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January 3, 2023
Sophus Launches Workbench for Streamlined Modeling and Planning
streamlined modeling and planning

Sophus Technology Inc is proud to announce the release of its latest product extension Workbench. Workbench is a powerful tool designed to reduce the complexity of using supply chain design and planning models.

Workbench enables users to configure modeling elements in one collaborative platform and build out a workflow. Once the workflow is built out, planners can use the model and generate outputs without having to get into the actual model themselves. This makes it easier and more efficient for supply chain teams to design and plan their operations, saving time and resources while improving accuracy and reliability.

“We are excited to release Workbench to the market,” said Rengpeng Yue, CEO of Sophus Technologies. “Our team has been working hard to develop a product that simplifies the supply chain modeling and planning process. With Workbench, we are providing our clients with a tool that streamlines their operations and enables them to make more informed decisions.”

Sophus Technologies has a long history of delivering innovative and reliable supply chain solutions to its clients. The company’s commitment to excellence is evident in its extensive portfolio of product capability, which includes inventory optimization, network design, transportation planning, and so on.

Workbench is the latest addition to this portfolio, providing supply chain professionals with a powerful tool that simplifies the modeling and planning process. By enabling users to configure modeling elements and build out a workflow, Workbench makes it easier to generate accurate and reliable outputs, improving supply chain efficiency and ultimately enhancing business performance.

For more information on Workbench and Sophus Technologies’ supply chain solutions, please visit the company’s website at test.sophus.ai

About Sophus Technology Inc

Sophus is in the business of developing end-to-end supply chain modeling platforms, with a structured and standardized data model that fits all industries and use cases, minimizing the need for customization and coding.

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Author

Byron Song
Byron Song has over a decade of experience in supply chain network design and optimization, working with manufacturers, retailers, and 3PLs worldwide. At Sophus.ai, he leads the development of AI-powered tools that help organizations design, simulate, and optimize logistics networks faster and with greater accuracy. His work has enabled clients to cut network-design lead times by 50% and achieve double-digit cost reductions through smarter scenario planning.

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