Go Instore wins Retailing Technology of the Year Award at the National Technology Awards

Go Instore, a UK-based industry innovator of a pioneering first-person shopping experience for online customers, has won the Retailing Technology of the Year Award at the National Technology Awards.

The National Technology Awards are the most comprehensive celebration of technology in the year, designed to recognise pioneers of new technology and help drive standards and encourage excellence. Go Instore was named the winner, out of eight shortlisted finalists in the Retail Technology of the Year category. The judges were particularly impressed with the way Go Instore uses artificial intelligence to create an immersive customer experience and boost conversion rates, making Go Instore stand out from the rest.

Commenting on the award, Co-founder of Go Instore Aman Khurana said: “It is an absolute honour to have won the Retailing Technology of the Year Award from such a recognized body in the UK. We understand the value in businesses having both a digital and a physical channel, but by taking many of the benefits of an in-store experience and delivering it to our client’s customers on their web channel, they are able to dramatically improve engagement and revenues.  We are grateful to the judges for recognising that Go Instore is perfectly positioned to help retailers achieve this.”

Go Instore’s cloud-based technology allows customers to browse online and be taken “instore”, in real-time, via an engaging live video captured instore by sales staff. Visitors simply click on the “Go Instore” button from any website page, which then launches an online video facility from which they are able to see ‘through the eyes’ of the assigned sales person. By facilitating a live, immersive video connection between website visitors and in-store product experts, Go Instore is empowering retailers to deliver an entirely new way to shop online.

The service is supported by Go Instore’s server infrastructure and artificial intelligence that can quickly analyse online behaviour to ensure that online shoppers are connected to the representative best placed to serve them for their individual needs and interests.

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