AI app for operations · no coding needed
Fresh Route Coordinator
A fully automated coordination layer that turns a logistics business into a self-running morning routine.
Made for: Market gardeners with a van
What it does for you
The problem
Farmers harvest without knowing who will buy and waste resources driving half empty trucks.
What it gives you
Live catalogue, delivery route sheet and sold inventory list
What you give it
Daily harvest photographscrop varieties
How it works, step by step
- Identify crop and grade via photo
- Set dynamic pricing based on freshness
- Cluster orders by neighbourhood
- Generate shortest delivery loop
- Handle voice reorders and substitutions
- Print or speak route instructions
What you see on screen
- Harvest capture
- live catalogue
- route planner
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Fresh Route Coordinator with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Fresh Route Coordinator with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links1 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare19 KB
- prompt-vps.mdThe same build on your own server (Docker)19 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
- demo/index.htmlThe working demo on sample data193 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
For market gardeners, turn daily harvest photos and local demand into a live delivery route and sold inventory, and the problem it addresses. The value hypothesis is a zero-waste logistics layer that runs automatically each morning; the pilot must establish whether that benefit is real.
Capture harvest, identify and price items, view live orders, generate route, pack by stop, and deliver. Start with daily harvest photos and finish with a completed delivery route and sold inventory.
How the AI works
Use computer vision to recognise and grade produce from photos. Use routing algorithms to optimise collection and drop off loops. Use voice agents to handle customer reorders and substitutions. A farmer confirms the harvest grade and pricing before the route is generated.
Safeguards
Delivery radius limits, substitution approval rules and grade rejection thresholds.
What to build first
One market gardener, one neighbourhood, thirty households invited via local group. The farmer photographs six crop types each morning. A single retrieval augmented generation agent writes the catalogue, confirms orders, and prints a route sheet. No app to install. No inventory dashboard. Just a photo, a list, and a drive.
What it can connect to
Local Facebook groups for household invitations and basic payment gateways.
The screens in detail
Use a camera interface for crop identification, a grid view for neighbourhood orders, and a map view for the delivery loop. Display real time inventory levels and order status. In this product, the first view is harvest capture, followed by live catalogue and route planner.
