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. Retailers can automate markdowns to minimize revenue loss and increase profitability, which can be especially important for seasonal retailers.

Markdowns 306

Markdowns Loss Prevention Customer Experience Inventory Management 306

Inside Retail

SEPTEMBER 3, 2024

Inventory management Predictive analytics: This helps optimise your stock levels, preventing overstocking and stockouts. Loss prevention: Employs advanced surveillance techniques to detect and prevent shoplifting. This means you can get the most out of each product you are selling.

Loss Prevention 245

Loss Prevention Checkout Shrinkage Supply Chain Management 245

Inside Retail

JANUARY 30, 2024

Lifecycle pricing inventory management Zebra Technologies also has products focused on inventory management and Lifecycle Pricing. The software uses AI to help a retailer plan the introduction of new stock into a store and manage the pricing levels across its shelf life.

Loss Prevention 147

Loss Prevention Shrinkage Inventory Management Markdowns 147

Retalon

SEPTEMBER 22, 2021

Better inventory management and visibility. Retailers need better inventory management practices to conduct BOPIS operations but at the same time, BOPIS makes your inventory management better. Your inventory system must be accurate in real-time. This benefit is a chicken-and-egg situation.

Fulfillment 41

Fulfillment Payment Services Inventory Management Shipping 41

Retalon

APRIL 27, 2021

to optimize inventory for gross margins. In effect, this means a reduction of total inventories, maximized sales, and reduced markdowns. More importantly, an analytics-driven retailer no longer reacts to sales and inventory reports, but instead proactively optimizes its business. check out their story here).

Fulfillment 41

Fulfillment Markdowns Promotions Returns 41