Unexpected events threaten to undermine even the best supply chain designs. Despite times of relative calm, customers desire more choices, fast and uninterrupted service and low pricing. Protecting your supply chain from costly disruptions requires adding capacity and suppliers, shifting to low-cost manufacturing facilities and increasing inventory. However, these actions may increase risk and cost. In a high-stakes environment of volatility and constant change, how can you balance supply chain efficiency and risk reduction?
The llama.ai platform enables you to balance risk trade-offs with the ability to model, optimize and simulate your supply chain network operations. Find the best transportation routes and inventory levels for the current state, then proactively prepare for potential supply chain events. Contingency plans are easier with the capability to run scenarios associated with disruptive events. React quickly to new variables, on the shortest of notice, with models to quickly determine the best response.
- Build digital models of the end-to-end supply chain so you can quickly redesign and re-optimize when forecasted changes or unplanned events occur
- Understand sourcing, product flow paths and revenue impact of disruptions and products that are single-sourced or have a high concentration or reliance on limited providers
- Monitor supply chain performance and quickly identify areas of risk or redundancy for deeper analysis