Supply Chain
The supply chain is one of the main drivers of both costs and CO2 emissions. Supply Chain and Operations leaders must now contend with growing uncertainties: energy crises, regulatory inflation, competitive pressure, new logistics flows, and environmental requirements. Optimization solvers are key allies to efficiently plan resources, streamline flows, and strike the right balance between cost, quality of service, and sustainability.
-30%
Logistics Costs
-20%
CO2 Emissions
÷5
Planning time
Challenges and Issues
- Rising complexity: booming volumes (e-commerce), increasing environmental and regulatory constraints, fragmentation of delivery points
- Uncertainty and volatility: interdependence between stakeholders, intermodal synchronization, fluctuations in supply and demand
- Margin pressure: high operational costs and intense competition driving constant trade-offs
- New distribution models: growth of convenience retail, limited storage space, frequent replenishments
- Customer experience and service level: demand for logistics that are fast, reliable, and flexible
- Disruption management: ability to react with agility to disruptions (shortages, delays, crises)
- Balancing inventory and demand: limited visibility and the need for continuous re-optimization
Use Cases Covered
- Optimization of transport plans and vehicle routing
- Improved product slotting and order picking in warehouses
- Consolidation and massification of transport flows
- Optimization of transshipments and cross-docking operations
- Network design, fleet sizing, and allocation of service areas to branches
- Planning and organizing multimodal transport (rail, road, sea, air…)
- Optimization of inbound and outbound flows, from first to last mile
- Preparation of carrier tenders and transport rate negotiations
- Optimization of palletization and 3D truck/container loading (heterogeneous products, oversized, bulk, pallets)
- Optimized inventory management and reduced out-of-stocks
Benefits
- Reduced logistics costs: fewer vehicles, fewer kilometers, better resource allocation
- Lower carbon footprint: reduced CO2 emissions, less pollution and congestion in urban areas
- Maximized filling rates: fewer empty runs, fewer leftovers at docks
- Improved productivity: shorter preparation times, automated processes
- Automated and reliable planning: fewer complex, time-consuming tasks, reduced risks and human errors
- Resilience to disruptions: dynamic re-optimization in case of disturbances
- Enhanced quality of service: better punctuality, availability, and customer satisfaction
