The same part, a different price at every plant.
Your sites buy the same item from different suppliers at different prices, and your ERP only stores the amount. Glidely normalizes spend across every plant, so you finally see one part, one supplier, one price, everywhere.
| Plant | Supplier | Unit price |
|---|---|---|
| Plant A · OH | Distributor X | $4.80 |
| Plant B · IN | Distributor Y | $5.40 |
| Plant C · MX | Distributor X | $4.20 |
| One normalized view | 3 prices, 1 part | ▲ 29% gap |
Your ERP knows the amount. Not the part.
Spend is captured per site, with inconsistent part numbers and taxonomies. So the same bearing looks like three unrelated purchases, and no one can see the gap.
Ten years of messy spend, normalized in weeks.
Export your spend. Glidely's AI does the part-number and supplier cleansing your team never had time for.
Export
CSV or Excel from SAP, Oracle, or JD-class ERPs. No integration to start.
Normalize
AI matches part numbers and suppliers across every site, even with zero master data.
See
One cross-site view: who buys what, from whom, at what price.
Act
Surface the price gaps, consolidate suppliers, and bid the outliers down.
This view is your single source of truth. It is built before anything becomes a PO, and it grows with every event.
What teams ask first.
Do we need to integrate our ERP?
No. Export your spend as CSV or Excel. There is no write-back and no IT project to start.
Our part data is a mess, or barely exists. Does that break it?
That is the normal case. Glidely's AI cleanses and matches part numbers across sites, including where there is little or no master data.
How long does it take?
Weeks, not the months a manual data project would take. The normalization is AI-driven.
What do we do with the view?
It powers the rest: consolidate to fewer suppliers, run bids on the outliers, and keep a record of it all.
See your own spend, normalized.
Send us a spend export. We'll show you the same part bought at different prices across your sites.
Book a demo