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ADPI™️

AI-Driven Product Insights™️ (patent pending) (ADPI)

A patent-pending method for turning fragmented product data into one trustworthy, AI-ready source of truth.

ADPI: AI-Driven Product Insights — MAP, TAG, TRANSCRIBE method diagram
The challenge we solve

The same product data lives in multiple places — and it doesn't always match.

If your company uses separate systems for product design (PLM), master data (PIM), inventory and finance (ERP), your online store, and planning tools, you already know the problem. This slows teams down, creates costly errors, and makes it nearly impossible to trust AI tools built on top of that data.

PLM

Product design

PIM

Master data

ERP

Inventory & finance

Storefront

Online store

Planning

Planning tools

How ADPI works

Step 01

Map

We connect matching data across all of your systems into a single unified model, built specifically for retail, consumer goods, and consumer products companies. Nothing gets flattened or lost in the process. Every system's detail is preserved.

Step 02

Tag

Before any AI insight is generated, every data point is tagged with its source and the exact time it was last updated. This gives you a clear, auditable trail behind every piece of information, so you always know where an answer came from.

Step 03

Transcribe

The unified, verified data becomes plain-language insights your team can use immediately. No technical background required to read or act on it.

The output

Product Memory

The output of MAP, TAG, TRANSCRIBE is what we call Product Memory: a governed, always-current source of truth for your product data. It's built to be the foundation your business, and your AI tools, can rely on.

Always current

Product Memory

Verified
Who it's for

Retail, consumer products, and consumer goods companies running multiple disconnected systems for product data — and looking to adopt AI without inheriting the risk of bad underlying data.

Retail · Consumer products · Consumer goods