Optimisation for Logistics & CPG
Planning, scheduling, inventory, logistics, resilience.
Archborn builds rigorous optimisation models that reflect real operational constraints, then integrates outcomes into SAP and enterprise workflows so decisions are faster, more consistent and easier to defend.
Designed for SAP-led enterprises
Integration
- SAP S/4HANA, IBP, APO, EWM and TM landscapes
- Data-platform reality, not idealised system maps
- Human decision loops, not black boxes
Outcomes
- Faster planning cycles with explicit constraints
- Better utilisation of scarce capacity
- Improved service with less buffer
Priority optimisation use cases
Production planning and scheduling
We build constraint-aware schedules across lines, shifts and materials, and quantify trade-offs between service, cost and stability.
Expected improvement type: higher throughput, fewer changeovers and better plan adherence.
Inventory positioning and service levels
We model inventory as a multi-echelon network problem across nodes, lead times, demand uncertainty and substitution constraints.
Expected improvement type: improved service, reduced working capital and greater resilience to variability.
Transport, routing and network design
We optimise routes, allocations and network choices under real constraints such as time windows, capacity, carrier rules and disruption scenarios.
Expected improvement type: reduced transport cost, improved on-time performance and better capacity utilisation.