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AI order status assistant for an online store. The customer types an order number and gets the real status, items, tracking number and delivery date. The model calls an order lookup function and never invents data. Python, FastAPI, OpenAI function calling. Try order NH-10234: https://nordholm-order-bot.onrender.com
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Rebuilding the moment an inbound inquiry turns into a confirmed booking for MEND Appliance Care, a local repair shop in Spalding, Lincolnshire.
The Problem Solved: Replaced 2.5 hours of daily owner phone-tag, vague fault descriptions, wrong van parts, and customer no-shows with an instant AI-powered diagnostic intake, fixed upfront pricing, deposit collection, and auto-generated dispatch scheduling.
Key Features Built in Lovable:
• Multi-Modal Intake: Customers describe the issue using text, photos, model numbers, or video.
• Instant AI Diagnosis & Transparent Pricing: Autodetects fault & exact part (e.g., Bosch Serie 6 drum shock absorbers) with clear labor/part cost breakdowns.
• Flexible Resolution Paths: Home Repair, Workshop Drop-Off, DIY Part Purchase, or local stockist routing (Toolstation/Screwfix).
• Owner Safety Net & Dispatch Dashboard: Real-time job calendar, "Ask Maya" human-in-the-loop review queue, and 1-click customer comms.
Built entirely with @Lovable for the #lovablechallenge.
Shop owner dashboard : Email: maya@mend-demo.co.uk
Password: MendDemo2026
The "Ask Maya" human-in-the-loop queue is one of those details that separates a clever demo from something you can actually ship to a real business. Most AI intake flows skip this — they either automate everything and break on edge cases, or hand off to a human and defeat the...
Problem: Apps need a secure, organized backend to handle users, orders, products and AI features.
Solution: Built a centralized API Gateway (BFF) in n8n Cloud. One webhook handles validation, API key security and rate limiting, then routes to sub-workflows: Users (register/login), Orders (stock check, totals, status), Products (search), and AI (OpenAI chat, recommendations, review summaries). Supabase is the database.
Tools: n8n, Supabase, OpenAI API, Webhooks
Self-initiated demo project.
I'd test authorization separately for each sub-workflow, especially Orders. Does the gateway pass a verified user identity through, or does the Orders workflow check that the caller can access each order?
Shipping updates sent without a single manual check-in.
Every one triggered automatically from the actual scan event, not a guess at timing.
→ Want this for your fulfillment flow? Message me.
Seeing the scan event fire the update removes the guesswork and cuts the manual step entirely. That kind of real time trigger keeps fulfillment moving without pause.