Feb 10 • 📝 Admin's Blog
💼 Case study - AI Agent for e-commerce
More and more businesses are turning to AI agents to handle data analysis, reporting, and competitive research—without hiring an entire team.
Recently, a client wanted to test a hypothesis: Could an AI agent provide e-commerce business owners with real-time insights on their own and competitors’ marketplace performance?
We built a fully automated solution in 15-20 hours, covering multiple data sources and communication channels. Here’s how it works:
🛠️ How We Built It
1️⃣ Multi-Platform Access – Users can start a conversation via Telegram or Email, and the system automatically recognizes them and continues the chat within a separate thread.
2️⃣ Automated Data Retrieval & Report Generation –
• The AI agent pulls data from 5 integrated tools + a vector store to provide relevant insights.
• When a user requests data, the system gathers it, formats it into a CSV file, and delivers it via Telegram or Gmail—fully automated.
3️⃣ Real-Time Error Handling – If an issue occurs, the system immediately notifies the tech support team and provides feedback to the user.
4️⃣ Admin Dashboard for Full Control –
• Track token usage per conversation and analyze all messages and files.
• Identify failed AI responses to improve system accuracy.
• Manage knowledge base files via a dedicated admin page.
🗣️ Do you see value in AI agents that generate reports, process files, and deliver real-time insights? Drop a comment—I’d love to hear how this could fit into your business! 🚀
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💼 Case study - AI Agent for e-commerce
