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Advanced Forecasting Optimizes Inventory & Boosts Sales

A major home furniture retailer struggled with inefficient inventory management and missed sales opportunities due to inaccurate demand forecasts

Project duration:

5 months

Output:

Sales forecasting

The challenge

  • Frequent stockouts leading to missed sales opportunities and customer dissatisfaction.
  • Overstocking resulting in excessive storage costs and wasted resources.
  • Delays in production and delivery due to inaccurate planning.
A tailored AI-powered demand forecasting model developed to analyze:
  • Historical sales data and seasonal purchasing trends.
  • Store traffic, advertising impact, and delivery timelines.
  • SKU-level demand for a 12-week horizon.

Impacts

Success stories

how we do

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