AI Agent for an Online Store: Case Study of Automating 100+ Daily Requests
How an electronics online store automated 100+ daily customer requests with an AI agent and increased conversion by 22%.

The Situation Before Implementation
An electronics online store was receiving over 100 requests per day: questions about product availability, specs, delivery terms, and return policy. Three managers simply couldn't keep up — average response time was 3–4 hours. Nearly 40% of weekend requests went unanswered until Monday.
Key problems:
- Managers spent 70% of their time on repetitive questions
- Customers left for competitors without waiting for a reply
- On weekends, the store effectively went dark
What Was Implemented
A custom AI agent trained on:
- Product catalog with specifications (2,400 items)
- Store FAQ (180 questions and answers)
- Delivery conditions for all regions
- Return and warranty policy
Connected channels: Telegram, website chat, Instagram Direct.
Integration: KeyCRM — the agent passes qualified leads with full conversation context.
Results After 60 Days
| Metric | Before | After | |---|---|---| | First response time | 3–4 hours | 8 seconds | | Weekend coverage | 60% | 100% | | Requests resolved without manager | 30% | 78% | | Conversion to order | 4.1% | 5.0% |
Conversion increased by 22%. Managers freed up 5+ hours per day and shifted their focus to complex sales and corporate clients.
What the Agent Handled Independently
- Comparing product specifications
- Finding alternatives when items were out of stock
- Calculating delivery cost and estimated time
- Processing return requests
- Answering warranty questions
What Was Left for Managers
- Non-standard return situations
- Corporate orders of 50+ units
- Claims and complex complaints
- VIP customers
Conclusion
The AI agent paid for itself in the first month of operation. The cost of handling one request dropped 4x compared to manual processing. The store scaled its product range without hiring additional support staff.
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