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Gravity Group — Mobile Applications and AI Automation

Development of mobile applications of any complexity and intelligent automation systems based on artificial intelligence.

Authors: Gravity Group

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