Supplier Price Watch

For

Operations and procurement managers at mid-sized restaurants, distributors and trade contractors

Solves

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.

Delivers

Weekly price-change briefing with flagged increases, source links and approved reorder or switch recommendations

Built in

10 days of creation time, MVP in 2 days

Investment

$5,000 for the MVP, $15,500 for the full product

Run it

Inside your business, or as part of your offer to clients

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.

1. Connect supplier inboxes and price lists.
2. Extract line items, unit costs, fees and effective dates.
3. Match supplier descriptions to catalogue items.
4. Flag increases above a set threshold.
5. Show old and new prices with source links.
6. Draft reorder or switch recommendations for approval.

What goes in, what comes out

The workflow

1. In
   Start with

   Supplier price lists, invoices, emails and purchase history

2. 1

   Connect supplier inboxes and purchase history

3. 2

   Extract line items and fees

4. 3

   Match to catalogue

5. 4

   Flag increases above threshold

6. 5

   Review recommendations

7. 6

   Approve or reject

8. 7

   Log the decision

9. Out
   Finish with

   Weekly price-change briefing with flagged increases, source links and approved reorder or switch recommendations

AI does the heavy lifting, people stay in charge

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.

What your team sees

Key screens: Supplier inbox, price-change alerts, recommendation review. 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.

Accounts and administration

User roles for buyers and managers, supplier and product match overrides, threshold rules, approval history, audit trail of all recommendations and decisions, and versioned source documents.

Integrations and data access

Email inboxes (Gmail, Outlook), PDF and spreadsheet storage (Google Drive, Dropbox), basic purchase history exports (CSV), and later purchase order systems.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   2 days

   One buyer segment, one recurring use case; first modules: extraction and flagging. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   3 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   5 days

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will operations and procurement managers at mid-sized restaurants, distributors and trade contractors use it to solve "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"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Paid pilot with one client, one supplier, and one category.
4. Measure, then decide. Track number of price increases caught before order placement; time saved per buyer per week on price checking. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. One buyer, one supplier connection, one product category, and two modules: extraction and flagging. Manual review of all matches and recommendations before any action.

After the MVP. Automate match confirmations after initial human feedback, add automatic reorder drafting, integrate with purchase order systems, and expand to all suppliers and categories.

What the build depends on. Access to supplier inboxes and purchase history, OCR for handwritten or scanned documents, and a reliable matching model for product descriptions.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test pricing at $299 per month per buyer, with a setup fee of $1,500 for initial supplier connections and catalogue matching.

Message to test

Never overpay a supplier again: get a weekly watch on every price change, with a clear recommendation before you order.

Where to find buyers

LinkedIn ads targeting procurement managers, industry trade shows for distributors, and direct outreach to operations managers in target verticals.

Lead magnet

Free price-creep audit: we review one supplier's invoices and price lists and show you where you overpaid last quarter.

The first 30 days

1. Week 1: Build extraction pipeline for one supplier's PDFs and emails.
2. Week 2: Match line items to a sample catalogue and set threshold rules.
3. Week 3: Deliver weekly digest with flagged changes and source links.
4. Week 4: Refine matching with client feedback and prepare for pilot expansion.

Paid pilot

Paid pilot with one client, one supplier, and one category. Baseline: current time spent on manual price checks and number of missed increases. Decision: if the pilot catches at least three price increases and saves two hours per week, proceed to broader rollout.

Success metrics

Number of price increases caught before order placement; time saved per buyer per week on price checking.

Retention and expansion

The system becomes the buyer's default watch on supplier changes; as more history and matches accumulate, the switching cost rises and the service becomes embedded in the procurement routine.

Why clients would pick it

The more supplier documents and purchase histories it processes, the better the matching model becomes, and the switch cost of moving to a new tool grows with every confirmed match and saved order.

Alternatives and positioning

Manual spreadsheet comparison, paper invoice review, or e-procurement tools that expect clean catalogue data. This differs by handling messy formats and linking directly to your spend.

Main delivery costs

Main delivery costs are LLM API usage for document parsing, data storage, and a human-in-the-loop reviewer for the first weeks of each client.

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.