Workflows
Inventory discrepancy resolution: what the records show and why AI teams value them
Short answer
Inventory discrepancy resolution leaves a trail in ERP and warehouse systems: each step, decision and result. AI companies building agents value these records because they show how real work gets done from start to finish. With personal and confidential details removed and your approval, they can be licensed.
How the work usually happens#
- A count doesn't match records
- Staff investigate
- The cause is found
- Records are adjusted
Records it leaves behind#
- Discrepancy reports
- Investigation notes
- Adjustments
Removed before anything is shared#
- Supplier pricing
- Names, emails and phone numbers
- Account and payment numbers
Why AI teams value it#
- Shows the full path from request to result, not just the final answer
- Captures judgment calls and handoffs between people
- Years of history show many variations of the same task