Projects using WhatsApp in RawalpindiProjects using WhatsApp in RawalpindiAI Repair Shop Assistant: Full Customer Journey on WhatsApp (n8n + AI Agents)
I built an AI system that runs a repair company's entire customer process automatically, over WhatsApp.
The problem
A device repair business has to handle many customers at once. Taking in details, sending quotes, chasing approvals, tracking parts, telling people when to pick up, and asking for feedback. Doing all of this by hand is slow and things get missed.
What I built
One large n8n system with a team of AI agents, each doing one job.
Takes in new customers through a webhook and creates their record
Generates a quote PDF and sends it to the customer
Reads the customer's WhatsApp reply and understands what they want (approval, question, complaint, or call request)
Replies in the customer's own language, German, English, or others
Reminds staff when a device is waiting for parts
Creates a pickup code and tells the customer when their device is ready
Waits 7 days after a repair, then asks the customer for feedback
Flags negative feedback as a complaint so the team can act fast
The smart part
Instead of one big confused bot, I used many small AI agents that each handle one clear task. This makes the system reliable and easy to fix. An intent classifier reads every message first and sends it to the right agent.
Tech used
n8n, Google Gemini, WhatsApp (Evolution API), Google Sheets, PDF Generator API, Gmail.
Result
A hands-off assistant that manages the full customer journey from first contact to feedback, so the team can focus on repairs instead of messages.💯 Designed and built Aixen AI a unified communication and lead management platform powered by multiple LLMs working in coordination. The system monitors and manages inbound leads across email, Instagram DM, WhatsApp, and Telegram simultaneously. Each channel has a dedicated AI agent that reads incoming messages, understands context and intent, generates appropriate responses, and escalates or routes leads based on qualification criteria. A central Lead Manager Agent maintains a live unified inbox view deduplicating contacts across channels, tracking conversation history, and scoring lead quality in real-time. Sales-ready leads are pushed to the CRM with a full conversation summary automatically. The client — a digital marketing agency — replaced a 4-person response team with this system, achieving sub-2-minute response times across all channels 24/7. Built on n8n with GPT-4o, Claude, and WhatsApp Business API. Title: AI WhatsApp Booking Automation for Fitness Studios (n8n + Google Gemini AI Agent)
The Problem
The studio was losing members every week without realizing it. Class inquiries came in on WhatsApp at all hours, but staff could only reply during business hours, so by the time someone got a response, they had already booked elsewhere. On top of that, checking real time availability, confirming times, chasing no shows, and logging every booking by hand was quietly consuming hours that the team needed for actually running classes.
The Solution
I built an AI powered WhatsApp automation agent that takes over the entire class booking workflow from first message to post class follow up, cutting the manual work out of the process almost completely. The system combines the WhatsApp Business API, an n8n automation workflow, and a Google Gemini AI agent to run the studio's booking process end to end.
How it works
A member messages the studio's WhatsApp number with a question or booking request. The AI agent reads the message, understands intent, and checks the studio's real class schedule before replying, so every answer reflects actual availability instead of a generic response. It qualifies the lead by asking the right follow up questions (which class, which time, first time or returning member). Once confirmed, the booking is logged automatically to Google Sheets, the studio owner gets an instant confirmation message, and the member receives automated reminders 24 hours and 2 hours before class. If someone doesn't show up, the agent sends a no show follow up on its own, no manual chasing required.
The Result
The studio now handles every inquiry, reminder, and no show follow up in seconds, any time of day, checking real availability instead of guessing, and without adding staff hours or hiring extra front desk support. What used to take a staff member several hours a week now runs on autopilot, which means faster response times, fewer no shows, more classes booked instead of lost to slow replies, and a system that pays for itself many times over in reclaimed time and recovered bookings.
Tools used: WhatsApp Business API, n8n, Google Gemini AI, Google Sheets, Workflow Automation AI-Powered WhatsApp Chatbot for Restaurant Automation
Built a fully automated AI WhatsApp chatbot that handles 100% of customer inquiries for restaurants, 24/7, with zero human involvement. Customers send WhatsApp messages asking about the menu, deals, delivery options, and opening hours, and the bot reads each question and replies instantly with accurate, context-aware information. The core problem this solves is real: restaurant staff waste hours every day manually answering the same repetitive questions on WhatsApp. This chatbot eliminates that entirely with no delays, no missed messages, and no staff time lost. The system is built to run hands-off from day one, giving restaurant owners a scalable support layer that works around the clock without adding headcount.
#AIAutomation #WhatsAppChatbot #n8n #Restaurant Tech. 
