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.

CPG: how aidnn reconcilesYour systemsaidnnDecisions
Tap to run the next keyTPM × ERP × POS · ready
  1. 01Readaidnn pulls the same record from each of your systems.
  2. 02CompareIt lines them up on one key and finds any source that disagrees.
  3. 03FlagA mismatch goes to review with the odd record marked. Nothing is averaged away.
  4. 04JoinRecords that agree become one verified record.
50M+POS and shipment records in a single dataset
95%+Accuracy target for consumption-to-shipment reconciliation
5×Faster on multi-source, multi-step workflows
0Data engineers needed to get answers

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.

TPM data
Syndicated retail data
TPM data
Syndicated retail data
ERP
ERP
Retailer POS
Retailer POS

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.

No training

Never trains on your data.

Deletion

You delete it, we forget it.

Isolation

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.