Part 10/12:
Store Assortment Optimization: AI models analyze space constraints, demand forecasts, and layout constraints to determine the optimal product placement, maximizing revenue and customer convenience.
Robotic Floor Scrubbers: Automated machines equipped with cameras and deep learning algorithms continuously clean floors, verify pricing accuracy, monitor stock levels, and assess product placement, enhancing store upkeep and operational efficiency.
Inventory and Localization
Using AI to localize inventory decisions ensures that products are placed where they are most accessible and relevant. Dynamic shelf arrangements and demand-based adjustments help improve customer satisfaction and store efficiency.