Perfect Store Execution with
GenAI powered solutions on AWS
Consumer-packaged-goods (CPG) companies invest heavily in trade promotions, yet many see little return on these investments. With 72 percent in the United States losing money on promotions, there is a clear opportunity for improvement. Traditional trade promotion strategies are often ineffective.
Join us as we explore how CPG companies can harness Generative AI on AWS to optimize store execution and increase ROI.
We’ll demonstrate:
Streamline data ingestion from various POS sources using AWS Glue.
Utilize Amazon EMR and Redshift for robust data analysis and modeling.
Build interactive dashboards with Amazon QuickSight for real-time decision-making.
Discover how Amazon Q, AWS's GenAI assistant, helps sales and RGM teams quickly identify underperforming stores.
This webinar is essential for those looking to enhance decision-making and drive better results through advanced data analytics and AWS technologies.
Speakers
Wilson Thankachan
Global CPG Partner Solutions Architect, AWS
Anish Haldiya
Principal Architect, CPG, Sigmoid
Moderator
Kevin E. McCurdy
Global CPG Segment Lead, AWS
He is global CPG segment lead at APN for AWS, responsible for identifying and engaging relationships with strategic ISV and SI Partners. Previously, he served as VP of demand signal management at E2open; was cofounder and VP of strategic accounts for Orchestro, which was later acquired by E2open; and was also cofounder and VP of business development and services at Mercari Technologies. McCurdy has over 25 years of experience in supply chain management, category management, and demand signal management, working with global CPG companies and retailers, including Coca-Cola, General Mills, Kellogg’s, PepsiCo, Unilever, and Kraft-Heinz. He holds a BSc in business logistics and international business from Penn State.