Industries / Agritech and food supply

Move more product with less paperwork in between.

Food and agri supply chains run on orders by email, certificates, specs, lot records and claims. Most of it is checking one document against another under time pressure, because product is perishable. We look for the workflows where agents can do that checking, and people keep food safety and quality decisions.

Where the coordination tax sits

Six workflows where documents slow the product down.

These are the workflows we would examine first in a food producer, a fresh produce wholesaler, an ingredients supplier or an agritech platform. They run through the ERP, EDI, supplier portals, email and many PDFs.

WorkflowManual todayAI-native versionStays humanVerification check
Customer order intakeSales staff key orders from emails, PDFs and phone notes into the ERP, then confirm by email.An agent reads each order, maps products and units to your catalog, checks stock and price, and prepares the ERP order.Substitutions, short deliveries, price exceptions and new customers.Product, unit and price must match the customer's agreement. Quantities outside normal range go to a person.
Supplier certificates and specsQuality staff collect certificates and spec sheets, then track expiries and check scope in spreadsheets.An agent collects documents, checks scope, site and expiry against your requirements, and chases renewals.Supplier approval, judging any gap and every food safety concern.No purchase order to a supplier without a valid certificate on file. Expiry warnings well before the date.
Lot traceability and recall readinessStaff trace lots across goods-in, production and dispatch records by hand when a customer or auditor asks.An agent links lot records across systems and produces a one-up, one-down trace on request.Recall decisions, withdrawal decisions and all contact with authorities.Every dispatched lot traces back to goods-in records. Gaps are flagged, never filled in.
Quality claims and credit notesCustomers email photos of damaged or out-of-spec product. Staff check delivery records and raise credits.An agent assembles each claim with the delivery, temperature and lot data and proposes a resolution.Accepting or rejecting claims above a value limit and any food safety claim.Credit can't exceed the invoiced line. One credit per claim ID.
Delivery documents and proofsDrivers' notes, delivery notes and temperature logs are matched to invoices by hand.An agent matches delivery documents to orders and invoices and flags discrepancies.Disputes with customers or hauliers.Delivered quantity and invoiced quantity must match, or the invoice is held.
Grower and supplier settlementsStaff calculate settlements from weighbridge tickets, grading results and price agreements in spreadsheets.An agent prepares settlement statements from the source records and agreed price rules.Grading disputes, price agreements and payment approval.Settlement lines trace to tickets and grading records. Totals reconcile to goods received.
What we measure

Six numbers that show whether it worked.

The Audit measures these before anything is built. The Pilot is measured against the same numbers.

MetricDefinition
Minutes per order lineStaff time from order received to order confirmed in the ERP, per line.
Order error rateOrders with a wrong product, unit, quantity or price, per 1,000 orders.
Order cut-off hit rateShare of orders entered before the picking or production cut-off.
Certificate coverageShare of active suppliers with valid, in-scope certificates on file.
Trace timeMinutes to produce a complete one-up, one-down trace for a lot.
Claim cycle timeDays from customer claim to credit, rejection or replacement.
Failure modes we design against

What can go wrong in food supply, and the control for each.

Food safety decisions, product release and recalls stay with qualified people. Agents prepare records and flag gaps. They never sign off safety or quality.

Failure modeControlHow we'd detect it
Wrong product or quantity shippedMapping to the customer's agreed products and units. Unusual quantities need a person.Daily comparison of orders against customer history, and tracking of delivery disputes.
Buying from a supplier without valid certificationA missing or expired certificate blocks the purchase order.Weekly report of active suppliers against certificate status.
Incomplete trace in a recallTraces show gaps instead of guessing. Gaps go to quality staff.Mock recall exercises with timed traces.
Food safety signal missed in a claimClaims that mention illness, foreign bodies or allergens always go to a person immediately.Keyword and category review of all closed claims.
Wrong credit or settlementCredits capped at the invoiced line. Settlements built only from source tickets and agreed rules.Reconciliation of credits and settlements against goods records.
Customer told something untrueConfirmations drawn from the ERP order. Delivery dates and substitutions use fixed templates.QA sample of order confirmations.
Worked example

Customer order intake, from diagnostic to pilot.

Illustrative example — not a client result. The numbers below are assumptions chosen to show the method and the arithmetic. Your Audit replaces them with measured values.

01Diagnostic

Suppose a fresh produce wholesaler picks "customer order intake" on the General track. The Snapshot might show a High leverage signal with Medium confidence, friction at the Input and Processing stages, and Level 2 (workflow augmentation) as the indicated AI depth.

02Audit

Suppose the Audit measures 4,000 orders a month at 4 minutes each to read, key and confirm. That is 4,000 × 4 = 16,000 minutes, or about 266.7 hours a month, about 1.7 FTE at 160 hours. It also finds that about 25% of orders have an unknown product name, an odd quantity or a price question.

03Pilot

Suppose the 75% clean orders go straight into the ERP, with a person checking a 5% sample for 3 minutes each. The 25% exceptions take 7 minutes each because they are the harder cases. The Pilot measures whether that holds.

LineAssumptionHours per month
Baseline4,000 orders × 4 min266.7
Clean, after3,000 orders, 150 sampled × 3 min7.5
Exceptions, after1,000 orders × 7 min116.7
After, total7.5 + 116.7124.2
Difference266.7 − 124.2 (about 0.9 FTE)142.5

At an assumed loaded cost of €36 an hour, 142.5 hours is about €5,130 a month. For perishable product, time matters as much as hours: the Audit would also measure the cut-off hit rate and order errors, because a late or wrong order can mean waste. It would also count the new costs: compute, the ERP integration and exception review. If the numbers don't hold, the recommendation is "don't proceed".

Evidence

Where our proof comes from.

We'll be plain about this. Our production proof is in AdTech, not agritech or food. We have not yet run these food supply workflows for a client.

The architecture is the same one that runs in AdTech production: typed intake, deterministic checks before any action touches orders, money or customers, bounded retries, then a person. The case studies describe that work, and four of our AI plugins run live on reviveadservermod.com. Partner reconciliation in AdTech is a close cousin of matching deliveries, invoices and settlements.

That is why food and agri engagements start with the free diagnostic and the Audit. The Audit measures your own baseline and records what must never be automated, so any decision rests on your numbers, not on ours.

FAQ

Questions food and agri operators ask first.

Will an agent make food safety or recall decisions?

No. Product release, food safety decisions, recalls and contact with authorities stay with your qualified people. Agents prepare traces, records and claim packs, and flag gaps for a person.

Our customers order by email, phone and WhatsApp. Can that work?

Written orders in any format can be read and mapped. Phone orders still need a person, or a written note the agent can read. The Audit records how orders actually arrive and which channels are worth including.

Do we need to change our ERP?

No. We work with the systems you have, through their APIs, EDI or imports. The Audit records which systems hold the data and where it is re-keyed.

Next step

Find out which supply workflow is worth redesigning.

Start with the free diagnostic on the Other / General Business track. Move to the Audit only if the Snapshot points to something worth measuring.

01Free AI Operational Diagnostic

10 steps, 8–12 minutes, General track. Snapshot on screen and as a PDF.

02Operational Leverage Audit, from $1,500

Fixed fee, one workflow, 10–15 working days after data access. Measured baseline, benefit model with stated assumptions, go / no-go.

03Pilot implementation, from $6,000

Fixed scope. The workflow built and run in your environment, measured against the Audit baseline. Typically 4–8 weeks.