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Dacey Rankins

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2026-07-20 16:50:29 -

How Do Retailers Forecast Demand?
A retailer can survive many mistakes. A poorly designed display can be fixed. A disappointing advertising campaign can be replaced. Even an unpopular product can be marked down and moved out. But demand forecasting errors have a peculiar way of lingering. Order too much inventory and products sit in warehouses, quietly draining cash. Order too little and shelves go empty while frustrated...

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Dacey Rankins

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2026-07-17 14:41:40 -

How Does AI Help Retailers? The Real Story Isn't Automation. It's Attention.
A customer walks into a store looking for running shoes. Simple enough. Yet beneath that seemingly ordinary moment lies a remarkable amount of complexity. Which products should be displayed first? Which sizes should be stocked? Which promotion should appear in the retailer's app? How many associates should be scheduled that afternoon? Which inventory should be replenished before the weekend?...

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Dacey Rankins

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2026-07-22 16:04:54 -

How Is AI Changing Retail? The Quiet Reinvention of Consumer Commerce
Retail executives have always chased a deceptively simple goal: understand what customers want before customers themselves can fully articulate it. That ambition is hardly new. What is new is the growing ability to act on it at scale. Artificial intelligence has entered retail not with the dramatic flourish often associated with technological breakthroughs, but with something far more...

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Dacey Rankins

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2026-07-17 14:39:05 -

What Is Retail Analytics? The Science of Understanding Why Customers Do What They Do
A retailer once celebrated a 15% increase in sales. The executive team was thrilled. The merchandising department claimed victory. Marketing pointed to a recent campaign. Store operations highlighted staffing improvements. Everyone had a theory. Everyone had a story. Then the analytics team looked deeper. The increase wasn't driven by more customers. It wasn't driven by better marketing. It...

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