Previous webinars
Maximum transport utilization in automotive inbound
Rising transportation costs, volatile demand, and complex supply chains are putting pressure on OEMs and suppliers. In our 30-minute webinar, we show why traditional planning approaches are no longer sufficient and how AI-supported transportation optimization reduces costs and maximizes utilization. Experience a live demo of the S2data platform and discover immediately implementable approaches for greater efficiency and sustainability across the entire network.
AI-based transport planning for higher efficiency across the entire network
The automotive industry is under pressure: volatile supply chains, ESG requirements, and rising costs call for new strategies. In this episode, we show how AI-supported tactical and operational transport planning helps OEMs and suppliers reduce costs, create transparency, and increase supply security—including practical examples and potential savings.
Reduce transport costs with AI-based route planning & integrated freight rate selection
Reduce your transportation costs by up to 20% with AI-powered route planning and automated freight rate selection. In our latest episode, we show you how to reduce costs, lower emissions, and make your processes more efficient. Experience a live demo of the S2data Platform and learn how leading companies are already automating their logistics today.
AI-supported MRP and transport planning
In this episode of our Logistics Series, we show how AI can be used to maximize efficiency in transport planning processes such as network optimization or MRP inbound optimization in the automotive industry. This not only reduces costs, but also fully automates processes.
AI-based optimization tools as a smart addition to SAP TM
The episodes shows how companies can use an AI add-on for SAP TM to optimize their transport planning holistically and simultaneously, thereby reducing costs and CO₂ emissions, avoiding empty runs, and operating up to 25% more efficiently—without system disruption.
Holistic transport planning with AI - benefits for manufacturing companiess
You will get a overview of the principles of integrated transport planning. We will also present the S2data platform, show how to create a solid database and achieve system integration, and illustrate this with practical examples from logistics.
Automotive inbound logistics optimization with ai
Classic planning approaches in transport logistics are reaching their limits because efficiency potential is going untapped. Artificial intelligence and data-driven decisions enable smarter, more sustainable logistics that lower costs, reduce emissions and keep companies competitive.
TCO in Logistics – Maximize supply chain efficiencies with capital analysis
Analyzing the total cost of ownership (TCO) in inbound logistics offers great potential for optimization, particularly by taking into account capital lock-up costs and individual strategies for different inventory levels. Successful projects by Miebach and the use of AI-based tools from S2data show how companies can reduce costs, cut emissions and compensate for production fluctuations in real time.
Transport optimization with AI – How a holistic planning approach reduces costs and increases efficiency
Experience a live demo of how our user-friendly software with AI-based automatization optimizes logistics, reduces costs and improves planning processes. Practical examples, success stories and an interactive Q&A session provide valuable insights into the application and advantages of this technology.
Innovative Logistics – Automated Load Space Optimization Explained
Find out how modern software solutions and automatization are revolutionizing load space optimization in logistics, reducing costs and making processes more efficient. A live demo, practical examples and an interactive Q&A session will give you valuable insights into how these technologies are used.
Automotive logistics meets AI – How to cut transport costs and CO2
AI optimizes routes, load spaces and inventory management, reduces costs by up to 25% and CO₂ emissions in inbound logistics by up to 20%. Real-time transparency, forward planning and automatization make logistics easier, increase efficiency and strengthen competitiveness.