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How an Automotive Leader Reduced Overstock/Understock Costs with AI Analytics.
Our client, a leading importer and distributor of renowned automotive brands for over 30 years, aimed to reduce inventory costs and demand forecasting time by implementing a decision support system.
Goals and challenges
The company`s main objectives were to:
- Reducing inventory by 40%*
- Reducing brand managers` forecasting time by 30%*
- Reducing other departments` manual work by 10%*
- Streamlining internal communication by 20%*
*Expected value
Download our case study to learn how our client achieved the results below with our AI Demand Forecasting Tool:
- Reduced overstock/understock and associated costs (costs related to interest, insurance, and discounts associated with selling older inventory etc.)
- Reduced manual work and streamlined internal communication across all departments
- Customer Satisfaction through Efficient Inventory Management
- Enhanced Decision-Making
- Stronger Data-Backed Negotiations with Equipment Manufacturers
and more.
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