---
title: "The customer asks, the bot closes the order — and the business runs."
description: "Real case study: Answers from the business document, recognizes returning customers and takes orders. Includes system screenshots, before/after, and measured results."
canonical: "https://achiya-automation.com/en/case-studies/whatsapp-orders-bot/"
last-updated: "2026-09-08"
language: "he"
source: "https://achiya-automation.com"
---

# The customer asks, the bot closes the order — and the business runs.

> Real case study: Answers from the business document, recognizes returning customers and takes orders. Includes system screenshots, before/after, and measured results.

מקור: https://achiya-automation.com/en/case-studies/whatsapp-orders-bot/

---

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- WhatsApp bot — support and orders for a business

n8n · GPT · SheetsDeployed in the projectA real project from the field

Case study by [Achiya Cohen](https://achiya-automation.com/en/about/), 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.
[How it's built](#flows)[See the results](#results)

After hours

The flow was designed to receive orders when the business is closed

1

Google Docs document = all the knowledge

Logged

Order summary in the flow

Before & After

## Orders stuck on the phone A natural conversation, a tidy order
Before
- 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

After
- 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

The flow itself

## Here's how it works inside

A real screenshot from the system — not a marketing mockup.
FLOW · 01

### 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.
WhatsApp webhookAI AgentGoogle Docs knowledgeGoogle Sheets CRM

n8n · CHAT → ORDER → HANDOFF

Results

## The numbers you feel every day
After hours Operational capability The flow was designed to receive messages when connected services are available; exceptions go to a rep Summary Structured order The bot summarizes the order using predefined fields Document Knowledge update Price or product changes are made in the source document

## 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.
[Let's talk on WhatsApp](https://wa.me/972505377060?text=Hi%20Achiya%2C%20I%20came%20from%20the%20website)[Leave your details](https://achiya-automation.com/en/#contact)

Want a system like this? Check out our [WhatsApp bot service](https://achiya-automation.com/en/services/whatsapp-bot/) or our [pricing & plans](https://achiya-automation.com/en/pricing/).

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