TG-bot for analytics and product selection for procurement
Advanced TG-bot that acts as an automated procurement manager. Instead of superficial checks, CiTO passes potential products through a multi-agent AI system. It collects data, calculates unit economics, analyzes competitors, and issues a strict, reasoned verdict: whether to invest the budget in purchasing this item.
What has been implemented:
• Multi-model AI architecture: Data processing through top LLMs (OpenAI GPT-4o for analyzing feedback and pain points of the target audience, Google Gemini Pro for processing large arrays of market data and trends).
• Deep financial analytics: Automatic calculation of projected unit economics — expected CPA (cost per acquisition), margin, breakeven point.
• Niche and competitor analysis: Assessment of market overheating, average competitor pricing, and seasonality of demand for a specific product.
• Risk assessment system (Scoring): AI generates a final viability score for the product (from 0 to 100), considering supplier reliability, advertising risks, and trend dynamics.
• Detailed reports in Telegram: Issuance of a structured analytical dashboard directly in the chat with a final decision (Take / Do not take / Risky).
Result:
A powerful analytical center in Telegram that protects the budget from leaking into illiquid products and finds profitable positions for scaling connections in seconds.
Implementation time: 10 days
What has been implemented:
• Multi-model AI architecture: Data processing through top LLMs (OpenAI GPT-4o for analyzing feedback and pain points of the target audience, Google Gemini Pro for processing large arrays of market data and trends).
• Deep financial analytics: Automatic calculation of projected unit economics — expected CPA (cost per acquisition), margin, breakeven point.
• Niche and competitor analysis: Assessment of market overheating, average competitor pricing, and seasonality of demand for a specific product.
• Risk assessment system (Scoring): AI generates a final viability score for the product (from 0 to 100), considering supplier reliability, advertising risks, and trend dynamics.
• Detailed reports in Telegram: Issuance of a structured analytical dashboard directly in the chat with a final decision (Take / Do not take / Risky).
Result:
A powerful analytical center in Telegram that protects the budget from leaking into illiquid products and finds profitable positions for scaling connections in seconds.
Implementation time: 10 days