Data management system that is inefficient.
With its old system, a global non-asset ‘third-party logistics’ firm in Dallas, Texas, was having the following issues.
Data management system that is inefficient.
Inaccuracy in demand and supply estimation.
Shipper price is subpar owing to a lack of extensive data analytics.
Infrastructure costs and load booking times are increasing.
We used Advanced Business Analytics driven by Machine Learning to boost business insights, which helped the Transport Management System run more efficiently (TMS).
We used bid analytics to provide intelligent recommendations for shipper pricing and carrier costs based on size, capacity, and structure, which resulted in higher operating margins.
Revenue increased by 20%.
The usage of analytics has increased fourfold.
Data-driven decision-making has increased by 200%.
Load booking time has been reduced by 60%.