Element / Retail - High-Granularity Forecasting with 52-Week Projections
High-Granularity Forecasting with 52-Week Projections
Problem :
Static pricing models fall short in predicting dynamic market conditions and long-term performance. Without forward-looking datasets, planners are left relying on outdated assumptions.
Solution :
The Pricing Simulator Tool generates a 52-week futuristic dataset for each retailer-product group combination. This dataset leverages historical trends, promotional calendars, and COVID-adjusted assumptions to forecast performance across metrics like NSV, elasticity, and COGS.
Outcome :
Teams gained access to robust forecasting capabilities, allowing them to simulate long-term scenarios with higher confidence. Strategic planning became more agile, accurate, and aligned with evolving market realities.