Upcoming Episode
AI in Automotive Logistics
Special transports, low truck utilization, and a lack of transparency in the network: The automotive logistics industry is grappling with challenges that traditional planning tools can hardly solve. On September 29, as part of our Logistics Series, we’ll show how AI brings together operational and tactical planning and supports OEMs and suppliers with automated decision-making. Register now.
Webinar Recordings
From Order to Delivery
Rising material and freight costs are putting pressure on manufacturers of wood, concrete, steel, and modular building components. In this webinar, we’ll show you how to plan transportation more efficiently, increase capacity utilization, and reduce costs sustainably through a smart combination of 3D load planning, route optimization, and AI support.
Reducing Transportation Costs Amid High Diesel Prices.
Record-high diesel prices, rising freight costs, and a driver shortage—in this webinar recording, we show how AI-powered logistics planning can help address these challenges. It includes a real-world use case. In just 30 minutes, you’ll learn specific strategies you can use to actively reduce your transportation costs.
Managing Complex Supplier Inbound
Are fragmented supply streams, tight time slots, and uncoordinated deliveries jeopardizing the stability of your production? In this webinar, we’ll show you how to holistically manage your supplier inbound—with intelligent consolidation, optimized time slot logic, and AI-powered delivery schedules for maximum supply reliability and efficiency.
Milkruns & Consolidation in Volatile Production
Volatile demand can quickly throw traditional milk run and consolidation plans off track—routes become unstable, partial loads increase, and dispatch operations are constantly in rescheduling mode. In this webinar, we’ll show you how to make your transportation planning more robust: from stable milk run structures and targeted consolidation to AI-driven optimization that delivers new, resilient plan variants in seconds when changes occur. So you can stay efficient, fully utilized, and capable of taking action even when production fluctuates.
From inbound to the warehouse. Using AI to create a holistic supply chain.
This episode highlights how inbound transport planning, production processes, and inventory performance are closely interconnected – and why many operational issues arise long before materials ever reach the warehouse. You will gain a practical perspective on how AI‑supported inbound planning and structured production optimization work together to create stable, transparent, and cost‑efficient material flows.
Mastering the Automotive Logistics Network Strategically and Tactically
In this episode, you’ll learn how to use AI to transparently model milk runs, consolidation, and multi-plant planning—and compare scenarios in minutes. Instead of making decisions based on gut feeling, you’ll gain a clear, data-driven approach—from robust milk runs to reliable network options.
Transportation Planning for Oversized and Heavy Cargo
Axle loads, route restrictions, permits, safety regulations, and highly fluctuating volumes make planning a task for specialists. Learn how to model these constraints so that cargo space and weights are accurately represented—and your pricing decisions remain robust despite volatility.
MRP is not a transport plan: Here's how to turn release orders into inbound shipments
MRP generates demand, but not yet transportable shipments. This is exactly where partial loads come into play. In this episode, we’ll show you how to convert MRP calls into transport-optimized inbound shipments. You’ll learn which data really matters, how to accurately reconcile “plan vs. reality,” and how AI helps identify recurring patterns and deviations early on.
Maximum transport capacity in automotive inbound logistics
In our 30-minute webinar, we’ll show you why traditional planning approaches are no longer sufficient and how AI-powered transport optimization reduces costs and maximizes capacity utilization. Join us for a live demo of the S2data Platform and discover actionable strategies for improving efficiency and sustainability across your entire network.
Transportation Planning for Greater Network Efficiency
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-powered tactical and operational transportation planning helps OEMs and suppliers reduce costs, improve transparency, and enhance supply chain resilience.
Reduce transportation costs: AI-based route planning & freight rate selection
Reduce your transportation costs by up to 20% with AI-powered route planning and automated freight rate selection. We’ll show you how to cut costs and emissions while making your processes more efficient. You’ll also get a live demo of the S2data Platform and learn how leading companies are already automating their logistics.
AI-powered MRP and transportation planning
In this episode of our Logistics Series, we’ll show how AI can be used to maximize efficiency in transportation planning processes such as network optimization and MRP inbound optimization in the automotive industry. This not only reduces costs but also fully automates these processes.
AI-based optimization tools as a smart addition to SAP TM
This episode demonstrates how companies can use an AI add-on for SAP TM to holistically and simultaneously optimize their transport planning, thereby reducing costs and CO₂ emissions, avoiding empty runs, and operating up to 25% more efficiently—without any system disruption.
Comprehensive Transportation Planning with AI
Get an overview of the principles of integrated transportation planning and the benefits it offers manufacturing companies. We’ll also introduce the S2data platform, demonstrate how to build a solid data foundation and achieve system integration, and illustrate these concepts with real-world examples. You’ll learn how to improve both environmental and economic efficiency.
Optimizing Inbound Logistics in the Automotive Industry with AI
Traditional planning approaches in transport logistics are reaching their limits, as opportunities for efficiency gains remain untapped. Artificial intelligence and data-driven decision-making enable smarter, more sustainable logistics that lower costs, reduce emissions, and keep companies competitive.
TCO in Logistics – Maximizing Supply Chain Efficiency Through Capital Analysis
Analyzing the total cost of ownership (TCO) in inbound logistics offers significant potential for optimization, particularly by taking into account capital tie-up costs and tailored strategies for different inventory levels. Successful projects by Miebach and the use of AI-based tools from S2data demonstrate how companies can cut costs, reduce emissions, and balance out production fluctuations in real time.
Reduce transportation costs and boost efficiency with AI
Join us for a live demo to see how our user-friendly software uses AI-based automation to optimize logistics, reduce costs, and improve planning processes. Real-world examples, success stories, and an interactive Q&A session will provide valuable insights into how this technology works and the benefits it offers.
How Automatic Cargo Space Optimization Works
In this webinar, we’ll show you how modern software solutions and automation are transforming load space optimization in logistics. You’ll learn how to reduce transportation costs and streamline processes. A live demo, real-world examples, and an interactive Q&A session will give you concrete insights into how these technologies are used in practice.
Automotive Logistics Meets AI
You’ll learn how to reduce transportation costs and CO₂ emissions. AI optimizes routes, cargo space, and inventory, cutting costs by up to 25% and reducing CO₂ emissions in inbound logistics by up to 20%. Through real-time visibility, predictive planning, and automation, logistics processes become simpler, more efficient, and more competitive.