How Tracxpoint’s T•Loc solution makes shopping carts safer

Self-Service Solutions Tracxpoint has developed T•Loc, an intelligent locking device for standard shopping carts.

“With the rollout of our Daivi Smart Cart and CHECXiN Cart Management products, we have received many requests from budget-conscious grocers about the possibility of getting their feet wet with a less robust solution. Several retailers were already using coin-operated locks , so our decided to reinvent this type of security device to connect to our AI-based ecosystem,” said Tracxpoint director of strategy Gidon Moshkovitz.

T•Loc may appear as a simple chain-locking mechanism, but the data and insights it provides to store operators is exceptionally valuable and unparalleled,” Moshkovitz added.

The T•Loc can be unlocked by scanning a QR code printed on the main housing using the stores rewards/loyalty mobile app, or through the traditional use of inserting a coin to guest buyers.

The device then begins to send data to the store’s servers; such as cart location and length of a shopper’s visit, which combine to generate daily store heatmaps, giving managers great insight into customer movement and store layout analytics.

With the ability for T•Loc to broadcast its coordinates, locating abandoned carts outside the store or retrieving a remote count of carts in or near a returns kiosk is as easy as turning on the TV.

Anti-theft and general scanning aren’t the only features of T•Loc. Like the Daivi Smart Cart, shoppers using a store’s mobile app can earn rewards for safely returning and locking the cart, while receiving personalized, location-based coupons during their shopping journey. .

Coupons can be viewed in the store’s own mobile app and scanned at checkout. No personally identifiable data is ever collected or shared.

With less infrastructure required and easy installation, Tracxpoint’s T•Loc smart locking device generates data and customer insights to fine-tune operation while securing the fleet, at minimal cost.

Tracxpoint is ready to deploy the AI-Driven T•Loc units in Q4 2022.

This first appeared in the CommsWire subscription newsletter on July 20, 2022.


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