One Network Enterprises, a leader in supply chain network technology, has announced that Nucleus Research, a provider of case-based technology research and advisory services, has ranked the Company as a Leader in the 2020 Supply Chain Planning Technology Value Matrix.
In the report, One Network is acknowledged for connecting its customers with their upstream and downstream partners and suppliers and for providing greater supply chain visibility and intercompany collaboration among the 75,000 participating organizations that leverage its multiparty Real Time Value Network™.
Download the complete and complimentary Nucleus Research Supply Chain Planning report
“Supply chain planning (SCP) vendors aim to provide a holistic view of enterprise status, while One Network, named a Leader in this report, provides a network-based view of the entire trading community with a solution suite that addresses the full scope of its clients’ supply chains. This includes supply and demand planning, S&OP, global logistics management, outbound fulfillment, and inbound supply management,” said Andrew MacMillen, lead Research Analyst on the report.
“In conjunction with its NEO Platform, One Network customers have the option to onboard trading partners for a two-way view into inventory levels, plans, and forecasts, for more effective collaboration. We expect that One Network’s investments in data management and AI agents will help it continue to keep pace with the market’s needs for greater usability and functionality.”
In this Technology Value Matrix, Nucleus evaluated SCP vendors based on their delivery of value to customers through the functionality and usability of the software.
The research is intended to serve as a snapshot of the SCP technology market, help inform customers about how vendors are delivering, and take stock of what can be expected in the future based on present investments.
One Network was also commended for delivering the latest version of its NEO platform, which includes virtual agent technology designed to support autonomous supply chain management by predicting and resolving potential problems.
By combining self-learning forecasting with AI-driven decision making, One Network helps customers work toward creating resilient, autonomous supply chains.
“Today more than ever, the world understands the importance of supply chain performance. We’re honored to be named a Leader by Nucleus Research in both the 2020 Supply Chain Planning Technology Value Matrix and 2019’s Supply Chain Control Tower Technology Value Matrix,” said Greg Brady, CEO, One Network Enterprises.
“We believe that resilience can be permanently architected into the supply network topology, so that collaborative networks can react as a team when disruptions occur, like those impacting all of us today. Our aim is to help companies achieve this – the highest levels of supply network performance. By orchestrating planning and execution across an organization’s departments and its extended network of strategic partners, and by eliminating silos and consolidating data into a unified view, we are helping organizations implement best practices across their entire network, so every participant achieves exceptional long-term value.”
Download Nucleus Research: Control Tower Technology Value Matrix 2019
One Network is the intelligent business platform for the autonomous supply chain management.
Powered by NEO, One Network’s machine learning and intelligent agent technology, this multi-party digital platform delivers rapid results at a fraction of the cost of legacy solutions.
The platform includes modular, adaptable industry solutions for multi-party business that help companies lower costs, improve service levels, and run more efficiently, with less waste.
One Network offers a PaaS solution and developer tools that allow organizations to design, build, and run multi-party applications.
Leading global organizations have joined One Network, helping to transform industries like Retail, Food Service, Consumer Goods, Automotive, Healthcare, Public Sector, Defense, and Logistics.
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