I Launched a WhatsApp Automation Service for Small Shops — Powered by Local Open Models

说明与用途

小型企业通过本地Gemma 3 AI助手即时回复WhatsApp，消除云API费用并将数据保留在本地。

问题

Small shops and restaurants lose customers because their owners cannot answer WhatsApp messages quickly enough.

结果

The service reduces response time to seconds, captures orders instantly, and keeps customer data on local hardware, eliminating per-message API costs.

工作流

• 1. Customer sends a message on the shop’s WhatsApp number.
• 2. The local Gemma 3 model (via Ollama) processes the message and generates an instant reply.
• 3. If the query is within the FAQ set, the assistant replies directly.
• 4. If the query is an order, the assistant records it and sends an instant alert to the owner.
• 5. If the query is outside the assistant’s knowledge, it forwards the message to the owner for manual handling.
• 6. Orders are optionally logged to a spreadsheet and weekly reports are generated (Pro package).

证据

Small shops and restaurants in my region lose customers every day for a simple reason: nobody answers WhatsApp fast enough.

来源

an AI assistant on the shop's WhatsApp number that answers instantly, 24/7 — and it runs on open-weight models, locally.

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Runs on Gemma 3 via Ollama on a local machine — no per-message API cost, and customer data stays with the business

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Basic — $80: FAQ auto-replies + welcome message

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