Cost-to-Serve (CTS) provides a business modeling framework to inform ongoing profitability analytics and decision making support. Cost-to-serve solutions must deliver the detail necessary to understand the true costs associated with servicing your customers, products, and vendors – and end-to-end visibility into the drivers of cost is essential.
Objective measurement of cost and profitability to provide a basis for management consensus and decision-making.
Transparency to operational costs and drivers to inform route-to-market and network design decisions.
End-to-end supply chain cost visibility to identify possible tradeoffs.
Predictive modeling to inform go-to-market and pricing strategies for new and existing products.
With Deloitte reporting that 93% of companies working on ways to get better cost data, you’re likely trying to identify better methods to explore and analyze cost results. Learn how companies leverage data from ERP and other systems to connect product costs and post-production costs to provide visibility into overall profit performance.
Hear examples highlighting the importance of accurately calculating and allocating costs at each post-production stage to unlock true profitability analytics, best practices for identifying drivers, building rates, and allocating overhead costs for post-production and cost-to-serve processes, and insights and advices on how finance teams can establish a robust analytics program to evaluate performance at any business dimension.