Case Study: a leading consumer goods market achieves 42% forecast accuracy improvement with Indicio Technologies

How a leading retailer increased their market forecast accuracy by 42% and optimized data-driven decision making

The client, a leading consumer goods market, faced challenges with demand forecasting and resource allocation due to its reliance on a simple, bottom-up univariate model. This approach lacked the ability to incorporate external economic factors, leading to inaccurate forecasts and potential lost revenue. To address this, they partnered with Indicio Technologies.

Indicio Technologies implemented a sophisticated solution that involved identifying key leading indicators, such as consumer sentiment and crude oil prices, and building multivariate forecast models. By weighting over 50 econometric models into one optimal forecast, Indicio provided the client with a repeatable and accurate process. This resulted in a 42% improvement in forecast accuracy, giving the company greater visibility into market drivers and enabling optimized, data-driven decision-making.