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Uncover store opportunities, drive efficiencies, and improve the consumer experience with Amazon’s Just Walk Out Analytics
In-store shopping is on the rise. According to
Consumers are looking for stores that offer convenient, enjoyable shopping trips that allow them to easily find what they need and get back to their lives. So it’s no surprise that many organizational leaders plan to increase their store technology investments. Gartner’s 2023 CIO and Technology Executive Survey reveals that 65 percent of respondents will spend more in business intelligence and analytics, and 80 percent plan to increase funding in-store technology in 2023. These investments can help retailers identify buying trends to inform inventory, pricing, and customer service decisions.
Many retailers rely on point-of-sale data that tells them what products are purchased, but not how the products were discovered. While managers can spend time on the store floor to observe purchasing patterns, the process is time consuming and takes resources away from other activities. Retailers can also deploy consumer surveys or ethnographies to understand in-store behaviors, but those reports are self-reported and point-in-time. How can retailers go beyond sales information and gain a scalable, data-driven view on product interactions across the store?
Discover traffic and path-to-purchase trends with Amazon’s Just Walk Out Analytics
Powered by Amazon’s
Just Walk Out technology by Amazon lets consumers enter a store, grab what they want, and go, all without stopping to check out.
Now, with Just Walk Out Analytics, retail operators can learn useful insights from traffic patterns and performance across the store and by shelf, fixture, and product category. This insight can help retailers improve product assortment and placements, drive operational efficiencies, and enhance the store experience for their consumers.
For example, Just Walk Out Analytics can help retailers identify how products are shopped, what types of items are picked up first, which items are frequently purchased together, and what items are returned to the shelf. Retailers can use this insight to reduce low converting products, adjust the placement and number of products placed on the shelf, and identify items that should be placed or promoted together to build basket sizes.
The metrics and insights generated by Just Walk Out Analytics can also help retailers make decisions that boost store and labor efficiencies with traffic and consumer engagement trends. From here, retailers can determine when to restock shelves and how to improve staff scheduling to support high-traffic times. Analyzing traffic and performance trends across product categories and items also helps retailers manage decisions to refine inventory levels and shrink store waste. Having a store stocked with the right items, amounts, and at the right times can go a long way to improve the store experience and reduce operational costs.
The consumer experience flywheel
The physical store environment fosters a direct relationship between consumers and retailers. To be successful, retailers must put the consumer experience at the forefront, and harness insights on how products are found, considered, and purchased in-store. Such retailers will be able to better develop an understanding of their store’s shopping journey so they can improve merchandising, maximize space productivity, and focus staff on delivering a winning in-store experience.
With Just Walk Out technology by Amazon and Just Walk Out Analytics, retailers can deliver a frictionless consumer experience while gaining a scalable, data-driven view of their stores’ path-to-purchase insights in one place.
Interested in bringing Amazon’s Just Walk Out technology or Just Walk Out Analytics to your store?
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