When someone asks you to prove it, the batch history shouldn't live in six places.
You run a food business where every lot has a supplier behind it, a certificate attached to it, and a harvest or production window that won't wait. The records almost always exist. Pulling them into one answer the day a customer or an auditor asks is what eats the afternoon.
Supplier records, batches, QA, certifications, shipments, and customer requests
Month-to-month implementation, cancel anytime
Operations, supply chain, quality, commercial, or leadership teams
Where the work jams
Someone asks for proof, and the clock starts
A customer or an auditor wants the full history on one batch: which supplier, which QA check, which certificate, which shipment. Each of those lives in a different system, so someone spends the afternoon stitching records together by hand while the request waits.
The plan depends on reports that don't line up
Demand sits in one report, inventory in another, and what's actually in production in a third. To decide what to make or buy this week, someone reconciles all three by hand, and the numbers are already a few days old by the time the meeting starts.
Exceptions get worked out in inboxes
A non-conformance, a cold-chain alert, a missing document, a delivery that changed at the last minute. Each one becomes an email thread, and the only record of how it was resolved is whoever happened to be copied.
So the instinct is to buy a traceability tool. That is usually the wrong first move, because the records were never the problem. The problem is that they never meet in one place.
What one month changes
Batch traceability
Today, proving a batch's history means opening the supplier record, the QA file, the certificate folder, and the shipment log, then assembling them into something you can send. Every request starts from scratch.
After a month, one batch view links its supplier, its checks, its certificates, and where it went, and it flags what's missing before a customer does. The trace report you get asked for builds from that view instead of from four open tabs.
Demand and inventory
Today, deciding what to produce, hold, or discount means pulling orders, stock, and shelf-life into a spreadsheet every week and hoping nothing moved since you exported it.
After a month, one weekly view shows what to make, allocate, replenish, or escalate, with the short-shelf-life and at-risk orders already flagged. The Monday planning call starts from it instead of from a fresh reconciliation.
Supplier compliance
Today, knowing which suppliers are approved means checking certificates and audit documents one at a time, and you usually find the expired one when a delivery is already at the door.
After a month, one supplier view shows who is approved, whose documents have a gap, and what expires next, so a renewal is a task with an owner instead of a surprise at receiving.
How a month actually goes
Map it
We follow one workflow, like batch traceability or supplier compliance, from where the data starts to where your team reworks it by hand.
Decide who checks what
We agree the source of truth for each record, what counts as evidence, and who signs off before anything goes to a customer or an auditor.
Build the tools your team opens daily
We ship the views and connections that bring supplier, batch, quality, and demand data together, without breaking the trail back to the source document.
Tune it with the people who use it
We run it through real volume with your planning, quality, and supply teams, fix what they hit, then move to the next workflow.
Where AI helps, and where it doesn't
AI does the reading and the first draft. It pulls the numbers off a certificate or a COA, sorts exceptions like a cold-chain alert or a missing document, and drafts the customer or audit response so nobody starts from a blank page. It does not sign off on food safety or compliance. Those calls stay with the people accountable for them, and every figure it extracts keeps its link back to the source document.
Guides for the workflows we fix most
If you want to see how we think before you talk to us, each guide walks through one of these workflows the way we'd actually approach it.
Project Ardent, a food import and distribution business, turned its monthly import orders data into a model that made the buy-local, import, or wait call clearer every cycle.
Read the Project Ardent storyHow to Build Production and Harvest Planning Workflows That Can Handle Real-World Changes
How to Improve Inventory and Batch Visibility Across Production, Warehouse, and Sales
How to Build Quality and Compliance Workflows That Stay Audit-Ready Without Slowing Operations
How to Build Supplier and Procurement Workflows That Stop Chasing Documents
How to Build Demand, Sales, and Allocation Planning Workflows for Perishable Products
How to Build Traceability and Sustainability Reporting Workflows That Stand Up to Customer Questions
What we connect, and what stays with your team
We work with the systems you already run: ERP, MRP, and finance; inventory, warehouse, and cold-chain tools; QA, lab, and audit records; supplier and purchase-order systems; and the traceability or sustainability platforms your customers ask about. Nothing gets ripped out and replaced.
Food safety, quality, and compliance decisions stay with the people accountable for them. Our job is to make sure the evidence behind each one is linked, current, and easy to produce when someone asks.
It is one workflow at a time, month to month, starting from $4,000/month, cancel anytime. We pick the workflow with your team, ship something usable, and only keep going if it earns its place.
Common questions
What food and agriculture workflows should we start with?+
We start where the work is most manual and a mistake is most expensive. For most teams that is batch traceability, supplier compliance, or the weekly demand-and-inventory call, and we pick the first one with you.
What happens the day a customer or auditor asks for a batch's full history?+
You pull it up instead of spending the afternoon assembling it. One batch view links the supplier, the QA checks, the certificate, and where the lot shipped, and it flags anything missing before the request lands. The records almost always exist already; we bring them into one answer you can send.
Where does AI actually help in a food business?+
On pulling facts off documents and writing the first draft. It reads the numbers off a certificate or a COA, sorts exceptions like a cold-chain alert or a missing document, and drafts the customer or audit response so nobody starts from a blank page. Food safety and compliance sign-offs stay with the people accountable for them, and every figure it pulls keeps its link back to the source document.
Tell us the workflow your team keeps rebuilding by hand
If planning, traceability, quality, or supplier work still runs on disconnected sheets, tell us which one. We'll pick the first workflow to wire together and reply within one business day.
Rather score the workflow yourself first? Run the workflow calculator.