Databricks at National Retail Federation (NRF) Retail’s Big Show 2023

Retail, at its core, is about the relationship between an organization’s brand and customers - creating fans who are loyal with an engaging experience for shoppers, efficiently ensuring products are in the right place at the right time, and providing team members with the tools to execute at a high level. But in a world where change appears to be the only constant, retailers are always operating in a state of catch up.

Flexibility and choice are the new expectation from consumers, which has a major impact on retailers' bottom lines. Compounding these consumer-led changes has been the recent volatility – in supply chains, markets, and consumer behavior – which is an expected new norm for years to come.

But volatility doesn’t have to be a scary word. Retailers of all sizes and industries are turning to data and AI to meet changing consumer demands and tackle the biggest operational hurdles. Retailers today are using data, AI and analytics with a lakehouse architecture to power growth:

• combining data sources and types to create a single source of truth that can drive personalization initiatives
• delivering deep visibility and collaboration across the supply chain to optimize operations
• empowering employees across the organization with real time insights for fast, accurate decision making

Databricks’s mission is to empower people and organizations to do more with Data and AI. For Retail, this means gaining deep insight into your customers, your supply chain, your store operations, to determine in real time how to optimize the business. The biggest way to unlock this is to un-silo data from a wealth of different sources and organizations.

That’s why we’re excited to announce that Databricks will be at NRF 2023!

NRF brings together 37,000 retail professionals and vendors from more than 90 countries to share big ideas in retail. We invite you to join us and learn how data and AI are transforming the industry. NRF 2023 will take place in New York City at the Javits Center from Sunday – Tuesday, January 15 -17. If you haven’t yet, register to attend the event here.

As you prepare to attend NRF 2023, here’s are some of the ways you can engage with us:

Visit the Databricks Booth #5339

Talk directly to our data and AI experts at our booth to discuss your data challenges and reimagine the future of retail. Discover how the Databricks Lakehouse is the only enterprise data platform that allows you to leverage all your data — from any source, on any workload — to create more engaging customer experiences driven by real-time data at the lowest cost. You can also request a meeting with us directly!

Hear firsthand from data-driven retailers and partners in the Lakehouse Theatre

Hear from Databricks customers and partners about the key role data plays in their organizations and how they are leveraging data, analytics and AI to solve critical use cases. Hear insights from top retailers and partners:

• Columbia Sportswear is building omni-channel customer segmentation to personalize experiences and connect active people with their passions.
• 84.51° is helping personalize the shopping experience and CPGs understand brand and shopper behaviors and customers with clickstream data.
• AWS on how the Lakehouse for Retail enables Gousto to deliver real-time visibility and collaboration across the supply chain.
• Snowplow on how Burberry delivers granular personalization with first-party data.

Check out our full list of Lakehouse theater sessions here.

Join us at Classic Car Club Manhattan

For executives, kick off your stay in New York at Classic Car Club Manhattan on Sunday, January 15. Join Databricks, our Brickbuilder Solutions partners, and your retail and consumer goods peers for an exclusive evening of networking, food and drinks. Just steps away from Javits Center, this invitation-only evening reception will bring together industry leaders, Databricks executives and experts, and top Brickbuilder Solutions partners. Space is limited – request a spot today!