Artificial Intelligence Solutions
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Top-flop predictions
The client is an internationally successful fashion company reaching more than 35 million customers in 30 countries.
The Challenge
- Inability to scale internationally for additional product launches
- Lack of agility in identifying top/flop products
- Inability to identify top/flop products for respective regions
Our Solution
Direction developed a solution to pinpoint high-performing and low-performing products across diverse product lines through a customized iteration of the artificial neural network (ANN)-based demand-potential forecast solution.
This approach:
- Optimizes budget allocation for products and categories
- Identifies top regional products for efficient decision-making
- Improves inventory efficiency and reduces storage costs by determining optimal inventory levels
- Optimizes reorder points and stock levels to minimize costs and prevent inventory shortages