Datalogic debuts new retail technology at NRF 2018

Datalogic, the automatic data capture and industrial automation solutions provider, debuted new retail technology at the National Retail Federation (NRF) Big Show 2018 at booth 3135.

Every year Datalogic brings innovative technology, products and solutions proving that Datalogic is at the heart of every retail transaction. At NRF 2018 in New York City, Datalogic displayed new Vision and RFID retail technology.

Datalogic showed new vision checkout technology that provides frictionless checkout. This technology demonstration uses the latest vision systems and image processing to allow shoppers to quickly and easily execute transactions. Applications for this technology include quick-service, self-serve, convenience, grocery retail, concessions and much more. Retailers looking for a glimpse into the future of retail checkout were able to experience this new checkout technology personally at the Datalogic booth, 3135.

Datalogic also demonstrated the Jade X7 automated scanning portal with new proprietary, integrated RFID technology. This new technology was developed specifically to aide online retailers and omni-channel retailers with order fulfillment and reverse logistics. The demonstration illustrated the power of coupling barcode technology and RFID technology to maximise customer satisfaction during order fulfilment. Another application of this new technology is reverse logistics where bar code scanning and RFID can dramatically reduce expenses for online retailers and third party logistics providers when processing returned merchandise.

Visitors were invited to see and experience these new technology displays and enjoy a fresh coffee beverage at the espresso hospitality area. Datalogic product managers, sales executives, and senior managers were on hand to provide details and answer questions regarding these new technology demonstrations.

Retail's Big Show, NRF 2018 took place January 14 - 16, 2018 in the Jacob K. Javits Convention Center in New York City.

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