How load scheduling cut order-to-delivery TAT by 60% for a global FMCG major
The customer has large mother hubs and multiple depots spread throughout India. They do more than 200 primary inbound, primary outbound and secondary outbound movements per day from one of their mother hubs. However, the company has been struggling with reducing end-to-end TAT for all deliveries.
60%
Reduction in end-to-end TAT
47%
Increase in SLA compliance
Products used
Dispatch Planning, Indent Management
Industry
FMCG
What's in this case study?
A global FMCG manufacturer running high daily volumes from a single mother hub could not bring down end-to-end TAT or see where the inefficiencies sat. Freight Tiger built a machine learning model drawing on indent, visibility and ERP data to expose the bottlenecks, then defined arrival, loading and departure SLAs around the most reliable departure windows, optimising loading time to 4 to 5 hours. The result was a 60% reduction in end-to-end TAT, a 47% increase in SLA compliance and ₹3L+ in monthly freight cost savings.
