AI case study

RetracedSupplier data management

Trading names and languages masked duplicate records. AI vectors now identify semantic matches to reveal the true list of bidders.

Published|8 months ago

Key results

Duplicate Reduction
80%

Result highlights

Unlock 1 result highlight

The story

Context

A supplier management platform for the fashion and textile industry that unifies sourcing, compliance, and collaboration across multitier global supply chains.

Challenge

Traditional search algorithms failed to detect duplicates caused by trading names versus official names or multi-language records. Retailers often...

Solution
Unlock full story

Quotes

Unlock 2 more quotes

Use case

Retraced's Supplier data management is part of this use case:

Enterprise Search
211 case studies(+15% YoY)
Proven impact?
3.4Moderate
LowModerateStrongVery Strong3.4
2.0Lowwithin Consumer Products
3.4Moderatewithin Product Engineering

The company

Retraced logo

Retraced

retraced.com

Supply chain transparency and compliance platform for fashion and textiles.

IndustryConsumer Products
LocationDüsseldorf, NW, Germany
Employees51-250
Founded2019

The vendor

Enterprise database software and cloud infrastructure services.

IndustrySoftware & Platforms
LocationAustin, TX, USA
Employees100K+
Founded1977

Similar Case Studies

Related implementations across industries and use cases

226 AI case studies in Enterprise Search

102 AI case studies in Consumer Products

1,313 AI case studies in Product Engineering