AI, RFID Technologies Point the Way to Tagged Inventory

A department store in New York is testing a solution that uses gaming-style artificial intelligence and radio frequency identification (RFID) to help sales associates locate a specific product in-store by viewing it on a 3D map and following arrows leading them to it.

A technology company has developed an indoor mapping system designed to help point store associates in the direction of specific products, thereby helping them navigate their way to those items on a map of the store. In the future this feature could be made available to shoppers as well, depending on a retailer’s infrastructure. The company is releasing the latest version of its ARC device, which uses RFID, as well as augmented reality (AR) and artificial intelligence (AI) technologies, to specifically identify where a product was last seen, and where the individual using the system is standing, then to direct him or her to that item.

The company’s origins are not in retail or AI. Margaret Nyswonger and Bradley Berlin launched Stealth Network Communications in 1994 to provide voice, data, security, network and wireless solutions to government agencies and commercial industries. Over time, the company started speaking with clients that faced inventory-management problems; they knew they had products in the store, but they couldn’t find their specific location, explains Kat Bride, StealthMatrix’s sales and marketing director.

The resulting solution displays an item and directs a sales associate to its exact location within 1 foot. It consists of StealthMatrix’s ARC device and the company’s cloud-based software to capture data from the device, and to link it to information that includes a map of a store and the locations of tags read within on the premises. In that way, users can simply follow an arrow that will lead them to the items they seek.

Existing in-store RFID solutions come with some shortcomings, Bride says. Handheld readers are limited in terms of the accuracy at which they can locate goods. Typically, the location is based on zone-based data input by a user as he or she undertakes an inventory count with a handheld reader in the storefront or back room. Therefore, a handheld system provides an accurate picture of what tags are onsite, and thus which products are available, though specific location data is lacking. A real-time location system (RTLS) with overhead readers can provide greater location granularity, but Bride notes that the cost of hardware installation (overhead readers, for instance) can be too high for most stores.

To launch the StealthMatrix system, a company acquires at least one ARC device, which comes with a UHF RFID reader and an antenna, as well as five sensors and five cameras. First, a retailer would need to map out its store. Users can hold the device in front of them in both hands, then walk through the aisles of the storefront or back room. The ARC captures the images around it and creates a 3D map indicating where barriers and display areas are located. The device can immediately begin reading UHF RFID tags within the vicinity. In that way, even as it creates a map, the system also captures the unique ID number of each tag affixed to a store product, along with the location of that item within about 1 foot. That data can then be stored in the cloud-based software.

The system offers several advantages to retailers, Bride says. For one thing, it can be used for inventory counts that identify specifically where items are located and thus when they have moved. That information makes it possible to correct the misplacement of goods, and to determine if customers have moved a product without buying it. In the latter case, stores can capture analytics to better understand which products are attracting the interest of customers, as well as what items might be frequently tried on together—for instance, if a scarf or hat is being taken into the shoe department to be tried with a specific pair of boots, then is being left behind in that area.

Source: RFID Journal

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AI, RFID technologies point the way to tagged inventory
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