00:00 - 01:44 - Introduction
01:44 - 03:03 What current trends in the Retail and CPG industry?
03:03 - 04:40 What are the main challenges that this industry is facing?
04:40 - 06:28 How are they responding to these challenges?
06:28 - 09:15 Customer examples of who have responded to these challenges
09:15 - 10:43 How generative AI can play a role in this space.
10:43 - 12:15 How customers get started implementing this transformation
12:15 - 12:43 - Closing
In this episode of Data Strategy Unravelled, Khendr’a sits meets with Sam Kline, Principal Data and GenAI Strategist at AWS, to explore the current landscape of the Retail and Consumer Packaged Goods (CPG) industry, diving into the key trends, challenges, and strategies that organizations are adopting to gain a competitive edge.
They start by highlighting the importance of data, analytics, and AI/ML in enabling retailers and CPG companies to understand their customers, optimize their supply chains, and drive business growth. Next, Sam delves into the current industry trends, showcasing how retailers are leveraging advanced analytics and AI to optimize in-store and digital experiences, as well as connect their end-to-end supply chain.
The two then explore the main challenges facing the industry, such as siloed data and strategies, which create resistance to change. We'll discuss how organizations are responding, including starting small, improving demand forecasting, empowering teams with data-driven insights, and aligning the entire value chain.
Sam also provides customer examples showcasing how leading Retail and CPG organizations such as Dominoes have responded to these challenges. They also dive into the role of generative AI, exploring use cases and the importance of strong data foundations and responsible AI strategies.
Finally, Sam provides guidance on how organizations can begin their transformation journey, emphasizing a holistic approach addressing people, processes, and technology. Don't miss this insightful look into the future of the Retail and CPG industry!
Learn more about AWS Data Strategy: [ Ссылка ]
Dominos Case Study: [ Ссылка ]
Subscribe to AWS: [ Ссылка ]
Sign up for AWS: [ Ссылка ]
AWS free tier: [ Ссылка ]
Explore more: [ Ссылка ]
Contact AWS: [ Ссылка ]
Next steps:
Explore on AWS in Analyst Research: [ Ссылка ]
Discover, deploy, and manage software that runs on AWS: [ Ссылка ]
Join the AWS Partner Network: [ Ссылка ]
Learn more on how Amazon builds and operates software: [ Ссылка ]
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: [ Ссылка ]
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster.
#AWSforData #DataStrategy #DataDriven #ArtificialIntelligence #MachineLearning #Analytics #Data #RetailandCPG #AWS #AmazonWebServices #CloudComputing
