related insights for their customers. 

Solution

The project involved integrating databases of vehicle systems, models, and components into a platform for easy asset comparison. Our task was to smartly allocate essential data while ensuring compliance with industry and corporate requirements. The platform also had to support integration with the client’s existing CRM while maintaining customer data integrity. 

Having organized the development stages and communication, our team delivered the following services:

• Front-end apps for smooth operation of required features, unlocking the product's full potential for users.

• A backend application for effective data management, considering the client's product reliance on data that required thorough allocation and logical structure.

• An integration solution for the platform seamlessly incorporating crucial customer-related data into the client's CRM strategy.

• Advanced user search functionality utilizing boolean logic without extra expenses.

• A project template for the client's future internal projects, encompassing infrastructure settings and documentation for the selected tech stack.

Results

• A vehicle performance analytics platform with user-friendly features saw a 65% increase in loyal users.

• Seamless integration of the platform with the client’s CRM system resulted in an 85% reduction in customer journey bottlenecks.

• The introduction of an easily searchable platform for vehicle comparison led to a 25% increase in daily transactions.

Read our case study here: 

https://acropolium.com/portfolio/enterprise-automotive-e-commerce-platform-development/

An oil and gas company faced challenges with its legacy ERP system, which hindered its operational efficiency and caused delays in its processes. They approached Acropolium to modernize their system and improve their overall performance.

Request
The client needed a solution that would allow them to streamline their processes, improve their reporting capabilities, and eliminate manual data entry errors. They also needed the new system to be easy to use, integrate seamlessly with their existing applications, and be scalable to accommodate future growth.

Solution
To modernize the legacy ERP system, we aligned project management methodologies and introduced the Agile approach to the client, who was accustomed to Waterfall management. We set up Scrumban methodology to respect their organizational culture, which combines the structure of Scrum with the flexibility of Kanban. We modified our artifacts to fit their style and conducted several knowledge-sharing sessions to assess the architecture and business logic of their legacy system. After gaining a better understanding of the technical issues, we focused on project deliverables, including completely new UI/UX designs, an upgraded tech stack, a modernized software infrastructure, and cloud resource use optimization with autoscaling. These improvements greatly reduced bugs, improved system performance, and eased the daily work of employees throughout the company.

Results
The new ERP system helped the client to improve their operational efficiency significantly:

• Uptime increased to 95%, thanks to a cloud infrastructure overhaul and additional cloud services
• 70% fewer bugs reported
• A 45% increase in the duration of ERP-related business operations.

Read our case study here: https://acropolium.com/portfolio/modernizing-a-legacy-erp-system-to-boost-operational-efficiency-at-an-oil-gas-company/
 

The client, a UK-based property rental business owning several hotels, used to operate with online CRM software and Airbnb for apartment management. However, as the company expanded its operations, administrative burdens hindered growth. To efficiently handle all property aspects, they approached Acropolium for a customized property management system (PMS).

Request

We were to develop a user-friendly platform enabling property managers to efficiently oversee properties and tenants, establishing a customer-facing website with booking functionality.

At the same time, we had to automate booking procedures and maintain real-time updates on the occupancy calendar for accurate room availability information. The solution was intended to optimize business operations by reducing the required number of Pipedrive licenses without impacting workflow. Last but not least, the solution had to integrate with Pipedrive to maintain consistency in reporting sales data.

Solution

We engaged in iterative development following the Scrum methodology, involving the client in two-week sprints to ensure continuous delivery, feedback collection, and iterative enhancements.

• Our development team ensured integration with various booking channels, providing real-time inventory updates for property managers to monitor room availability effortlessly. 

• We also integrated an online booking engine, ensuring accurate information on room availability for customers.

• Additionally, we designed a comprehensive hotel management dashboard enabling property managers to efficiently create, assign, and manage tasks for properties and rooms. 

• By syncing the solution with popular booking channels like Airbnb and Booking.com, we helped the client maximize property visibility and capture all revenue streams.

