Forecasting Sales for Business Decisions

Client's challenge

• Unilever Belgium faced a daunting task: accurately predicting sales for over 100 products across 14 categories, with forecasts needed for both daily and monthly intervals.
• Existing processes struggled with poor data quality, including missing values and insufficient historical data, making reliable predictions nearly impossible.
• The manual effort required was overwhelming, leading to inefficiencies and potential revenue loss.

Our Solution

• We revolutionized Unilever's sales forecasting with an advanced AI-driven solution.
• Cleaned and enriched data, addressing gaps and skewed distributions to ensure robust model inputs.
• Engineered sophisticated features leveraging historical sales data and seasonality trends, drastically enhancing model precision.
• Developed custom models for each product category, capturing unique consumer behaviors and market dynamics.
• Integrated our solution with Power BI, providing an intuitive interface for real-time, actionable insights accessible to all Unilever employees.

Business Impact

• Automated and streamlined sales forecasting, drastically reducing manual effort and boosting efficiency.
• Delivered highly accurate predictions, empowering Unilever to optimize workforce management, cash flow, resource allocation, and marketing strategies.
• Enabled proactive decision-making with real-time insights, driving significant improvements in strategic planning and customer satisfaction.