Fluctuating demand, unexpected disruptions and rising costs put supply chain managers under pressure. But there are ways to overcome these challenges: Elisa Industriq, a provider of AI-powered operational intelligence software, is presenting successful approaches and solutions at HANNOVER MESSE 2025. A combination of the following levers has proven effective in overcoming current supply chain management challenges.

Predict customer demand more accurately

Only those who can reliably forecast demand can prevent overproduction and avoid bottlenecks. The key to this is the AI-based algorithms in the sedApta platform from Elisa Industriq. They use historical sales data, market trends, external influencing factors and other information to predict how demand will develop. This makes planning easier.

Inventory management to the point

Equally important: the optimal inventory level. This can be calculated today based on real-time data from sales, production and the supply chain. This avoids overstocking while ensuring the availability of critical materials and semi-finished products. The way to get there is through an inventory management system that uses machine learning.

Find the best scenarios

Those who know the state of play at all times achieve full transparency. Those who also have an overview of how a change will play out gain planning security. In the control tower of the sedApta platform, scenarios can be simulated and their effects on the respective process understood. This enables companies to react proactively to changes and dynamically adjust their detailed planning.

Smart logistics control

AI-controlled processes also help with picking, packing and sorting. This increases efficiency and reduces operating costs in warehouses and distribution centers. What's more, better use of warehouse and transport capacities can accelerate production and thus shorten delivery times.

Automating supplier evaluations

Analyzing supplier performance data can help identify risks early on. However, the latest generation of AI-based systems, such as sedApta, not only evaluate adherence to delivery dates, transport times and product quality. They also make suggestions on how manufacturers can counter possible risks. The tangible effect of this is that the supply chain becomes more resilient overall.

Management of high-tech manufacturing processes

These and other approaches to demand-driven manufacturing will be presented by sedApta at the Elisa Industriq stand in Hannover, along with numerous innovations. Also on display in Hannover are camLine's modular software solutions for managing high-tech manufacturing processes. With Distributed Energy Storage (DES), Elisa Industriq is also demonstrating how AI can be used for a more sustainable future. DES optimizes industrial and commercial energy storage systems, such as batteries and electric boilers, to reduce electricity costs and emissions. At the same time, companies can benefit from participating in flexibility markets.

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