Leveraging Real-Time Data Across an Automotive Manufacturers Value Chain

In this white paper we survey the automotive industry landscape and propose the value proposition delivering a build-to-order solution, we discuss the challenges to transitioning to a build-to-demand strategy, and we examine the key enablers for build-to-demand.

A true demand-driven supply chain (DDSC) has long been the Holy Grail of automotive original equipment manufacturers (OEM).

Even when forecasts are finely tuned, an unexpected spike or drop in demand can wreak havoc on production schedules, market forecasts, sales plans, and supply plans.

This leads to problems such as stock outs and lost sales, inventory pileups, poor capacity utilization, and declining revenues.

Today, these margin-sappers are increasingly avoidable thanks to One Network’s (ONE) recent advances in cloud-based network technology that finally make the DDSC a reality.

This network technology is called the Real Time Value Network.

The Real Time Value Network is the single biggest development in supply chain technology since ERP or ecommerce.

It is an extremely responsive cloud-based network where information lead times are virtually eliminated and physical lead times are minimized.

The Real Time Value Network enables enterprises to precisely model and connect the various nodes in the automotive OEM value chain.

It relies on a patented horizontal grid processing architecture that allows it to manage the millions of daily transactions and data points generated by today’s global value chains.

Designed specifically as a true multi-tenant software-asa- service (SaaS) solution for multi-enterprise or many-to-many shared computing environments, the Real Time Value
Network combines a business process-centric software architecture with a highly scalable network - improving operating effectiveness, lowering IT costs, and accelerating
system adoption rates.

The result? A shortened time to value.

ONE’s expertise in DDSN delivers its customers increased value by understanding the cross functional impact between demand, supply and logistics.

Each service can be deployed as a “best of breed” point solution-leveraging information from internal systems and external partners’ legacy applications to optimize the result.

At the same time the entire supply network can be represented, providing end-to-end visibility, analytics, reporting, and alerts with exception driven workflows.


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