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.
Helping a SaaS Company Leverage Advanced Analytics Through Our Consulting Approach
In today’s digital age, businesses struggle to make sense of mountains of data around them. In a similarly challenging situatio…
