Welcome to our latest episode of #CoffeeChats!
We’re speaking with Shashank Kidiyur Sathish, Head of Data and Analytics at Amazon Fashion & Sports Europe, to explore his exciting take on the future of AI and data at Amazon.
☕ Hi, Shashank. Can you tell us more about your current role and how data contributes to Amazon’s success?
At Amazon, data is instrumental to how we make shopping easier, more inspiring, and more personalised for customers. My team works with brands, business stakeholders, and software development teams to turn data into high-impact initiatives. We focus on solving complex problems through data products and experimentation that help brands grow and customers find exactly what they’re looking for. Additionally, we drive data literacy and AI upskilling for internal teams through training and knowledge sharing.
☕ What have been some of your key achievements in innovating in recent years?
One of the achievements I’m especially proud of is creating a customised insights tool that gives fashion brands data on sales performance, inventory velocity, forecasts, and the impact of new-to-brand customers, to empower leaders to make better-informed decisions. It started within Amazon Fashion & Sports, but the impact was so strong that it’s now being used across other categories in our European stores.
☕ How do you adapt to working with tech at scale, and what drives you in this ever-evolving field?
In a world where new tools appear almost every day, it can be tempting to chase the latest shiny innovation. But at Amazon, we always start by asking a simple question: what problem is the customer facing, and how can technology truly help solve it at scale? That mindset keeps us grounded while still encouraging curiosity. I love exploring emerging technologies and testing them with my team. Over time, that culture of learning and rapid experimentation is what allows us to bring meaningful value to our brands and customers.
☕What are you most excited about going forward?
What excites me most is how quickly AI is becoming part of our daily work. For my team, it’s already helping in practical ways – from summarising meeting notes to speeding up coding and unlocking insights from complex data. This rapid evolution of technology and our adoption of it is presenting new and amazing opportunities to elevate the experience for our brands and customers – and this is just the beginning!
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