Tredence
97 Case Studies
A Tredence Case Study
The client, a leading operations and logistics planning solution company, faced challenges with an inaccurate forecasting system for its fulfillment centers, which required heavy manual intervention. They engaged Tredence to develop an automated, integrated solution for forecasting labor and transportation needs to improve planning.
Tredence developed a solution using machine learning algorithms to generate outbound forecasts and build a detailed carrier scheduler. This provided the client with reliable, weeks-ahead planning capabilities for labor and trailer scheduling. The results included aligning all business units on a single platform for the first time, enabling two types of forecasting models, and creating a flexible system that minimized fulfillment center downtime.
Leading Operations and Logistics Planning Solution Company