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Aligning Inventory with Seasonal Demand

A leading fashion retailer struggled to align inventory levels with seasonal demand, particularly for limited-time collections. Overstocking led to high storage costs and markdowns, while stockouts during peak seasons resulted in missed sales opportunities and dissatisfied customers. 

fashion-clothes

Project duration:

8 months

Output:

Sales forecasting

The challenge

  • Frequent overstocking of less popular items, leading to markdowns and financial losses.
  • Stockouts of high-demand items during sales peaks, reducing customer satisfaction and sales.
  • Lack of accurate forecasting for seasonal trends and rapidly changing consumer preferences.
An AI-powered demand planning system deployed to:
  • Integrate historical sales data, weather patterns, and market trends to predict demand for each collection.
  • Leverage social media sentiment analysis to identify emerging trends and adjust forecasts in real time.
  • Allocate inventory dynamically across regions to match demand variability.

Impacts

Success stories

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