About

This end-to-end time-series forecasting workflow analyzes 5 years of Ecuador grocery store sales data, builds a seasonal OLS model with calendar/promotional drivers, and generates a 16-day forward forecast with supporting business intelligence. The pipeline flows from raw data aggregation through exploratory analysis (seasonality, promotions, geographic concentration, oil correlation) into model development (lag-augmented OLS vs seasonal-naive benchmark), rolling-origin validation, and a final executive summary with driver effects and tactical recommendations for staffing and promotion strategy.