Value Chain & Operations

Network Design

Shape a resilient and sustainable value chain footprint by optimizing locations, capacities, and flows

How

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
- Data
  Demand scenarios
  Capacity constraints
  Cost structure
  Customer experience drivers
  Market strategy
  AI Model
  Outputs
  Service level
  Expected costs
  Capacity 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

value chain cost savings

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

Insights