Retail Is Still Running on Yesterday’s Data — Here’s How Leaders Fixed It

Описание: Most retail decisions are made in real time.
Most retail data arrives too late.

That gap is quietly costing retailers speed, margin, and customer experience.

In this episode of WWT Research, Robb Boyd is joined by WWT leaders Dan Morrisroe and Chris Halstead to break down how top retailers are moving beyond static scorecards and building real-time, predictive intelligence that supports decisions as they happen—not after the fact.

The conversation focuses on what actually works at enterprise scale: unifying fragmented data, applying AI with discipline, and delivering insights that frontline teams can trust and act on. This isn’t about more dashboards. It’s about measurable outcomes—better staffing accuracy, smarter inventory decisions, reduced waste, and improved customer experience.

If your teams are still managing stores with yesterday’s data, this episode shows how leading organizations are closing the gap between insight and execution.

In this episode, we cover:
Why backward-looking scorecards limit operational performance
How predictive intelligence improves labor, inventory, and CX
Where AI creates value—and where it doesn’t
Why explainability matters for frontline adoption
How people, customers, and agility must work together

Key takeaway:
Real-time decisions require real-time intelligence. Retail leaders who get this right move faster, operate smarter, and stay ahead.

#RetailTechnology #RetailAI #RealTimeData #EnterpriseAI #RetailAnalytics
#DigitalTransformation #AIinRetail #DataDrivenDecisions #OperationalIntelligence #FutureOfRetail

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About WWT:
World Wide Technology (WWT) is a global systems integrator that provides digital strategy, innovative technology, and supply chain solutions to large public and private organizations.

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