Retail TouchPoints

AUGUST 13, 2024

Early use cases for AI in retail include inventory management, dynamic pricing, customer service chatbots, loss prevention and personalized marketing. Examples can include customer service escalations, product recommendations for high-involvement purchases, new product introductions and other more complicated tasks.

Markdowns 306

Markdowns Loss Prevention Customer Experience Inventory Management 306

Inside Retail

SEPTEMBER 3, 2024

This enables retailers to make data-driven decisions, improve forecasting accuracy, and enhance customer experiences, while also reducing costs and boosting profits. Loss prevention: Employs advanced surveillance techniques to detect and prevent shoplifting. Here are the key areas to apply AI in retail.

Loss Prevention 245

Loss Prevention Checkout Shrinkage Supply Chain Management 245

Retalon

APRIL 27, 2021

In effect, this means a reduction of total inventories, maximized sales, and reduced markdowns. This frees physical stores to serve as showrooms for the broader assortment, or better yet, provide customer experiences and events. Retail AI can apply this process when customers return their purchases.

Fulfillment 41

Fulfillment Markdowns Promotions Returns 41