Retailers are under immense pressure to understand and cater to customers’ preferences and purchasing behaviors. By tapping into point-of-sale data, retailers can identify and analyze purchasing patterns and leverage insights to drive larger basket sizes and capture higher margins by providing more targeted offers and personalized assortments.
Join our live demo on December 10 at 1 p.m. PT to learn how Snowflake helps retailers analyze and enrich POS data with customer data and how retailers can make those insights available across their business to enable data-driven decision-making.
This session will include:
- An overview of industry dynamics and data challenges that retailers face today
- A live demo focused on market basket analysis, demonstrating how Snowflake can be used to discover, analyze, and enrich customer trends within large volumes of POS data
- How combining POS data with data from disparate sources enables retailers to understand product affinity across their assortment
- How third-party data from Snowflake Data Marketplace can help drive additional insights into the purchase patterns and trends in retail
- Audience Q&A
Don’t miss this session showcasing how Snowflake empowers retailers to find customer purchase patterns across segments and channels, and how Snowflake enables retailers to leverage those insights to increase basket size and improve margins.
Head of Retail Strategy, Snowflake
Senior Sales Engineer, Snowflake