Can you forecast hourly sales and customer counts for two retailers in Wuerzburg’s city center? In this private competition, your goal is to develop predictive models that leverage historical sales and customer data together with pedestrian foot traffic to anticipate store-level activity.

By combining multimodal time series data, participants will tackle real-world forecasting challenges relevant to retail operations, marketing, and resource planning. This task builds on the insights of the previous [Foot Traffic Wuerzburg](https://www.kaggle.com/competitions/foot-traffic-wue/) competition and invites more advanced exploration of data-driven retail analytics.