• Finally, we implemented features for revenue management, allowing managers to implement pricing rules manually or opt for dynamic pricing using machine learning technology.

Results

• The integrated booking engine and reservation management solution led to a 30% increase in booking rates.

• The solution resulted in a notable 40% reduction in administrative costs. 

• Moreover, the hotel property management system significantly streamlined our client's workflows, leading to a remarkable 37% enhancement in operational efficiency.

Read our case study here: 

https://acropolium.com/portfolio/building-a-hospitality-property-management-system-to-boost-operational-efficiency/ 

Acropolium developed a cloud-based accounting software solution for a financial business, resulting in significant improvements in the financial management processes.

Request

The client approached Acropolium to create a SaaS platform that would replace their on-premise software, providing remote access, improved security, and scalability.

Solution

Acropolium developed a custom accounting software solution that included automated financial reporting, real-time data analysis, and customizable dashboards. The platform also integrated seamlessly with the client's existing systems.

Results

The new accounting software solution provided the following benefits for the client:

• Remote access to financial data, increasing productivity and flexibility
• Real-time data analysis and customizable dashboards for more informed decision-making
• Improved financial management processes, streamlining operations and achieving business goals
• The client reached a 30% conversion rate from a free demo to a paid plan

Read our case study here:
https://acropolium.com/portfolio/accounting-software-solution-as-a-saas-platform-for-financial-business/

Challenge

An equipment leasing firm serving local businesses needed a custom inventory management system for maintenance scheduling and efficient rental management. 

With no software development experience, they relied on our guidance to align expectations with project feasibility. Through detailed technical consultations and education, we delivered a tailored construction inventory management solution, meeting their needs effectively.

Solution

After finalizing project requirements, we approved multiple development stages, including creating an MVP and two milestones. Deploying Amazon Web Services (AWS) allowed swift development and delivery of the construction asset tracking software MVP, ensuring rapid value delivery and scalability. The streamlined MVP minimized the impact of changes to the inventory management software. Additionally, we standardized data migration from Excel to the new database.

Post-project completion, we accomplished:

• We integrated the software with a calendar to visualize maintenance schedules and issue alerts for critical repairs. 

• Additionally, advanced reporting covers deal type, monthly turnover, and maintenance costs. 

• Website updates included customer personal accounts for rental status, invoices, and support interactions. 

• Custom notifications prompt employees for regular tech check-ups based on maintenance timelines. 

• Moreover, a CRM module automates data collection, emails, and reporting, seamlessly integrated into our equipment management software. 

• Our developers set up different communication channels and chatbots to further enhance functionality.

Results

• Implementing equipment maintenance schedules led to a 47% increase in monthly deals and reduced downtime. 

• Automated data collection and reporting improved sales cycle management, reducing deal cycles by 33%. 

• The upgraded website provided easier access to leasing information, resulting in a 25% increase in conversions. 

• Additional communication channels and chatbots expanded the customer base by 15%.

Read our case study here: 

https://acropolium.com/portfolio/construction-asset-management-software-development/ 

Challenge

The client aimed to upgrade their real-time payment system for enhanced reliability and scalability, incorporating an ML-based anti-fraud solution for automated transaction screening.

Enhancing the distributed system architecture was essential to modernize the backend, balancing productivity with scaling challenges and potential failures. However, this approach introduced security risks, necessitating careful selection of framework and technology for data exchange to establish a unified infrastructure.

Secondly, the client’s dependence on third-party anti-fraud tools left vulnerabilities, as they lacked control, exposing them to cyber threats.

Solution

We devised a versatile algorithm and trained predictive models using available data to combat fraud, leveraging Azure Event Hubs and Stream Analytics. This led to a real-time transaction monitoring system enabling the company to swiftly identify correlations in customer data, expedite decision-making, and reduce manual work and verification steps. 

Additionally, we integrated cryptocurrency connectors into the client's payment processing system, ensuring process security through our own development efforts.

• We constructed a .NET-based technological framework and infrastructure to facilitate distributed application development and execution. 

