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 is the method of breaking down the component parts of a cost to determine the most accurate value possible. And today, it can be done more effectively than it ever was before, thanks to powerful AI technology that can aggregate and process data from multiple sources.
In this webinar presented by SIG and GEP, experts in should-cost modeling will reintroduce the concept as a digital solution and explain why it’s rapidly gaining traction as a way of optimizing the enterprise value chain.
On the Agenda:
- 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
Don’t miss this opportunity to learn how AI technology can create a self-sustaining engine powering decision-making and impactful cost reduction.