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Logistic Predictive
Background
A logistics company aimed to enhance its supply chain operations and improve delivery accuracy by incorporating predictive analytics.
Challenge
The company faced challenges in demand forecasting, inventory management, and delivery scheduling, leading to inefficiencies and increased operational costs.
Solution
Isoft Technologies implemented a predictive analytics system featuring:
- Demand Forecasting: AI-driven models to predict demand patterns.
- Inventory Optimization: Algorithms to manage stock levels efficiently.
- Delivery Scheduling: Predictive tools to optimize delivery routes and schedules.
Results
- Reduced Costs: Lowered inventory holding costs by 25%.
- Improved Accuracy: Enhanced delivery accuracy, reducing delays by 35%.
- Increased Efficiency: Streamlined operations, improving overall efficiency by 40%.
