The company relied on manual, error-prone forecasting processes with limited SKU-level visibility. Long planning cycles, frequent stock-outs, excess inventory, and poor root-cause tracking led to unstable service levels and high working capital lock-in.
Translytics deployed its AI-Powered Demand Modeling Platform, leveraging historical data cleansing, seasonal trend detection, promotional impact analysis, and real-time market signals. This enabled more accurate forecasting, reduced stock-outs, and streamlined planning cycles.
Capability increasing forecast precision.
Capability increasing forecast precision.
Capability increasing forecast precision.
Capability increasing forecast precision.
"With Translytics, we gained sharper visibility into demand drivers. Our forecasts are more accurate, stock-outs are lower, and planning is faster than ever."