Risk Mitigation

Plan for disruptions and reduce risk without sacrificing efficiency and driving up costs

Challenge:

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?

Solution:

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

Contingency plans are efficient with the capability to scenarios associated with potential disruptive events. React quickly to new variables with models that enable you to quickly determine the best response.

llama.ai is an AI-enabled enterprise decision platform built exclusively for analysis of the extended supply chain.  It combines three key analytics capabilities into a single platform to accelerate the speed and quality of business decisions with advanced, in-context analytics that span the breadth and depth of the extended supply chain and its specific functions. LLama.ai highlights operational trends, patterns and trade-offs through a centrally accessible supply chain digital twin that continuously pulls and prepares data from the comprehensive supply chain ecosystem.

See Solution Case Study

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