BevMo! is incentivizing store visits by streamlining and customizing the shopping experience, offering Smart Aisles that ask shoppers questions about their preferences to guide them to the best option

Spirit and liquor retailer BevMo! is enabling interactive store aisles to drive engagement and personalize the in-store experience. These Smart Aisles, designed by The Mars Agency, will be tested at the end of March on the west coast of the United States, including locations in Oakland, Carmel Mountain and Santa Clara.

The shelves will use voice activation, LED lighting and artificial intelligence to help guide BevMo! shoppers through the aisles. Smart Aisles will offer assistance in selecting a product while also asking questions and providing information. Whisky will be the main focus of the in-store tech, aiming to help shoppers find their perfect selection based on questions on preference.

The AI aisles will take the information provided about consumers' whisky preferences and narrow down three choices, even reading off descriptions and names of the products, and will then direct shoppers to the bottles with the LED function. Tamara Pattison, chief marketing and information officer at BevMo!, says “This simply enhances our commitment to using technology to offer better customer experiences and this kind of forward-thinking, in-store solution is totally in line with our strategy.”

BevMo!

The Mars Agency


Lead image: The Mars Agency via Twitter

Spirit and liquor retailer BevMo! is enabling interactive store aisles to drive engagement and personalize the in-store experience. These Smart Aisles, designed by The Mars Agency, will be tested at the end of March on the west coast of the United States, including locations in Oakland, Carmel Mountain and Santa Clara.

The shelves will use voice activation, LED lighting and artificial intelligence to help guide BevMo! shoppers through the aisles. Smart Aisles will offer assistance in selecting a product while also asking questions and providing information. Whisky will be the main focus of the in-store tech, aiming to help shoppers find their perfect selection based on questions on preference.