Sigmoid
66 Case Studies
A Sigmoid Case Study
The customer, a leading alcoholic beverages company, sought to improve category growth and inventory management by accurately forecasting global demand for distilled spirits. Their traditional methods failed to incorporate key external factors like weather and macroeconomic parameters. They engaged Sigmoid to implement a customized demand forecasting solution to address this challenge.
Sigmoid built an advanced ML-driven demand forecasting model that incorporated over 10 market disruption indicators and macroeconomic parameters. The solution provided accurate forecasts for over 10,000 market combinations across three different scenarios. This resulted in an 80% faster time to insights and achieved 92% forecast accuracy, enabling the client to enhance planning and capitalize on new market trends.