Fresh produce AI that answers in seconds
Pak-Bot is the AI assistant built into Producepak for fruit and vegetable packers, wholesalers and food service. Ask a question in plain words and get the report, chart, label or order back, straight from your live inventory, sales, quality and shipping data.
Your data stays on Producepak servers. Only the question you type is sent to the language model.
| Customer | Total sales | |
|---|---|---|
| Walmart | $317,797 | |
| Loblaws | $27,215 | |
| Woolworths | $17,963 | |
| Tesco | $14,623 | |
| Costa Rica Fruit Co | $7,834 |
Sample data from a Producepak demo database.
One assistant for the office, the cool room and the packing line
Most AI tools for agriculture sit outside your systems and wait for a data upload. Pak-Bot lives inside Producepak, so a pallet scanned at the dock is in its answers the moment it is scanned.
Reports nobody has built yet
Ask for sales by state last month, Woolworths baby spinach sales this year or the weight of totes in stock. Pak-Bot writes the report and charts it. AI reporting
Less typing in the office
Pak-Bot reads a Gmail inbox and enters new orders, takes pasted or dropped purchase orders, and designs case labels, invoices and BOLs from a customer spec. Admin automation
A supervisor on the floor
FIFO guardrails flag a new lot being packed or shipped while an older lot waits in the cooler. Predictive waste warnings come before the fruit expires, not after. AI for fruit packing
Quality linked to every pallet
Ask which customers received the fruit that failed QC this morning, or for the inspection photos of every pallet on truck 4. AI quality and traceability
Trend and anomaly detection
Spot shrinkage, unusual batch waste, supplier quality drift and changes in customer ordering before they cost money.
Answers people are allowed to see
Pak-Bot knows which employees can see sales figures and which sites they work at, and filters every answer accordingly.
If your team can send a text, they can use Pak-Bot
Dashboards built for head office tend to go unused on a noisy warehouse floor. Pak-Bot takes typed or spoken questions on any phone, tablet or PC, and answers in tables, charts or a single line.
Here are questions Producepak users ask every day:
- Total sales last month
- Sales by state last month
- Total yellow potato in stock
- Weight of totes in stock
- Totals of inventory owned by ACE Farming Group
- Total of inventory at site Closters
- Walmart orders vs sales Q1 2026
- Red onion in poly bags
Producepak AI in a seven-site packhouse group
An anonymised grower-packer of about 36 high-care crops, including asparagus, baby spinach, herbs and rocket, rolled out Producepak AI quality inspection across seven packhouses. Inspection data now feeds Pak-Bot and the quality dashboard, so the team can relate harvest temperature to quality and predict quality before leafy product arrives.
| Measure | Result |
|---|---|
| Inspection time per sample | 14.5 min to 4.35 min (−70%) by month 4 |
| AI accuracy | 81% at pilot to 99.8% at month 6 |
| Manual corrections at month 6 | Under 0.1% |
Source: Producepak QI case study, January 2026.
I can email and print documents and labels, and build an ad hoc report at any time. I answer questions about inventory, sales, orders, employees, suppliers and customers, quality control and yield.
Built only for fresh produce
Pak-Bot is the first AI chatbot developed for fresh produce packers, wholesalers and food service companies. It understands pallets, batches, pack-outs, grower payments, RPCs and totes, because the Producepak data it works on is organised that way.
It runs wherever Producepak runs: in the browser, as an installed app on Android and Windows, from data centres in New York and Sydney, or on your own server.
See Pak-Bot answer questions about your own produce
A Producepak consultant sets Pak-Bot up on your inventory, orders, quality and shipping data. Implementation typically takes one to three weeks, depending on how complex your business is.