The Challenge
Buyers compared SKUs manually across catalogues, had limited visibility of which suppliers could serve a requirement, and missed better-value alternatives because nothing surfaced them. Purchase history arrived in incompatible formats needing manual consolidation, and vendors had no line of sight into buyer demand or inventory gaps.
Products matched across catalogues by hand.
History arriving in formats needing consolidation.
Better-value options never surfaced to buyers.
No visibility of demand or inventory gaps.
Approach & Solution
smartData built ingestion pipelines for purchasing APIs, vendor catalogues, spreadsheet uploads and business systems, normalising procurement data into a unified schema covering spend, units, categories and supplier trends. Canonical product mapping resolves identifiers, brand and title variations so the same item matches across vendors.
Buyers search vendor catalogues and compare historical purchases against available products side by side, with recommendations drawing on demand signals, pricing and match confidence. Vendors see buyer demand, sales trends, inventory gaps and positioning, and discontinued items route buyers to equivalents.
Key Features
Spend and categories unified across data sources.
The same item matched across every vendor.
Discontinued items routed to active equivalents.
Demand and inventory gaps visible to suppliers.
Product Showcase
Final Outcome
Buyers see their own spend normalised and comparable, better-value alternatives appear rather than needing to be hunted for, and vendors work from visible demand instead of guessing at what buyers need.