• Our team also designed and trained an ML-driven anti-fraud system to enhance the safety of digital payment solutions. 

• Acropolium developed connectors for various exchanges such as Binance, Coinbase, and others.

Results

• Utilizing Microsoft Azure cloud services has bolstered the real-time payment system, catering to around 5,000 corporate clients. 

• User experience enhancements and faster data processing have elevated customer engagement by 28%, with a simultaneous 36% surge in new users. 

• Our proprietary ML-powered anti-fraud system effectively detects over 96% of fraudulent transactions.

Read our case study here: 

https://acropolium.com/portfolio/digital-payment-system-upgrade/ 

Challenge

The client's initial signage software contained numerous sections of code that needed refactoring, impacting the overall security of the software. Additionally, the project documentation for both the software solution and code was incomplete, further complicating the project. The client's extensive ecosystem encompassed various product offerings and numerous internal services, exacerbating the above-mentioned challenges.

Solution

Acropolium was assigned with the dual objectives of supporting the old version while transitioning the system to a newer technology stack. As part of the system modernization, we commenced breaking down the project's monolithic architecture into microservices and implemented the following enhancements:

• Our developers established a new project infrastructure on the Azure cloud using Terraform and Kubernetes to automate software deployment, achieve more granular resource management, and optimize infrastructure costs.

• We then migrated part of client services from Azure AppServices to Azure Kubernetes clusters.

• In addition, our team incorporated Docker into the project and Dockerized the on-premise version of the software.

• Furthermore, we upgraded the UI/UX for both on-premise and web-based digital signage software versions, implementing new layouts.

• The redesigned layout of the on-premise version of the digital display board software significantly simplified software installation and updating processes for the client’s customers.

Results

• Acropolium boosted platform security through the implementation of IdentityServer SSO.

• The company reduced new user onboarding time to under five minutes by upgrading the on-premise version of the digital signage software.

• The new UX/UI design resulted in a 30% increase in NPS.

• As a result of these enhancements, the solution achieved a 20% increase in uptime, now at 99%, enhancing the stability of the digital signage system.

Read our case study here: 

https://acropolium.com/portfolio/digital-signage-software-modernization/ 

Challenge

The client approached us with a request to upgrade their transportation management system, which involved modernizing their platform, developing new features, and providing ongoing maintenance. This came after their previous service providers failed to deliver the desired quality within the agreed timeline. Our task was to ensure smooth and efficient legacy system modernization to help the client remain competitive in the digitized logistics landscape.

Solution

Firstly, we laid the groundwork for our transportation management platform development process by outlining the business aspects. In collaboration with the client, we established a uniform communication protocol between our teams, determined the extent of the client's participation in the project, and set the procedure for code deployment.

• Our developers delivered features for dynamic rights-restricted income calculation and reporting.

• We integrated the client's freight transportation management system with a zip code database (replacing the expensive Google API.

• Acropolium also implemented solutions for cargo insurance, supply chain management, A/B testing, and customer analysis.

• We helped the client transition from external hosting to AWS and implemented slight front-end redesigns. 

• Consequently, shippers around the globe can now safely benefit from all the features of the transportation management system.

Results

• The switch from Google API to our own zip code database has led to monthly savings of over $5K for the client.

• By migrating the client's transportation management software system to AWS hosting, we've managed to save around $10K annually.

• Thanks to our team's improvements, the client's customer base has significantly grown, with more than 1 billion shippers now able to enjoy the benefits of this transportation management system.

Read our case study here: 

https://acropolium.com/portfolio/transportation-management-system-modernization/ 

Challenge

Our task was to create an IoT vehicle tracking system to display real-time data on a map. Connected devices would continuously update vehicle information such as location, speed, fuel, driving time, and camera footage through the CAN bus, all stored in a database. The solution needed to enable dispatchers to oversee data, generate reports, monitor events, control devices, handle billing, and access fleet management tools via mobile devices or laptops.

