AI use cases are multiplying faster than teams can realistically pursue them. Every initiative competes for time, budget, and attention. Some deliver meaningful business value. Others absorb resources without enough return.

Senior retail leaders share the AI initiatives they have put to the test and what happened next. Hear where AI is delivering measurable impact, where promising ideas have fallen short, and what those results are teaching leaders about where to invest next.

Make smarter AI investment decisions by:

• Prioritizing use cases based on value and realistic payoff 

• Measuring impact well enough to separate traction from noise 

• Recognizing when to scale, rework, or stop an initiative 

• Applying lessons from past investments to make better bets going forward