Many supply chain networks evolve from individual decisions made over extended periods to satisfy specific business needs. These siloed decisions create inefficiencies that compound over time. Infrastructure changes are costly to reimage, but making them can drive costs down and enable improved customer experience. The challenge is diagnosing your supply chain’s current state, then identifying and making a case for changes that ensure your facilities are sized right, and in the best locations to enable companies to meet customer demands at the lowest cost for the desired service level.
The llama.ai platform gives you end-to-end supply chain perspective so you can quickly pinpoint areas of inefficiency to offer solutions to create the network you want. Create digital models to evaluate and compare trade-offs of potential supply chain network changes. By modeling in a no-risk environment, you can make high-stakes capital expense decisions with confidence. Use network optimization tools to determine use cases for existing or new infrastructure and develop strategies to launch new products and position inventory in the supply chain. Understand the impact of entering and exiting new markets by developing a comprehensive plan to ensure your supply chain has the right capacity and capabilities to deliver effective support. And empower your business strategy with in-depth, comprehensive information to get better outcomes more quickly.
- Determine the optimal number of facilities and locations to meet customer demand. Use your existing network or start a greenfield evaluation
- Understand the costs and constraints of your existing network and new facilities
- Evaluate network capacity and determine a long-term strategy for facility location and sizing, using different demand projections
- Make data-backed facility rationalization and close decisions by evaluating labor, facility, and transportation trade-offs