Amazon’s mission, as stated from its earliest days, is to be the Earth’s most customer-centric company. What Amazon realized as its growth accelerated and its reach extending to tens, then hundreds of millions of customers globally, is that at the speed and scale with which it operates, it is impossible the deliver the best possible experiences for its customers without the practical application of Artificial Intelligence (AI) and Machine Learning (ML) in every aspect of its businesses.
A case in point: Amazon delivered more than 9 billion items in the same or next day around the world in 2024, while at the same time, continuing to lower the cost to serve and improving safety across its network. Achieving success in such environment is not just about achieving incremental improvements through sophisticated analytics to predict customer demand or optimize inventory plans better, but taking a radical approach to tackle every possibility to reimagine and reinvent with a bold ambition for how AI can unlock step-change levels of value for the customers, and the applying the right set of capabilities and enablers to translate these visions into practical and real business outcomes.
This session outlines the strategy and approaches
Amazon.com takes to build and scale AI-enabled innovations that translate into compelling value outcome for its customers and partners – e.g., better shopping experiences, faster delivery, more money savings, and enjoying even more success partnering with Amazon. We will share real-life stories from Amazon’s businesses and functions, and explain how these AI innovations transform customers’ experiences while achieving efficiency improvements, speed acceleration, and cost-to-serve reductions. We also share insights into the lessons Amazon teams have learned about the core things that are most important to get right to achieve sustained AI success at an enterprise level through the lens of culture, mechanisms, data, and technology.
