Tactical & strategic network optimization
AI-Powered supply chain planning
from supplier to customer
References
Industry leaders optimize their networks monthly
Benefits
Continuously optimized for greater efficiency across the entire network
A smartly designed network with optimal freight rates determines costs, service levels, resilience, and sustainability. With the S2data Platform, you can maximize capacity utilization, reduce empty runs, and align rates, frequencies, and hubs with your TCO. Measurable, scalable, and quick to implement.
Ongoing Optimization, Resilience, and Predictability
−17.5% total costs across the network
Network optimization or new projects
Product Features
Your AI for an efficient transportation network
Network-wide consolidation at material level
- Aggregation of shipments across locations and suppliers for optimal consolidation by lane
- Selection of FTL, LTL, milkrun, or groupage based on the best total cost of ownership (TCO) while taking relevant restrictions into account
- Use of proven network designs such as cross-dock, hub-and-spoke, and milk run for efficient flows
Detailed TCO across logistics and inventory
Simultaneous evaluation of freight rates, distance and time factors, as well as storage and capital tie-up costs
Incorporating service levels into the optimization logic
A TCO-based decision-making framework rather than pure freight cost optimization, in line with modern supply chain design guidelines
Optimize FTL, LTL & milkrun Shipments
Scheduling of delivery frequencies and milkruns, as well as flexible combinations of FTL, LTL, and groupage based on volume profiles
Use of typical freight rates from industry benchmarks (e.g., groupage, LTL, FTL)
Scenario-based validation and fine-tuning for optimal design
Carrier selection & bid support
Scenario-based determination of the optimal carrier and service level per lane
Mapping of billable tender cases, including rate logic and export files for freight procurement platforms
A best-practice-oriented approach to data-driven carrier selection and negotiations
Scenario simulation
- Conducting “what-if” analyses for combinations of locations, routes, and carriers
- Evaluation of frequencies and fares under varying demand scenarios
- Supporting resilience and S&OP decisions within the tactical planning horizon
CO₂e‑methodology & decision-making criteria
Breakdown of emissions by lane, mode of transport, and hub
Calculation in accordance with EN 16258
Linking cost and emission targets in network scenarios
Success Story
Detailed load space planning at AVI
AVI combines tradition with innovation: Through the comprehensive digitization and automation of key processes, transportation planning has been fundamentally transformed. As a result, operations now run significantly faster and more efficiently. At the same time, valuable expert knowledge is preserved and made centrally available to the entire team.
IT-Integration
Quick and easy connection
Our cloud-based application offers seamless integration, eliminates IT challenges, and uses API/EDI to securely transfer the critical data needed to develop a customized transportation plan for your business. This plan integrates effortlessly with your ERP system, streamlines operational processes, and enhances both the efficiency and cost-effectiveness of your supply chain.
FAQs
What is the difference between strategic and tactical network optimization - and how does S2data combine the two?
Strategically, you design the structure (locations, hubs, mode selection); tactically, you determine the scheduling (frequencies, carrier mix, fares, delivery patterns). To achieve full efficiency, it is recommended to integrate both levels using data and scenarios: strategic decisions are supplemented with granular, tactical components to ensure that planned networks also perform effectively in practice.
How do freight rates factor into the optimization process?
The software retrieves data directly from the connected TMS, or the data can be imported manually, for example via an Excel import.
Hub-and-spoke, cross-dock, milkrun, when do you use which model?
This depends on volume, frequency, geography, and service requirements:
Hub-and-spoke consolidates line-haul volumes and distributes them efficiently across regions; ideal for high volumes and regular departures. Cross-docking minimizes dwell time and inventory through flow-through. Milk-run serves multiple nearby delivery points/suppliers on fixed routes—particularly effective for automotive inbound logistics. S2data simulates these models using scenario-based analysis and selects the option with the lowest TCO for each market.
Groupage vs. FTL/LTL – Are There Guidelines for Making the Choice?
A common rule of thumb is 1–6 pallets (groupage), 6–12 (LTL), and 12+ (FTL). The break-even point varies by lane, rate, and service level; many carriers view the 8–12-pallet range as a critical threshold. S2data calculates the cost-optimal mix for each lane and time period.
What results are realistic?
Typical benefits include lower costs and CO2 emissions due to higher load factors, fewer vehicle trips, shorter dwell times, and more stable service level agreements (SLAs). Specific KPIs depend on the network, vehicle mix, and operational constraints. We’d be happy to discuss the details further in a brief call.
Contact us
Sign up for a no-obligation preview of our AI software or to discuss transport optimization. We’ll get back to you shortly with relevant information or suggested dates.
Data security in accordance with European standards
