Mergers and Acquisitions

Eliminate redundancy and drive efficiency with optimizations that could make the difference between M&A success or failure.

Challenge:

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 cause less efficiency than originally thought.

Solution:

The llama.ai platform lets you see beyond the current supply chain operation constraints, enable new synergies and reduce savings and risks. Build digital supply chain models to evaluate performance, identify potential options and alternatives to deliver value and narrow down choices to select the best structure. Then, test 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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