The customer asks, the bot closes the order — and the business runs.
Case study by Achiya Cohen, founder of Achiya Automation
A WhatsApp bot for a business that sells over messages: it answers questions from a business info document the owner updates themselves in Google Docs, recognizes returning customers against a table, takes orders in a natural conversation — and knows when to throw up its hands and hand off to a human rep.
Orders stuck on the phone A natural conversation, a tidy order
- The business owner answers the same questions over and over — prices, availability, deliveries
- Orders jotted on notes and in chats — they get lost
- A returning customer is treated like a stranger
- When they're busy — customers simply get no answer
- The bot answers from a business info document — prices, products, policy
- Recognizes a returning customer against the customer table and tailors the conversation
- Takes a complete order and summarizes it neatly
- Complex case? Hands off to a human rep with all the context
Here's how it works inside
A description of each flow, with identifying details removed.
Message → customer recognition → AI → order or rep
Every message is first checked against the customer table — a new customer is registered automatically, a returning customer gets continuity. The AI agent answers from a live business info document (prices, products, terms) that the owner edits themselves. When the customer finishes an order, the bot summarizes it neatly; when the conversation gets complicated, it passes to a rep, and the bot knows not to interfere anymore.
The numbers you feel every day
How many orders did you miss while you were busy?
A bot that knows your business inside out answers for you — and you just approve orders.
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