From Chaos to Predictability: How Enterprise AI Is Rewriting Retail Execution

Artificial intelligence is moving out of its experimental phase and into the core architecture of the modern corporation. Today, enterprise AI is less about generic chatbots and more about highly specialized systems integrated directly into a company’s operational workflow. From automating complex supply chains to hyper-localizing retail execution, businesses are leveraging these advanced models to turn chaotic, real-time data into a predictable engine of growth. It is no longer just a tool for driving backend efficiency; it is the foundational playbook for how companies are outperforming the competition.

Building off the recent The Next Big Thing: Enterprise Artificial Intelligence report, this conversation with Max Baumann, Nick Earl and Caitlin Will dives into how enterprise AI, especially applications in retail execution, is preparing businesses for the future.

About the Speakers

Max Baumann is the founder and CEO of Basemakers, a field sales and merchandising
agency. He started the company in 2015 with a $4,000 investment and a single question: How do emerging brands actually win at retail? 

Nick Earl is a data leader who spends a surprising amount of his time arguing against dashboards. He coined the term “Undashboarding,” runs data and technology at Basemakers, and writes and speaks about what an AI-first business actually looks like in practice. 

Caitlin Will is the chief revenue officer at Repsly, where she architects the global revenue strategy and empowers prestige consumer brands and retail service providers to turn chaotic store-level execution into a predictable engine of growth.