A leading company struggled with inefficiencies in its sales forecasting process, spending over 100 man-months annually on data retrieval and analysis. Inconsistent data led to inaccurate forecasts, impacting decision-making. To streamline this, the company deployed P.AI, a Natural Language Chatbot in Microsoft Teams, integrated with Copilot for improved data interaction. A multi-algorithm approach—Holt-Winters, Neural Networks, ETS, and ARIMA—was implemented for tailored forecasts. Rolling forecasts and trend analysis, with a focus on high-margin products, improved forecasting accuracy and sales performance. Explore how this solution revolutionized the sales forecasting process.