Mergers and Acquisitions

Eliminate redundancy and drive efficiency with options that optimize the combined entity’s supply chain and could make the difference between M&A success or failure.

Challenge:

A staggering three-quarters of all merger and acquisition (M&A) initiatives fail to meet executive and shareholder expectations. Converging networks and processes present an incalculable number of options for how the newly formed organization’s supply chain will operate. The inability to consider all the synergies and redundancies within the end-to-end supply chains of both companies can ultimately reduce profitability and leave the newly formed entity with far less efficiency than originally thought.

Solution:

The llama.ai platform lets you look beyond the constraints and existing design of each entities current supply chain operation enabling new synergies, savings -and risk reduction. Build digital models of your supply chain to evaluate performance, identify options with the most potential to deliver value, identify alternatives and narrow down choices to select the best structure, then test multiple scenarios to predict the performance of the new organization.

  • Compare alternative M&A targets
  • Analyze the most effective strategy for entering a new market
  • Accurately predict cost savings and operational efficiencies to share with executives, board, and investors
  • Identify capacity requirements and product flow volumes

Create the best supply chain operational synergies to deliver the highest value combined enterprise.

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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