Melissa Wong

CEO Zipline

Agenda Day 1

2:05 PM Think Tank: Your Best Store Knows Something the Others Don’t. What If You Could Scale It?

Retailers have never had more data about store performance. Most can quickly identify which locations are ahead of plan and which are falling behind. The harder question remains: why—and what should we do about it right now? Thousands of operational, behavioral, and environmental signals can influence a store's results, yet they're difficult to interpret consistently and often surface too late to change the outcome.

That's where AI creates a fundamentally new opportunity—not as another dashboard or general-purpose assistant, but as a way to connect performance outcomes with the behaviors driving them, identify meaningful signals earlier, and translate those signals into specific action for each store.

- Where does your store performance gap really come from? How confident are you that your organization understands the behaviors and conditions actually driving the difference?

- How are you deciding what each store should do next today? Comparing the strengths and limitations of DM experience and instinct, standardized playbooks, BI and analytics, point solutions, and emerging AI approaches.

- What changes when intelligence becomes store-specific?

- How do you move from insight to measurable impact? What would it take to connect a signal directly to an intervention, see whether it worked, and use that outcome to continuously improve what you recommend next?

Check out the incredible speaker line-up to see who will be joining Melissa.

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