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Retail & Supply Chain
Demand Forecasting System
Hybrid forecasting pipeline for high-cardinality SKU sets that reduces waste and stockouts while saving millions annually.
Forecast Accuracy Improvement
29
%
Inventory Waste Reduction
40
%
Annual Savings Usd
5000000
The Challenge
Retailers face 30% inventory waste and 25% stockouts, costing millions in lost revenue.
Our Solution
Multi-model forecasting pipeline combining ARIMA, XGBoost, and LSTM to forecast demand across 4,000+ SKUs with hierarchy-aware aggregation.
TECHNOLOGIES USED
PythonVertex AILSTMXGBoostBigQueryLookerCloud Functions
Ideal For
E-commerce
Retail chains
CPG companies
Visual Insights