Gravity Group

⭐ 4.9 rating | 📦 24 projects | ⏱ average duration: 12 weeks

Team Composition

Backend Developers (Java, PHP, Node.js, Bitrix, Python, 1C)
Mobile Developers (Kotlin, Swift, Flutter, ReactNative)
Frontend Developers (Vue, React)
Designers
Analysts
Testers
Project Managers

Technology Stack

Java, PHP, Node.js, Bitrix, Python, 1C, Kotlin, Swift, Flutter, ReactNative, Vue, React

Projects

AI Assistant for Online Store — automation of consulting and substitute product selection
Content Generation for Products — automatic creation of descriptions and reviews based on AI
Project Manager Assistant — local assistant for working with documents and meetings
AI Simulator for Sales Training — online trainer with real-time call simulation

Areas of Work

📱 Development of mobile applications of any complexity
🤖 Development of intelligent systems and AI-based automation

Case Studies

Case 1. AI Assistant for Online Store

Challenge: Products are often reserved, but this information is not updated on the website. Customers don't see real-time availability, and managers are overloaded with questions.

Solution:

AI-powered chatbot, operating only during non-working hours for managers (weekdays from 7 AM to 4 PM Moscow time)
Integration with inventory management system — the bot informs about real-time product availability
Scaling: "Find Analog" button on product cards for out-of-stock items, calling the AI bot

Result:

✅ Reduced workload for managers
✅ Customers receive up-to-date information 24/7
✅ Potential for automating substitute product selection and consulting

Case 2. Content Generation for Products (Reviews + Advantages)

Challenge: Product cards lack unique texts, and there are few reviews. It's necessary to automatically generate "Advantages and features based on user reviews" blocks.

Solution:

AI analyzes existing reviews, product descriptions, and general information from the internet
Unique text is automatically generated, increasing conversion rates
Fully automated process for the entire catalog

Result:

✅ Content uniqueness without copywriter involvement
✅ Increased customer trust
✅ Scalability to thousands of products

Case 3. Generation of Structured Product Descriptions

Challenge: To automatically create detailed, structured, and sales-driven descriptions for the entire catalog.

Solution: AI prepares a complete product description, including:

Title and subtitles
Design features
Technical specifications
Target audience
Advantages
Summary from user reviews (RU segment)

Result:

✅ Fully automated generation of descriptions for the entire catalog
✅ Savings on copywriters and editors
✅ Consistent style and completeness of information

Case 4. Automatic Selection of Recommendations and Accessories

Challenge: For each product in the catalog, related accessories need to be recommended. Manually assigning them for thousands of items is impossible.

Solution:

AI analyzes product characteristics and automatically selects relevant accessories
For the CHAMPION AG 252 power auger, the system recommends suitable drills, oils, fuel mixtures, and protective equipment
Works for the entire catalog without manual intervention

Result:

✅ Increase in average check through cross-selling
✅ Time savings for managers and content managers
✅ Relevant recommendations for each product

Case 5. Project Manager Assistant

Challenge: Automate routine project manager tasks: meeting transcription, document analysis, report generation, working with the project knowledge base. Critical requirement: full locality for data confidentiality.

Solution:

Meeting Processing:

Video transcription with speaker diarization (Whisper + pyannote) — one hour of video in 2 minutes
Automatic participant recognition by voice
Loading acceleration by 80–90%

Knowledge Base:

Vector search (Qdrant + OpenSearch) — memory of all meetings and documents
AI chat with access to all project information
Support for any LLM (OpenAI, Anthropic, local)

Documents:

Parsing PDF, DOCX, scans (OCR)
Editing in OnlyOffice via browser
AI document editing via text commands (LangGraph + Office.js)

Optimization:

Storage compressed by 84% (65 → 10.5 MB per file)
Client data isolation (multi-tenant)

Result:

✅ Local AI assistant, saving hours daily

Case 6. AI Simulator for Sales Training

Challenge: Create an online trainer to practice cold and warm sales skills in a safe environment, where AI plays the role of a customer with customizable behavior.

Solution:

Real-time call simulation: AI acts as a potential client (cold/warm lead, objection level, interest)
WebSocket architecture: real-time audio stream processing without delays
STT/TTS: Yandex Cloud Speech Kit — speech recognition for the salesperson and voice synthesis for the AI client
Dynamic prompt generation: adaptive context building — AI behaves naturally and unpredictably
Gamification: salesperson's task is to convince the AI to buy

Result:

✅ Safe environment for sales training
✅ Realistic dialogues with different scenarios
✅ Increased sales team efficiency without risk to real clients