アパレル需要予測と店舗現場における認識のズレが招く“売り逃し”―アパレル店舗従事者の7割が「売れる商品が店に来ない」と実感

Key takeaways

• Retail staff report a major disconnect between predicted demand and actual store inventory.
• This gap results in significant missed sales opportunities for apparel retailers.
• AI forecasting needs better integration with real-time store-level insights.
• Operational efficiency relies on aligning AI predictions with physical store realities.

Why it matters

This highlights a critical operational challenge for businesses using AI in retail. Inaccurate demand prediction or poor inventory allocation can directly impact revenue, even with advanced AI tools. It underscores the need for AI systems that integrate real-time store feedback.