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DOTS participate in Gitex 2018. ‎Launched First AI-powered Smart Vending Machine Solution for Retails

Dubai, Oct 14, 2018
DOTS participate in Gitex 2018. ‎Launched First AI-powered Smart Vending Machine Solution for Retails

Gitex is recognized as one of most prominent Technology Exhibition, especially if you’re talking technology within the Middle East, Africa and Asia. Right from world-famous industry names to Silicon Valley’s technology giants, everyone heads to GITEX for big business partnerships, future-ready gear and booming successes.

DOTS has demonstrated some of the cutting edge IOT application through their partner network at Gitex 2018 to showcase how the retail industry is experiencing a transformation with Smart City applications.

DOTS has demonstrated first Artificial Intelligence (AI) based Smart Vending machine to take experience to next level for Smart Retail services provider and end users.

‘Offered solution is embedded with face recognition based smart sensing for visitors on a Vending Machine and also equipped with multiple ways of payments. Payment can be done using smart smiley points, using smart wearable’s, using system generate QR code or using cloud wallet.’ Says Dheeraj Singh, CEO, DOTS.

DOTS offered services for Smart Retails are next-generation solutions making engagements of retail virtually contact-less and unmanned with Smart Services embedded at associated layers. Service users can make necessary purchases based on their preferences of items selected and based on payment methods of their choice out of several easily available options.

Several custom smart algorithm can be built with retail solutions such as the one demonstrated by DOTS at Gitex for Vending machines. It does an assessment of hydration level of the visitors based on their age, weight and fluid intake and then suggests what should be the required fluid to be consumed based on the real-time hydration level assessment. The vending machine also automatically displays a selection of available options suitable to the user’s need based on the situations.

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