Forecasting Seasonal Demand: Power BI Predictive Analytics for a Leading Gourmet Company in Spain

A leading gourmet company in Spain sought a data-driven approach to predict seasonal demand and optimize inventory management. However, the company faced significant data challenges, including scattered data in Odoo, connectivity issues, and communication barriers. I developed a Power BI predictive analytics solution that consolidated fragmented data, automated forecasts, and provided actionable insights—enabling the owner to make informed business decisions.

The gourmet industry experiences high seasonal fluctuations, requiring precise forecasting to avoid stockouts and overstocking. However, the client struggled with:

• Data Scattered Across Odoo: No centralized structure, making it difficult to extract insights.
• No Data Dictionary: Lack of clear definitions for key metrics, complicating analysis.
• Database Connectivity Issues: Limited integration with BI tools, affecting data access.
• Remote Database Administrator: Based in India, making coordination and troubleshooting complex.
• Language Barrier: The business owner was not fluent in English, requiring a visual, easy-to-use reporting solution.

To address these challenges, I designed a forecasting and analytics solution that:

• Extracted and structured data from Odoo for seamless analysis.
• Developed a Power BI dashboard with predictive insights for sales and inventory management.
• Implemented AI-driven forecasting models to enhance demand predictions.
• Ensured easy usability through a visually intuitive interface with multilingual support.

• Data Extraction & Integration: Developed custom Power Query (M Code) scripts to connect and structure Odoo data.
• Data Cleansing & Standardization: Addressed missing values and inconsistencies, ensuring accurate reporting.
• Predictive Modeling:
  • Applied DAX measures for sales trend analysis.
  • Integrated Python forecasting models (ARIMA, Prophet) for demand prediction.
  • Compared multiple forecasting scenarios for improved accuracy.
• User-Centric Dashboard Design: Created an intuitive, visually rich Power BI report with minimal text reliance, making it easier for the owner to interpret.

• Accurate Demand Forecasting: Improved stock planning, reducing inventory waste.
• Streamlined Data Management: Consolidated Odoo data into a single source of truth.
• Reduced Operational Bottlenecks: Automated reporting eliminated manual data extraction delays.
• Bridged Communication Gaps: Delivered a visual-first solution to overcome language barriers.
• Improved Business Decisions: Equipped the owner with real-time sales and inventory insights.