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WhatsApp AI Chatbot

Product

WhatsApp AI Chatbot

Production-ready WhatsApp AI chatbot for sales, support, and lead capture. Handles menu images, order flows, and 24/7 customer replies using Python backends and LLM orchestration.

Problem

A service business needed 24/7 WhatsApp replies for quotes, FAQs, and order intake — but manual replies caused slow response times and lost leads after hours.

Solution

Built a production WhatsApp AI chatbot with Python backend, LLM intent routing, structured order flows, and admin notifications for new conversations.

The challenge

The client received dozens of WhatsApp messages daily — product questions, price requests, and order details — but could only reply during business hours. Leads went cold overnight and weekends. They needed a WhatsApp chatbot developer in Pakistan who could build something production-grade, not a fragile no-code demo.

Architecture & build

I designed a Python service that receives WhatsApp webhooks, classifies intent with an LLM layer, and routes users through guided flows: menu browsing, quote collection, and order confirmation. Session state is stored server-side so conversations resume correctly. Admin alerts fire on high-intent messages and completed orders.

Outcome

The bot now handles first-line support and sales qualification around the clock. The business owner reviews exceptions in a dashboard hook and escalates only when needed. The same codebase is packaged as a reusable product for restaurants, shops, and service providers.

Tools used

Results

Highlights

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Project FAQ

Can Ahtasham build a similar project for my business?

Yes. Each case study on this portfolio reflects a real delivery pattern — WhatsApp bots, scrapers, APIs, and automations. Contact via WhatsApp or email with your scope for a quote and timeline. Projects are scoped transparently with milestones and post-launch support.

How long do automation and bot projects take?

WhatsApp chatbot MVPs typically take 2–3 weeks. Web scraping pipelines and email-to-Sheets automations often ship in 1–2 weeks. Custom Python APIs depend on complexity — most client backends launch within 3–4 weeks after requirements are agreed.

Do you provide ongoing maintenance after launch?

Yes. Bug fixes and small tweaks are included in the initial support window. Ongoing SEO/AEO/GEO, monitoring, and feature additions are available on monthly plans or per-task basis — so your automation keeps running as your business grows.

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