RentaTeam

About project: Delivery food service with following key advantages: Unified menu: restaurants bid their prices and delivery time Client chooses a restaurant basing on cost and delivery time it bids Time of delivery is fixed, in case there is a delay client gets food at discount automatically. Our tasks: Develop the first version of this app in extremely short terms Collaborate with client on product development Develop clear UX/UI Work results: 5 weeks from project’s start to its launch on AppStore. Product’s impact and story maps created in 3 days. UX designed in 2 days. In 4 weeks app is developed and launched on AppStore. Orders and restaurants managing system is programmed within the same period of time. App processed dozens of orders per day within first two months upon its launch, hundreds in rush hours Android version was launched in 5 months after product hypothesis has been verified on iOS

About project

Dodo Pizza is an IT company where pizza franchise is fully automated. Mobile apps development became one of the most awaited event for the company and its franchises in 2017.

Our client set an ambitious task for us - it was to create the best pizza order apps in the world.

Here is what Fedor Ovchinnikov, Dodo Pizza founder, says about the result (in Russian):  

https://www.facebook.com/ovchinnikov.fedor/posts/10214414817625407

Our task

• Develop mobile apps in collaboration with client’s team. We are providing all the knowledge and experience needed to create the apps. Client consults us on the product, API in Dodo IS and design.

• Provide high technical level of product, be ready for quick changes and experiments.

• Make apps architecture ready for scaling in other countries, where business processes may differ notably.

Our results

• Project’s indicators such as audience reach and orders rate exceeded expectations almost twice.

• iOS app came in first place in “Food and beverages” chart on AppStore within the first week after its release.

• Apps got more than 5000 positive review in stores within the first two months.

• Apps reached around 99-100% in Crash-Free Sessions.

Cross-platform B2B SaaS solution for pre-selecting job applications.

Around 100,000 video interviews have been recorded. The service is used by large corporate clients: Beeline, MARS, IBS, Innova and several dozen others.

VCV is a chargeable SaaS solution for corporate clients

The video interviews allow companies to eliminate 20 to 60% of unsuitable applications, which saves HR managers a significant amount of time.

After the preliminary screenings, the applicants are graded using a customizable system. The system lets your entire team work on the applications.

Tasks:

• Filtering the incoming flow of applications
• Easy to work with regional vacancies
• Assessments with a flexible system for evaluating applicants
• Integration with leading HR portals
• Capability of working in your browser or through the app

We developed the following in this project:

• Working with video on all popular devices and platforms
• Native apps for iPhone and Android
• HeadHunter and SuperJob integration
• Service data analysis
• Email marketing based on an applicant's life cycle
• Triple full-concept change: it started as a resume database with video and became a SaaS solution with video interviews

Our team has created a solution based on VoxImplant service that has been integrated into client's system and allowed to conduct interviews by phone in real time. The main advantage of this solution is possibility to create complex interview scripts, react on answers that are being received during interview and recognize interviewee's speech.

All car services in one application

Project’s aim is to help drivers resolve all possible issues with car operation.

Our tasks were

• To develop native applications for iOS and Android based on layouts and API specification provided by client,

• To complete UX/UI design of services,

• To create a web-based solution for actual service providers in order to let them process orders using AvtoApp platform and integration with their internal CRM systems.

The application allows to:

• order and pay for various car goods and services,

• save up to 30% on fuel. We’ve developed promotions and discounts calculator that allows to search lowest petrol pumps’ prices,

• save time on searching for services’ providers and implementers,

• make an appointment for car wash or call evacuator using just the app,

• see reviews on service providers and choose the most reliable ones,

• and much more...

Challenges

• Join client’s ongoing work quickly and become part of existing team. Team already had server developers, QA, marketer, product owner, analyst/PM.

• Help to organize product development on SCRUMBAN principle.

• Develop one-page web-application for providers on React.js and Reduc.

• Cope with quick changes including those in API specification.  

Live streaming app for charity fundraising

Live video streaming of interesting people and events made to draw attention to humanity causes  

About project

Californian startup GoWatchMe literally “Makes the world a better place”. Project’s main idea is to draw attention to humanity issues with live streaming of interesting events by interesting people who care. Famous people do something remarkable and broadcast it live to collect donations that will be then transferred to a charity.

Results of our work

• Project was completed in 2.5 months. Initial backlog estimate given by the team was 2-3 months.

• Development process based on SCRUM methodology allowed client to be included into the product development and communication with the team as much as possible.

• Project has been developed without terms of reference, basing on fixed budget and time. Requirements were formed together with client by rolling wave method.

• Development on Node.JS allowed to meet almost all the scaling and load requirements out-of-the-box.

• We came to understanding that there are no free solutions for live mobile streaming on the market and chargeable ones are really costly. Our team created a version of live streaming library for new Swift with help of international community.

We've developed platform for Data Science Contest organized by Sberbank, Russia's largest bank.
This contest had the largest number of contestants ever recorded for such an event in Russia - the previous one was held by Avito event based on Kaggle platform and that result is now doubled.

Platform had to bear quite high load: it would reach around 50 requests per second, 80 on base, contestants generated several dozens of GB of content. And all this worked without a single crash on quite an average AWS server. The platform on Node.js has handled all requests really quickly: almost all of them in less than 0.2s, with ~5K TCP-sessions taking place simultaneously.

Original estimate for the project was three months, however we've managed to develop it within one month.