Case studies

Demand Forecasting to Improve Service Delivery

Combined forecasts from different algorithms were done to improve demand forecasting accuracy for a leading home appliances and repair services provider. Demand forecasting accuracy went up to 92% from 65%, reducing lead time by 20%. A 4% increase in First Time Completes resulted in incremental revenue of $5 million per annum due to reduced cancellations.

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