Description
RetailClub AI Festival is an event specifically crafted to propel the retail industry into a new era dominated by artificial intelligence. Scheduled for September 22-24, 2026, in Huntington Beach, CA, this festival aims to move beyond mere experimentation and incremental changes, encouraging full-scale AI transformation. It brings together over 2,000 leaders from retail, brands, and consumer goods, including AI operators and founders, to debate, collaborate, and co-create the future of the industry.
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The festival is structured around four main themes: Build with AI, Lead with AI, Sell with AI, and Live with AI. These themes explore how AI is reshaping retail operations, team structures, customer interactions, and the broader consumer economy. Attendees will engage in peer-to-peer conversations, workshops, and Breakthru meetings, all designed to foster genuine connections and practical strategies.
RetailClub AI Festival is held entirely outdoors on a beachside boardwalk, offering a refreshing alternative to conventional indoor conferences. This format is designed to facilitate honest exchanges and networking, supported by cutting-edge event technology. The festival includes a variety of networking opportunities, such as Breakthru Meetings, Experiences, Talks, and Networking Dinners.
The event is organized by the founders of Shoptalk and Groceryshop, bringing their expertise in retail events to create a platform for meaningful collaboration in an AI-first world. RetailClub AI Festival is ideal for retail and brand executives, AI operators, technology providers, and anyone interested in the future of retail. Early registration is encouraged as prices increase monthly.
- CategoryOther AI Tools
Highlights
Outdoor beachside format
2,000+ attendees
150+ speakers
Breakthru Networking Program
AI-powered recommendations
Peer-to-peer conversations
Cutting-edge event technology
Four thematic areas
Who Should Attend
- AI Strategy Development
- Networking Opportunities
- Team Restructuring
- Customer Engagement
- Economic Impact Analysis
