Linkedin
Case Study A Simple Low-Code App Gives Visibility Into In-Transit Cash Flow Saving Millions for This Retail Chain

Download Case Study

By submitting this form, I agree to Data Semantics's Privacy Policy

The Situation

One of the world’s largest chain of ice cream speciality brands was looking to undertake a review of their long-standing arrangement for in-transit cash to identify if better visibility and transparency could be achieved in their otherwise opaque management.

What Data Semantics Implemented?

The outcome was enhanced visibility over in-transit cash and its subsequent movement with real-time alerts. With more than 90% visibility of in-transit cash, 2-3 million USD of cash transaction is monitored by the app on a monthly basis and saved of 162-man days of effort per year.

Icon United States of America

United States of America

info@datasemantics.co

Icon United Kingdom

United Kingdom

info@datasemantics.co

Skip to content