One Network Enterprises Introduces Markets first Demand Driven S&OP

Dallas, TX (PRWEB) January 27, 2012

One Network Enterprises (ONE), a leading provider of demand driven supply chain solutions in the cloud, is introducing the markets first multi-party Demand Driven Sales and Operations Planning (S&OP), Financial Planning and Executive Analytics solution.

Organizations having implemented S&OP today continue to struggle with the limitations or traditional software applications and business processes that do not effectively plan sales and operations across organizations within the enterprise and across their trading partners. To overcome these challenges, ONE is delivering a state-of-the-art demand-driven sales and operations planning (DDS&OP) solution, that aligns goals across the multi-party, multi-echelon value network to help organizations and their trading partners improve their financial plans, revenues, reduce operational costs, and effectively meet their customers needs.

ONEs demand-driven S&OP links S&OP plans to your multi-year strategic initiatives to account for the attainment of desired goals. Furthermore, it uses a single sales forecast at the forward most echelon to derive sales and marketing, distribution, production, procurement and financial plans. The single sales forecast can be shaped jointly with your partners providing a single version of the truth (SVOT) within the enterprise and across trading partners. Once the demand has been shaped and agreed upon the system generates order forecasts for each organization and each node in the multi-party, multi-echelon value network, including multi-tier raw material providers. Based on these orders forecasts, the system calculates distribution, transportation, production, and procurement plans, matches demand and supply, computes and bi-directionally propagates all capacity constraints, and synchronizes the plans for the entire network. ONEs real-time incremental planning and execution capability seamlessly puts the plans in action generating detailed, actionable short-term plans to the execution systems.

Most importantly, ONEs demand-driven S&OP delivers a Directional P&L that analyses profitability based on the revenue plans and operations plans for organization to fully understand the effect of their plans. The objective function of DDS&OP is to maximize the revenue and profit subject to the actionable operations plans for all parties in the value network.

“S&OP inherently is a multi-party, multi-echelon activity. Traditional systems can take months to compute and propagate plans across the value chain. One Networks DD S&OP solution does it in a matter of hours or days engaging seamlessly with all internal and external operations. One Network has proven repeatedly that increased business agility is the key to achieving impressive results,” said Greg Brady, One Networks CEO.

Gaining deeper insights and becoming demand-driven through ONEs DDS&OP enhances an organizations ability to effectively manage the complexities of the modern supply chain, offering a superior alternative to traditional systems.

To schedule a demonstration, call us today at (866) 302-1936 or visit us at

About One Network Enterprises

One Network is the worlds only multi-party, multi-echelon supply chain solution in the cloud. As the leading provider of demand driven supply chain technology solutions, One Networks cloud-based platform enables customers to easily collaborate with all their value chain participants on a single network. With more than 7,000 companies connected, One Networks community based supply chain solutions help customers increase profitability and efficiencies by optimizing their supply chain operations. One Network serves a variety of industries including high tech, retail, consumer products, public sector, automotive, energy, and logistics. Headquartered in Dallas, Texas, One Network also has offices in Europe and India. For more information, please visit

Media Inquiries Contact:

Contact: Sobia Ahmed | Phone: 972-455-3596 | Email: Sahmed(at)OneNetwork(dot)com

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