Fynd buying intent

Our first deployment went live at a Diesel store. We spent a month on the shop floor afterwards, watching how reps moved through their day, what customers actually asked them, and where our product got in the way. A lot of what Fynd looks like today came out of the rebuilds that followed. In retail, the shop floor is the brand. It is also one of the departments with the highest churn. People move on for many reasons, but the common thread is feeling stuck. The path from associate to senior roles is rarely clear, and most reps don't have the networks or exposure to make the jump. Research from Google 's AI Works for Britain initiative surfaced the same pattern at a national scale. 76% of Brits feel stuck. The research points to networks, mentorship, and the confidence to put yourself forward as the real bottlenecks, not formal education. Most of the AI-in-retail conversation is aimed at the customer side, things like search, recommendations, and conversational discovery. The shop floor gets less attention, and when it does, the framing is usually about replacing labour rather than augmenting it. In markets like the UK where frontline hiring is getting harder and more expensive, that framing is wrong. The retailers who will win are the ones who use AI to make their existing reps better, not fewer. A rep with real product knowledge, styling context, and customer history in their pocket closes more sales. They also learn faster. They pick up how to talk about fit, fabric, and occasion the way a customer would want, in months instead of years. This is what AI in retail is for. Fynd Farooq Ragini Ronak Salman Jigar Kushan Vipul Nanditha Rixon Aditi Amrita #AIinRetail British Retail Consortium BRC Learning