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Lead capture automation for an online store, built in n8n. When a visitor submits the website contact form, the workflow saves the lead to Google Sheets and instantly sends a confirmation email to the customer and a notification to the store owner. No manual copying, no lost leads.
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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...
Managing product orders and inventory manually takes hours of tedious, repetitive work. Every time a customer inquires or places an order, you have to manually check stock availability, update Google Sheets line by line, send out custom approval emails, and track down confirmation status.
Which one is faster, saves more time, and prevents mistakes?
1 voted
33%
2 voted
67%
3 votes
Closed
Automated Workflow feels more understandable and practical and I like how the design feels modern minimalistic great job 🎉🎉🔥🔥
What I built & why
I built PawRoute, a smart booking and automation experience for a fictional solo mobile dog groomer, Maya, based in Austin, Texas.
I chose mobile dog grooming because booking isn't as simple as finding an empty calendar slot. Every new inquiry can require the owner to check the customer's location, understand the dog’s needs, recommend a service, calculate pricing, find a time that works with the driving route, confirm the appointment, send reminders, and handle cancellations.
I wanted to answer one question:
How can I turn “Can I book?” into “You’re booked” with as little work from the business owner as possible?
So I designed PawRoute around a simple 3-step customer booking experience. Customers provide their location and dog details, receive a recommended service with clear pricing, and choose from available appointment times.
I also created Best Route Match, which prioritizes appointments when Maya is already working nearby instead of treating every available time equally.
Behind the customer experience, PawRoute handles the repetitive work: booking confirmations, reminders, customer information, route updates, rescheduling, and automation activity.
I also designed an owner dashboard where Maya can see appointments, customers, her driving schedule, and what PawRoute has automated.
Finally, I added a cancellation-recovery workflow. When an appointment opens up, PawRoute can help identify suitable waitlisted customers and refill the slot instead of requiring Maya to manually message people.
The goal wasn't simply to build another booking website. It was to design a system where the customer sees simplicity while the complexity is handled behind the scenes.
3 steps for customers. Less scheduling work for Maya.
Built with Lovable for the Lovable Challenge.
