Accenture is expanding its machine learning and operations analytics capabilities by acquiring OPS Rules, a boutique analytics consulting company, specializing in the application of data science to create supply chain and operations analytics solutions.
Serving clients in the consumer packaged goods, high-tech, life sciences and industrial sectors, OPS Rules provides multi-echelon inventory optimization, custom supply chain analytics, supply chain risk management and dynamic pricing services to help companies improve operations and enhance business results.
About OPS Rules
OPS Rules is led by David Simchi-Levi, a Professor of Engineering Systems at the Massachusetts Institute of Technology (MIT) and renowned supply chain and operations analytics expert. Simchi-Levi and his team will join Accenture Analytics, part of Accenture Digital, and will also be a part of Accenture’s Data Science Center of Excellence, an innovation team that focuses on solving immediate and complex client problems through advanced analytics approaches, including machine learning, deep learning, text analytics and more.
OPS Rules helps clients achieve new levels of revenue, margin and global efficiencies through world-class, multi-echelon operations analytics.
Using proven end-to-end optimization models, Ops Rules deploys advanced world-class analytics that reveal existing and potentially superior supply chain behaviors, helping clients re-invest early project gains into growing their internal organizational analytic competencies.
Supply Chain Analytics
Through the Ops Rules analyze/innovate/transform approach, clients achieve significant results, and transfer the knowledge and skills to the team for continuous optimization and improvement through the supply chain and operations.
Increasing customer, product, and channel complexity creates a costlier supply chain. Analysis provides visibility into the true incurred costs in supporting a product portfolio with numerous low-volume, high-variability, low margin products.
While there has been progress, optimizing across the supply chain on an ongoing basis has been challenging. Modeling the entire supply chain, and optimizing inventory, can lead to significant efficiencies and improved customer services.
Supply Chain Risk Management
Managing and mitigating risk in your supply chain should be a priority for any organization. Knowing your level of exposure using our proprietary Risk Exposure Index™ helps companies identify trouble spots and create reliable strategies for mitigating them.
Advanced Supplier Management
Nearly every major company experiences one or more significant supply disruptions each year; demand, pricing, weather, personnel and many more. Our two-fold approach helps address disruptions with early detection, rapid resolution, and continuous improvement.
Supply Chain Segmentation
Over time, supply chain strategy and the customers being served can change, resulting in higher costs and decreasing service levels and customer satisfaction. With a clear understanding of your customer and value proposition, you can develop new models that better match their needs.
Consumer Packaged Goods/Retail
Our deep-rooted analytics expertise in dynamic pricing & markdown analytics, assortment optimization and supply chain segmentation, helps clients solve a wide array of business challenges in the consumer packaged goods and retail industries.
High Tech & Communications
The fast moving High Tech industry has unique challenges in controlling product proliferation and complexity. Our analytics expertise helps to better understand and reducing reduce the drivers of complexity and cost.
Manufacturing companies face many challenges. We help clients reduce complexity and better manage their risks through innovative ideas and a deep understanding of industry analytics best practices.
The pharmaceutical and medical device industry needs to transform in order to win. Continuous improvement programs, like Six Sigma, are helpful, but often insufficient. We find that transformation is enabled by well-conceived changes to operations strategies.
What's next for S&OP?
By: Jay Jayaraman, Dinesh Natarajan, Mike Romeri and Tom Zych
Sales and Operations Planning (S&OP) is a process that has been deployed primarily to align different functions around the best plan they could identify, working together as collaboratively as possible. Many standard and emerging analytic techniques can be employed to supercharge performance and optimize S&OP decision making.
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