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Fresh produce AI

Pak-Bot: fresh produce AI inside Producepak

Ask Pak-Bot questions in plain English – "List the 10 oldest inventory items", "Sales by customer last month", "Which customers got the lot that failed QC?" – and get the answer from live Producepak data in seconds.

Free setup & training · Human support by named fresh produce consultants

Pak-Bot: fresh produce AI inside Producepak

99% fewer shipping errors

95% less produce waste with precise inventory control

90% lower administration costs

US$6,200 a year – all modules, 8 users, unlimited sites

What Pak-Bot does

TaskExampleCase study result
Order entryReads purchase orders from e-mail and creates orders8 → 2 h/day order entry
Reports and charts"Total sales last month by customer"14 → 3 h/week reporting
Stock questions"Total yellow potato in stock at site 2"Next day → under 1 minute
FIFO guardrailFlags a newer lot scanned while an older lot existsWrite-offs 3.5% → 1.6%
Traceability"Which customers got lot GRP-0917?"Mock recall 6 h → 15 min
LabelsBuilds a retailer label from its spec sheet2 days → under 1 hour
Pak-Bot chart: sales by retailer
Pak-Bot chart: sales by retailer

Ask Pak-Bot questions in plain English – "List the 10 oldest inventory items", "Sales by customer last month", "Which customers got the lot that failed QC?" – and get the answer from live Producepak data in seconds.

Slash admin time by 90% – watch now

Why built-in AI is different from ChatGPT

A general chatbot does not know your stock, customers or lots. Pak-Bot runs inside Producepak on live data with each user's permissions – a site supervisor only sees their own site – and can act: create an order, e-mail a report, flag a pallet.

Pak-Bot table: oldest stock
Pak-Bot table: oldest stock

Related

Questions

Is Pak-Bot an extra cost?

Pak-Bot is part of Producepak. Ask your consultant about the features available on your plan.

Is my data shared with other companies?

No. Pak-Bot answers from your Producepak data and respects user permissions.

Do staff need training?

Staff ask questions the way they would text a colleague; the case studies report no new system to learn.

Sources and further reading

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