Business Problem
A CPG giant organizationfaced poor daily and weekly forecast accuracy for transport lanes and freightorders. This led to frequent spot buying, inefficient truck requisitioning, andincreased risk of service disruption and lost sales.
Actions Taken
· Built univariate LSTM-based forecastingmodels for transport lanes and freight flows.
· Prioritized countries, plants, and routeswith the highest improvement potential.
· Integrated forecasts into operationalplanning for truck requisition and shipment scheduling.
Outcomes Achieved
· Double digit improvement in daily and weeklyforecast accuracy for transport operations.
· Reduced reliance on spot buys.
· Improved resource allocation and logisticscost control. KPI
· Increased reliability and resilience of thesupply chain.
