GROW The Store of Tomorrow: Innovation in Retail Tech
Thursday 13 July 14:15 – 14:45 The Studio
Discover the future of shopping in an exclusive panel talk with industry experts!
During this panel talk, the speakers will explore the future of shopping and the value of blended experiences in retail. Cristina Carmona Aliaga, Senior Inward Investment Manager for Creative Industries at London & Partners, will chair a stimulating conversation with pioneering start-ups that are changing the game of fashion retail, including SKNUPS, iindyverse, and Sociate.
The panel will discuss:
How brands can leverage technology to understand better what consumers value and create unique experiences for them
Which digital solutions and experiences are transforming the way brands, retailers and consumers shop
What the future of digital shopping and retail looks like in the next 5-10 years
This event is part of our digital series, which covers three rapid-fire panel talks with industry leaders from the digital fashion space. Whilst you’re in the neighbourhood, why not sign up for the rest of our digital series:
Cristina Carmona Aliaga Cristina Carmona Aliaga serves as the Senior Inward Investment Manager for Creative Industries at London & Partners, London’s business growth and destination agency. With an international background and a diverse career path spanning education, corporate relations, and international business development, Cristina supports the setup and expansion of international creative tech businesses in London. She actively shapes the narrative highlighting the strengths of the London ecosystem for creative industries, with a particular focus on ecommerce, retailtech, fashtech, and immersive technologies.
Yasmin Topia Yasmin Topia is a serial AI entrepreneur and venture builder who has garnered support from industry giants such as Microsoft, Jaguar Land Rover, and Silicon Valley VCs. As the CEO of Sociate AI, she leads the world’s first shopping AI that possesses visual and verbal capabilities. This groundbreaking technology trains itself, enabling customers to effortlessly discover and find exactly what they need and love, without the need for sellers to tag their items for discoverability.
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