AI app for operations · no coding needed
Supplier Price Watch
Supplier price changes caught in messy documents and checked against what you actually buy.
Made for: Operations and procurement managers at mid-sized restaurants, distributors and trade contractors
What it does for you
The problem
Supplier price creep hides in line items, delivery fees and surcharge notes, and by the time anyone notices, the next order has already gone out at a higher rate.
What it gives you
Weekly price-change briefing with flagged increases, source links and approved reorder or switch recommendations
What you give it
Supplier price listsinvoicesemailspurchase history
How it works, step by step
- Connect supplier inboxes and price lists
- Extract line items, unit costs, fees and effective dates
- Match supplier descriptions to catalogue items
- Flag increases above a set threshold
- Show old and new prices with source links
- Draft reorder or switch recommendations for approval
What you see on screen
- Supplier inbox
- price-change alerts
- recommendation review
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 Supplier Price Watch 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 Supplier Price Watch 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 Cloudflare22 KB
- prompt-vps.mdThe same build on your own server (Docker)22 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 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 operations and procurement managers at mid-sized restaurants, distributors and trade contractors, turn supplier price lists, invoices and emails into a flagged price-change briefing with reorder or switch recommendations. Address the recurring problem: price creep hides in line items, delivery fees and surcharge notes, and by the time anyone notices, the next order has already gone out at a higher rate. The value hypothesis is that early detection and a clear recommendation save more than the cost of the service; the pilot must prove that saving is real and repeatable.
Connect supplier inboxes and purchase history, extract line items and fees, match to catalogue, flag increases above threshold, review recommendations, approve or reject, and log the decision. Start with supplier price lists, invoices, emails and purchase history and finish with approved reorder or switch recommendations with source links.
How the AI works
Use language models to read unstructured PDFs, spreadsheets and emails, extract line items and fees, and match supplier descriptions to catalogue items. A buyer reviews every flagged change and recommendation before anything is sent; the system never places an order or contacts a supplier without human approval.
Safeguards
Buyer approval required for any recommendation; read-only access to supplier documents; no automated ordering; permission levels for viewing vs. approving; audit trail of all changes and decisions; must not send communications to suppliers without explicit buyer action.
What to build first
One buyer, one supplier connection, one product category, and two modules: extraction and flagging. Manual review of all matches and recommendations before any action.
What it can connect to
Email inboxes (Gmail, Outlook), PDF and spreadsheet storage (Google Drive, Dropbox), basic purchase history exports (CSV), and later purchase order systems.
The screens in detail
Use a dashboard for alerts with a filterable list of flagged changes, a detail panel showing old versus new prices side by side with source document links, and a review queue where buyers approve or reject recommendations. Display product, supplier, effective date and threshold status. Provide a weekly digest email with a simple approve or ignore button. In this product, the first view is supplier inbox, followed by price-change alerts and recommendation review.
