Your ERP says one thing. Your website says another. Your warehouse team walks the shelves because the system count hasn't been right in months. That's not a data quality issue. That's your operation running on workarounds.
We fix the data. Then we keep it fixed.
The reality
The ERP has one description. The website has another. The sales team quotes from a spreadsheet they maintain themselves. When a customer asks about a product, whoever answers gives a different answer depending on which system they check.
One-time cleanups solve the problem on Tuesday. By Friday, someone's created a duplicate. By next quarter, the same exceptions are back. Without governance built into the workflow, cleanup is just a reset button nobody presses often enough.
When people maintain their own version of the data, in spreadsheets, in emails, in their heads, that's not a training problem. That's the system telling you the master data isn't reliable. Every workaround is a place where errors compound silently.
What we build
We don't hand you a data dictionary. We build the architecture, clean the data, and put systems in place so it stays clean without someone babysitting it.
We map your systems, your data flows, and your business rules. Including the ones nobody documented. Then we define the target architecture: what's the master, what syncs where, what validates what. Before we clean a single record.
Duplicate detection, standardization, enrichment. Not a one-time project. A system that validates, corrects, and flags exceptions as they happen. Applied across your catalog, your ERP, and every channel you sell through.
Governance rules built into the workflow. Automated audits. Anomaly alerts. The reason your data stays clean isn't because someone remembered. It's because the system won't let it get dirty.
What it looks like
We standardize and enrich your product data so you and your customers have usable, truthful information. The garbage gets eliminated. What's left is structured, governed, and ready to use.
We build data schemas and define how every field gets used
AI models validate, complete, and standardize product content across your entire catalog
We eliminate the duplicates, the orphans, and the garbage that's been accumulating in your ERP for years
We automate data audits and cleanup so your schema rules enforce themselves
What enrichment looks like
Give your team the data and product information they need to close deals and serve customers. Help buyers find your products, compare them, and make a decision.
Product segmentation and classification across your entire catalog
On-demand content generation for descriptions, marketing copy, and technical specs
Automated variant detection and grouping
Competitive pricing intelligence
Synchronized across every channel you sell through
MILWAUKEE
Part #: 2904-20
Description
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Marketing description:
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TECHNICAL SPECS
SPECIFICATIONS
What it looks like running
Once we clean and structure your data, we build the monitoring that keeps it that way. Automated audits, anomaly detection, and governance enforcement. Running continuously without anyone watching.
How we work
We start with your actual data. Not a sample. The messy stuff. The duplicates, the edge cases, the records that have been wrong for two years and nobody's fixed because nobody knows which system is the source of truth.
Then we design the architecture, build the governance rules, clean the data, and connect it across your systems. And we stay accountable after it's running.
Same team.
Architecture to production.
Your business. At the speed you planned for.