Case Study: a large data supplier company reduces indirect spend by 9% with Tredence

Large Data Supplier Company - Customer Case Study

The large data supplier company, a firm with a global business spread, faced a challenge with its supplier data being fragmented across multiple systems. This prevented a consolidated view of their supplier base and spend, making it difficult to identify cost-saving opportunities. They partnered with Tredence, which used its Sancus solution to cleanse and consolidate this disparate supplier data.

Tredence implemented a solution that extracted spend data from invoices using Intelligent Character Recognition and matched it to the cleansed supplier master. By analyzing this data with AI/ML techniques, they identified price variances and anomalies. As a result, the large data supplier company gained actionable insights that enabled them to reduce their indirect spend by 9% in the first quarter.