ValsyDev

Project goals:

Furniture store is a leading Ukrainian e-commerce platform specializing in furniture for homes and offices. It streamlines the buying experience by offering a diverse selection of high-quality furniture, a user-friendly browsing experience, and integrated delivery and installation services. With a focus on convenience, quality, and customer satisfaction, Furniture store has become a go-to destination for hassle-free furniture shopping in Ukraine.

Furniture store offer a wide selection of living room, bedroom, kitchen and office furniture online. Detailed product descriptions, customer testimonials and an intuitive interface allow customers to make informed decisions. The complementary product range platform ensures a smooth and enjoyable process from initial selection to final customisation and simplifies the delivery and installation process as much as possible.

Challenges:

• Create a unified online platform for exploring, comparing, and purchasing furniture with transparent pricing
• Combine product catalog, delivery, and installation in one seamless experience
• Manage multiple furniture categories and maintain consistent quality presentation
• Ensure smooth logistics and payment integration for a hassle-free user journey

Solutions:

How our team delivered a next-level furniture experience:

• Built a responsive, fast, and scalable platform
• Created intuitive navigation and clear product presentation
• Connected payment gateways, delivery, and installation services
• Ensured seamless performance across devices and browsers

Tech stack:

Core Stack & Infrastructure: WooCommerce, WordPress + Elementor + SCSS + jQuery, LiqPay + NovaPoshta Shipping, WPML + Rank Math SEO

Project goals:

This platform designed to streamline international job placement with a particular focus on relocation to the United Kingdom. Leveraging intelligent automation, the platform generates tailored, high-quality CVs and cover letters based on individual user profiles, significantly enhancing job search effectiveness.

In addition to personalized document creation, CareersBar offers comprehensive support for the relocation journey, ensuring a seamless and efficient transition for job seekers pursuing opportunities abroad.

Job seekers often struggle with creating high-quality application materials and navigating the complexities of relocation.

Challenges:

• Strict compliance with UK visa and immigration requirements
• High quality standards for auto-generated documents (to avoid errors or generic output that may reduce conversion)
• Tight timelines
• Small team with limited resources
• Need for functional MVP to support fundraising and early sales

Solutions:

We developed CareersBar to solve this problem by automating the generation of CVs and cover letters, while also providing personalized relocation support - with employers offering these opportunities directly through the platform.

As a result, users save time, experience less stress, and significantly increase their chances of successful employment in the United Kingdom.

Key Features Built: 

• AI Resume Generation: Creates structured resumes highlighting the candidate's experience, skills, and strengths
• AI Cover Letter Generation: Automatically generates personalized cover letters tailored to specific job requirements
• Intuitive Interface: Simple and user-friendly interface for quick document creation and editing
• Relocation Support: Provides tools and resources for those planning to move to the UK, including visa and immigration information

Tech stack:

Architecture & Tech Stack: Next.js + TypeScript, Serverless with AWS Lambda, PostgreSQL, OpenAI API, AWS-native components for scalability.

Project goals:

SUMO Scheduler transforms appointment scheduling and customer engagement into a unified, intelligent workflow — empowering solo professionals and enterprise teams alike. 

Challenges:

• Deliver critical features within tight deadlines
• Integrate an AI-powered chat widget as a plug-and-play solution for client websites
• Maintain close coordination with the client’s other development teams
• Respond rapidly to shifting priorities
• Ensure stable quality and flexibility under strict time constraints

Solutions:

To address common business needs around customer interaction without requiring custom development, we implemented the universal SUMO Scheduler AI chat widget — featuring appointment booking, operator communication (chat/call), flexible interface customization, and custom email notification functionality for website owners.

Additionally, within the SUMO Scheduler
platform itself, we introduced:

• system email notifications for users of SUMO features
• a feedback collection module with admin panel visibility

These solutions enhance communication efficiency, automate service processes, and improve the overall user experience.

As the core development partner, our team focused on:

• Delivering AI-powered features such as a customizable chat widget with booking and live communication capabilities
• Implementing modular infrastructure for scalable email notifications and feedback collection
• Ensuring seamless integration across multiple use cases and client website environments

We maintained daily communication with SUMO’s founders and internal teams, conducted regular demo sessions, and quickly iterated based on evolving priorities, tight deadlines, and live product feedback.

Tech stack:

Architecture & Tech Stack: React, TypeScript, Java, AWS Lambda, DynamoDB, OpenAI API, AWS-native components for scalability

Project goals:

ProfiCRM is a custom CRM system developed for product-based businesses that require accurate inventory tracking, clear order processing, and real-time analytics. The client, an experienced user of various CRM systems, wanted a solution that would overcome the limitations of existing tools and meet the practical needs of small and medium-sized companies in retail, logistics, and distribution. The goal was to build a system that balances functionality with simplicity, avoiding both overly complex enterprise CRMs and overly basic solutions that do not support real business processes

Challenges:

Limited team resources, strong need for system stability, and simplified UX for a non-digital audience.

The delivered solution significantly improved operational efficiency: order processing speed increased by 33%, errors during product transfers and stock tracking decreased by 50%, and warehouse managers gained up to one extra hour per day thanks to automation.

Solutions:

During the domain analysis, the team studied product turnover chains, procurement, warehousing, transfers, and order workflows. Competitor research included both local and international CRMs to identify best practices and remove unnecessary modules. Interviews with managers and small business owners helped validate the product direction. Customer journey maps and user flows were created for scenarios such as adding products, placing orders, and viewing inventory, while hypotheses about data structure and dashboard layouts were tested through prototypes.

Tech Stack & Tools Used:

PostgreSQL, React, Node.js, GO, PHP, JWT, Jira, Firgma, Typescript

Project goals:

Project was founded to solve a fundamental pain point: modern B2B sales teams are drowning in disconnected tools, wasting time on manual tasks and rigid workflows. The goal was to create an AI-native GTM system that centralizes campaign planning, outreach, and CRM updates in one seamless flow:

• High cost and complexity of running outbound sales across multiple SaaS tools
• Lack of intelligent automation and personalization at scale
• Need for real-time control over campaigns and performance

Challenges:

• Replace 3–5 disconnected tools with one smart system
• Enable natural language workflows powered by GPT
• Deliver full multichannel outreach across email, LinkedIn, and phone

Solutions:

We’ve helped Project to transform a basic outreach prototype into a full-scale AI platform that automates the entire B2B sales pipeline — from lead discovery to multi-channel engagement. As a result, sales teams using the platform have seen up to a 5× productivity increase and a 40% reduction in manual CRM work.

As the core development partner, our team focused on:

• Scaling AI workflows across all user-facing features
• Refactoring codebase to improve quality, readability, and performance
• Redesigning architecture to support modular growth and efficient AI task orchestration

Key features built:

• Natural language-driven campaign builder
• Multichannel execution engine (email, LinkedIn, phone)
• AI-powered lead enrichment and contact validation
• Real-time analytics and reporting interface
• Prompt-based agent execution logic for GTM use cases
• Real-time analytics and reporting interface

Tech stack:

Core Stack and Infrastructure: Node, React, TypeScript, MongoDB, GPT via OpenAI API, AWS-native components for scalability