Supply chain cost-to-serve analytics software allows businesses to gain deep insights into the costs involved in bringing a product to market, shipping it, and planning the costs associated with the supply chain activities for that product. The solution offers an extensive overview of data, from the initial creation of the product to its delivery.
A supply chain cost-to-serve model involves forecasting expenses across a product's lifecycle, including transportation, production, distribution, and taxes or duties, to help procurement and product managers optimize supply chain planning.
To avoid a time-consuming, and often manual, cost management process, vendors have created these streamlined solutions. Leveraging supply chain cost-to-serve analytics enables businesses to make data-driven decisions. They can apply real-time insights to optimize the cost of serving each product and customer within their network.
To qualify for inclusion in the Supply Chain Cost-To-Serve Analytics category, a product must:
Analyze cost data for shipping and production
Provide expense and profit insights associated with product lifecycles
Offer visibility into a portfolio of products
Forecast costs of customer demand