Sector · Food & Fresh Produce
AI software for food and fresh produce
Bonsai builds AI software for food, fresh produce and fresh-food production. In fresh supply chains with thin margins and strict requirements, we automate the paperwork (packing lists, orders, quality data) and keep batch traceability watertight, connected to your existing ERP and quality software.
What's at play in food & fresh produce
In food and fresh produce, you sell today what comes in today; a day too late is waste. The margins are thin, the volumes large, and the requirements (HACCP, BRCGS, traceability) leave no room for mistakes. Yet a large share of orders and packing lists still arrives as PDF, email or scan, in dozens of supplier formats, and gets typed in by hand.
Peak seasons make it sharper: just when the work spikes, you can't simply add people, and seasonal workers are getting harder to find. Software that takes the paperwork off your plate and scales with you gives your team room to breathe, with quality and traceability holding up.
The chain also keeps asking for more data back. Retail wants EDI messages (DESADV) and watertight batch information; customers and certifiers ask for origin and quality data per batch. That information already exists in your operation, just scattered across documents, inspection reports and systems; the work is in pulling it together.
Systems we know and connect to
Where it pinches
Re-keying packing lists and orders
Every supplier has its own packing-list layout. Your people type them into the ERP all day: repetitive, error-prone and hard to scale.
Traceability under time pressure
One-step-back, one-step-forward has to be ready inside four hours, yet the batch data is scattered across systems and documents.
Quality data is disconnected
QC inspections live on paper, on a tablet or in Excel, and they're hard to tie back to purchasing, the customer and the history.
Seasonal peaks
During the season the team is already flat out and has no slack to absorb the peaks.
Where AI does help, and where it doesn't
What we build for this
Document AI for packing lists and orders
Incoming PDFs and scans are read whatever their format and entered as order lines in the ERP, with a human in the loop for the doubtful cases.
Three-way matching
Packing list, order and receipt (and the invoice) are compared automatically, and any discrepancy is flagged.
Structure quality data
QC reports are opened up, defects are classified, and the results feed back to grower and customer.
Traceability and recall assistance
A batch query is pulled together fast from scattered sources, ready for the four-hour requirement in a recall.
Where AI is not the answer
- Your ERP and quality software (I-Fresh, Freshng, QC4U) stay in place; we take away the manual work around them.
- AI can't forecast fresh demand to the unit; weather and supply shocks make fresh inherently unpredictable. It narrows the error rather than promising certainty.
- Physical inspection stays a craft; AI backs the inspector up rather than standing in for them.
What we deploy for this
Dottle
Document AI for packing lists, orders and inspection reports across dozens of supplier formats, priced per document.
View DottleBonsai AI Workers
Digital colleagues that enter order lines, run three-way matching and pull batch data together for traceability.
View Bonsai AI WorkersBonsai AI Digital Twin
A single system for trade, logistics and quality that your food ERP and quality software connect into.
View Bonsai AI Digital TwinYou can read how we approach it, from discovery through to an SLA, in how we work.
Questions about AI in food & fresh produce
Can the AI handle different supplier formats?+
Yes. The AI reads the content in context rather than off a fixed template, so dozens of different packing-list layouts are no problem.
Does Bonsai connect to our quality software?+
Yes, with QC4U for example. Validated data goes straight through for inspection and invoicing, with nothing to type over.
What changes in food safety in 2026?+
From 1 July 2026, stricter microbiological requirements apply to ready-to-eat products (Listeria among them), and allergen labelling changes. Both need watertight, searchable batch and product data, which is exactly what automation gives you.
How much manual work disappears?+
In practice the manual work drops sharply, and the process scales with the seasonal peaks. We work the business case through with you up front.
Does this work with I-Fresh, Freshng or Foodware 365?+
Yes. We connect to your existing food ERP and quality software rather than replacing them. Validated data goes straight through as order lines or batch information.
Does the pipeline hold up in high season?+
Especially then. An automated pipeline runs ten or ten thousand documents a day through the same infrastructure, leaving the team to handle only the exceptions. That's where it pulls away from manual work, which seizes up at the peak.
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