4%
value chain cost savings
SHAiPE: the LTPlabs framework
Set the Decision
Define network scope
footprint redesign, new locations, capacity allocation, flow optimization
Align on strategic scenarios
growth, resilience, channel shifting
Highlight what matters
Map current network, quantify baseline performance and pain points
sites, flows, costs, capacities
Integrate multi source data and identify key value drivers cost, service, CX, resilience
Define success metrics
service level, capacity utilization, cost-to-serve, CO2 footprint
Augment with AI
Simulate network scenarios to assess performance under varying demand and constraints and find the best suiting network
- DataDemand scenariosCapacity constraintsCost structureCustomer experience driversMarket strategyAI ModelOutputsService levelExpected costsCapacity usage
Prototype your solution
Run what-if scenarios, focusing on on-going operational challenges: new sites, closures, shifts in demand, etc.
Evaluate economic outcomes and anticipate customer service impact
Expand to scale
Translate scenarios into actionable roadmap
Deploy and integrate decision-support tools into strategic & tactical planning processes
Enable continuous re-optimization of the logistics footprint as demand, costs, and operational constraints evolve
Nutshell
What this means for your business
Optimized cost-to-serve and improved service levels through data-driven network footprint and flow decisions
Increased resilience and adaptability with scenario-based network design and dynamic reconfiguration
Enable fact-based investment decisions and align network strategy with market dynamics, balancing cost, service, and risk trade-offs
InsightsConteúdo
Conteúdo
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