Artificial intelligence in logistics to reduce storage costs.

Logistics

Initial situation of strategy consulting

Our Data Science & AI team analyzed existing stock levels and historical sales figures to identify patterns and trends in demand. The data basis was crucial for the development of algorithms that made it possible to accurately forecast sales.

Data basis and methodology

The implementation of the AI solution enabled our client to efficiently manage inventory, drastically reducing storage costs without compromising customer satisfaction. By accurately modeling demand and freeing up resources, the company was able to become more competitive.

Development process

The solution focused on optimizing inventory levels to reduce costs without risking supply shortages. The development process integrated advanced algorithms such as deep learning methods to overcome the challenges of irregular demand.

Implementation and optimization of internal processes

The implementation of the AI solution enabled our customer to efficiently manage inventory, drastically reducing storage costs without compromising customer satisfaction. By accurately modeling demand and freeing up resources, the company was able to become more competitive.

Success story

Our solution demonstrated how AI can be applied to logistics without the use of robots and helped our customer to improve operational processes. The accurate prediction of demand led to optimized warehousing and significant cost savings. This use case shows how artificial intelligence and data analytics can work together to provide an effective solution to complex logistics challenges.

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