On April 9th, Blue BI and Riso Gallo successfully presented the “Sales Forecasting: from Human to AI” project at the Use Case Session event of the Big Data & Business Analytics Observatory. Camillo Di Iorio and Federico Dutto from Blue BI, together with Angela Di Pilato from Riso Gallo, illustrated how an Artificial Intelligence-based forecasting solution has transformed the analysis and forecasting of the rice company’s sales, leading to greater efficiency and accuracy in decision-making processes.
Riso Gallo's need and the Forecasting Solution
During the presentation, a crucial challenge for Riso Gallo was highlighted: improving the accuracy of sales forecasts and optimizing commercial strategies in a dynamic market influenced by numerous external factors.
The solution developed by Blue BI, based on Amazon Web Services (AWS) technology, has led to significant results:
- Accurate forecasts: creation of detailed forecasts for each product-customer combination, across all lines and with a 3-month time horizon
- Greater precision: significant increase in the accuracy of forecasting estimates
- Cost optimization: reduction of stock-related costs thanks to more targeted and efficient planning.
The collaboration between Blue BI and Riso Gallo represents a concrete example of how AI can be successfully applied in the business sector to improve performance and address market challenges.
Below you can watch the video of our presentation during the Use Case Session of the Big Data & Business Analytics Observatory.
