- Solutions
- CPG
- Reconciles
- TPM · ERP · POS
- In
- Minutes, not weeks
Trade promotion ROI you can defend in the room.
aidnn turns fragmented TPM, ERP and POS data into verified CPG analytics in minutes, not weeks.
- 01Readaidnn pulls the same record from each of your systems.
- 02CompareIt lines them up on one key and finds any source that disagrees.
- 03FlagA mismatch goes to review with the odd record marked. Nothing is averaged away.
- 04JoinRecords that agree become one verified record.
What cpg teams use aidnn for
Gross margin analysis
Explain gross margin changes by reconciling pricing, ERP and logistics data.
Trade promotion ROI
Measure incremental lift by reconciling promotional, shipment and syndicated retail data.
See it on your data →02Deductions and trade claims
Identify deductions and trade claims by reconciling retailer POS, shipment and distribution data.
See it on your data →03Joint business planning
Build retailer scorecards from sales, inventory and performance data.
See it on your data →Reads the data you have
Start with the systems you already run.
Connect a warehouse, an ERP export or a spreadsheet. aidnn reconciles as it analyzes, so cleanup isn't a prerequisite.
Questions
What cpg teams ask us.
Do we need to clean our data first?
No. aidnn works with data as it exists, including exports with broken headers and inconsistent definitions.
How does aidnn verify its answers?
A separate critic agent reviews every plan, query and result, with veto authority over logic, math and code. Verification runs inline and again afterward, and every step is logged so results can be reproduced.
How much does aidnn cost?
Pricing is custom. aidnn is sold as an enterprise product through our sales team, with no public price list or self-serve tier.
Security
Your data stays yours.
aidnn sits on top of your systems. It doesn't take the data away from them.
Never trains on your data.
You delete it, we forget it.
Isolated, encrypted, and able to run where your data lives.
Next step
Ready to put aidnn to work?
Free, structured proofs of concept: bring your messiest syndicated or shipment dataset.


