AI-based transportation planning for greater efficiency across the entire network

The latest episode designed for logistics experts in the automotive industry.

Content:

The automotive industry is under enormous pressure to improve its efficiency: sales fluctuations, ESG requirements, volatile supply chains, and rising costs are forcing OEMs and suppliers to rethink their logistics strategies. Transportation planning in particular—often characterized by siloed structures, manual processes, and a lack of transparency—offers enormous potential for optimization.

In the upcoming episode of our Logistics Series, we’ll show how innovative automakers and suppliers can achieve significant savings while increasing their delivery and production reliability through AI-powered tactical network planning combined with operational transportation planning.

Part 1 – Industry Overview & Challenges:

Typical challenges in transport planning: Manual scheduling, fragmented master data, last-minute rescheduling
Impact on total cost of ownership (TCO), production capacity utilization, inventory levels, and CO₂ emissions
Why tactical and operational planning must be considered together

Part 2 – Solution with the S2data Platform:

MRP Inbound Optimization: Automated consolidation of delivery calls, holistic planning considering TCO, warehousing, and transportation costs
Network Optimization: Dynamic planning of FTL, LTL, milk runs, and groupage with up to 15% cost savings
Tactical and Operational Deployment: The Benefits of a Holistic Approach to Transportation Planning
Real-World Use Cases: OEMs & Tier-1 suppliers demonstrate how AI-powered planning achieved up to 29% higher utilization and seven-figure savings