Solution

The client's PoC lacked documentation. We only had the product vision, a basic web app, and some documentation from IoT device manufacturers.

The existing codebase couldn't meet the client's goals. The provided app was more of a concept than a complete GPS telematics fleet tracking software, necessitating significant updates, essentially requiring us to rewrite most parts of the app from scratch.

• Our teams ensured all device data was stored for analysis and could be exported in .csv and .pdf formats for reporting. 

• Continuous data transmission ensured that active fleet tracking devices consistently provided essential vehicle data, including speed, road time, fuel level, GPS position, tire pressure, and live camera feeds. 

• The implemented data visualization features presented collected data on the in-app interactive map and in web reports. 

• Additionally, we leveraged remote command processing to allow dispatchers to control devices, including engine and container access. 

• Our code optimization strategy improved system stability, allowing more trucks to be displayed simultaneously.

Results

• The client expanded the map display capacity from 100 to 1000 truck objects. 

• Acropolium provided seamless integration with nearly 1000 IoT devices, including GPS trackers from various manufacturers. 

• We introduced new features like live video streaming from cameras and remote command processing to the client’s workflow.

• The solution supports real-time visualization of truck movements with smooth transitions.

• Additionally, the client saw significant reporting speed optimization, switching from 4 days for 4 trucks to 15-40 seconds for 1000 trucks at a time.

Read our case study here: 

https://acropolium.com/portfolio/iot-based-gps-fleet-tracking-app-development/ 

We would like to describe two cases in the Healthcare domain, one of which will be our product - Software Package for Dental Diagnostic Clinics, and another is a Single Remote Calibration and Quality Control Ecosystem for Medical Assets

1. Software Package for Dental Diagnostic Clinics

The Problem

The client needed

• to organize all the paperwork, to make it more accessible; 
• a unified system that would keep a record of patients;
• a software with data storage of doctor's conclusions on each tooth;
• a platform that is simple and quick to learn for new users;
• to have a tool for a treatment plan and process control;
• to protocol stages of work with a client.

The Solution

After competitor and domain analysis, the client received

• an ability to add a clinic;
• create and keep medical cards of patients;
• saved updates in a medical card;
• stored and easily accessed data;
• patient's teeth treatment control;
• dental cards showing problematic areas with jaw projects;
• default schemes of teeth;
• schematic view of pantomograms,
• all gathered in a gallery mode.

The Results 

The clients benefit from using a software package, namely 

• receive a quick, easy-to-use and easy-to-learn application for everyday challenges;
• enhance staff management and communication;
• increase the client’s loyalty due to a modernized approach;
• save up time on mundane tasks;
• reduce up to 80% expenses on staff engaged in running clinic records;
• invest saved money in better equipment and professional training for employees.

2. Single Remote Calibration and Quality Control Ecosystem for Medical Assets

Our client, a big medical vendor from the USA, wanted to organize, control and automate team workflow, medical equipment maintenance and give a hand to other companies who suffer from slow processes. The customer needed a so-called CMMS (Computerized Maintenance Management System) that would unite vendors and technicians, be a convenient platform for collaboration and speeding up quality checking operations. However, we dared to take one step ahead.

The Problem

As a medical vendor the client had to allocate a bunch of human force and administrative expenses for the following routine tasks:

• audit of all incoming assets,
• their certification and marking,
• quantity and quality control.

Moreover, the client experienced major challenges in

• vendor-client communication;
• big expenses on workforce;
• ineffective and invisible data storage and access issues;
• track status failures.

The Solution wasa high load platform that resolved the issues with

• asset compliance;
• asset maintenance;
• calibration software;
• cloud-based data storage;
• metrology search engine.

The Benefits the client received

•  easy-to-use dashboard with administrative panels and different features;
• remote calibration of various devices, mainly medical ones;
• improved client-to-client and client-vendor communication and documentation exchange;
• increase in work effectiveness due to optimization of calibration processes;
• 65% enhance in sales;
• convenient networking, etc.