Enhancing Sales Forecasting with P. AI A Natural Language Chatbot & Data Science

Problem Statement

A leading company faced challenges with its sales forecasting team spending 100+ man months per year with a team of 60+ members on data retrieval and manual analysis.

The team was often bogged down by inconsistent data across various products, leading to suboptimal forecasting accuracy.

The company needed a solution to streamline the forecasting process, allowing the team to focus on strategic decision-making rather than data fetching and processing.

Solution Implemented

• PAI Chatbot deployed in Microsoft Teams for data visualization.
• Integrated with Copilot for enhanced data interaction.
• Multi-algorithm approach: Holt-Winters, Neural Networks, ETS, ARIMA.
• Customized forecasting models based on product category performance.
• Rolling forecasts and comparative trend analysis for the sales team.
• Focused sales strategy on high-margin products, improving performance.