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Digital Should-Cost Analysis: How to Unlock Savings and Value with AI-Powered Modeling Tools

Digital Should-Cost Analysis How to Unlock Savings and Value with AI-Powered Modeling Tools

There’s value, and there’s price. Closing the gap between the two to determine total cost of ownership is the challenge every organization faces. Should-cost analysis helps you determine value more accurately by breaking down the component parts of a cost. And today, it can be done more effectively than ever before, thanks to powerful AI technology that can aggregate and process data from multiple sources.

In this webcast presented by SIG and GEP, experts in should-cost modeling reintroduce the concept as a digital solution and explain why it’s rapidly gaining traction as a way of optimizing the enterprise value chain.

Key Discussion Points

  • Why a centralized digital should-cost solution outperforms traditional modeling methods
  • How AI analysis of data provides deep cost insights and accommodates large data volumes
  • How to set up and manage digital cost modeling as a center of excellence
  • The real value of digital should-cost analysis: supplier relationships, negotiations, savings