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ToolsGroup and Evo: Bringing Prescriptive Analytics and Quantum Learning to Industry-Leading Retail Planning

ToolsGroup

EvoAI was built on two guiding principles that distinguish it from other retail planning tools: Prescriptive analytics Quantum learning Innovation Through Analytics EvoAI is a prescriptive, not predictive tool. Retailers have long used business analytics to inform decision-making. First in always-on inventory analytics.

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The Big Supply Chain Analytics Failure

Supply Chain Shaman

New forms of analytics abound. Supply chain leaders struggle with the adoption and use of new forms of analytics. Only one in two are satisfied with their success in using analytics. Analytics Success by Business Leaders. The post The Big Supply Chain Analytics Failure appeared first on Supply Chain Shaman.

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The Big Supply Chain Analytics Failure

Supply Chain Shaman

New forms of analytics abound. Supply chain leaders struggle with the adoption and use of new forms of analytics. Only one in two are satisfied with their success in using analytics. Analytics Success by Business Leaders. Embracing them is a different story. Data abounds while insights are low.

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Give Analytics A Chance

Supply Chain Shaman

We cannot change things overnight, but there are some steps that we can take through the use of advanced analytics. Invest in analytics to sense and translate demand. While new analytics possibilities exist, business leaders’ understanding of how to use them is limited. Build capabilities to manage planning master data.

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How Data Analytics Can Solve the Challenges Faced by SC Leaders in Discrete Manufacturing

Supply chain analytics creates new insights that help improve supply chain decision making from the improvement of front-line operations to strategic choices, such as the selection of the right supply chain operating models.” – McKinsey & Company. Difficulty forecasting demand due to constant supply chain disruptions.

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The Big Supply Chain Analytics Failure

Supply Chain Shaman

New forms of analytics abound. Supply chain leaders struggle with the adoption and use of new forms of analytics. Only one in two are satisfied with their success in using analytics. Analytics Success by Business Leaders. Embracing them is a different story. Data abounds while insights are low.

article thumbnail

Give Analytics A Chance

Supply Chain Shaman

We cannot change things overnight, but there are some steps that we can take through the use of advanced analytics. Invest in analytics to sense and translate demand. While new analytics possibilities exist, business leaders’ understanding of how to use them is limited. Build capabilities to manage planning master data.

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The Essential Guide to Modern Supply Chain Analytics

Succeeding in this environment requires a modern approach to data – one that continuously funnels real-time information from suppliers, partners, warehouses, and stores to analytics for instant insights that enable immediate, informed action. 4 ways Active Intelligence transforms supply chains. 4 customer success stories.

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5 Steps to a Smart Supply Chain

times more likely to take advantage of analytics. Industry leaders are 3.5 This drive toward intelligent business is redefining how organisations need to operate if they hope to be successful.

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Rethinking Supply Chains for Greater Efficiency, Resiliency, and Sustainability

Read the new GEP-sponsored report by Harvard Business Review Analytic Services for strategies and digital solutions to achieve these goals. Supply Chains have 3 key priorities: building resiliency, reducing costs and driving ESG performance.

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Common Use Cases for Mathematical Optimization

Mathematical optimization is a subset of artificial intelligence and a type of prescriptive analytics. How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions and build more resilient supply chains? What are some of the most common use cases for mathematical optimization across industries?

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Guide to Mathematical Optimization & Modeling

Today, a growing group of analytics teams and data scientists are adopting mathematical optimization to support business decision-making in a wide range of industries. Want to find out where optimization falls in the broader AI and business analytics spectrum. Learn all about this AI technique and how it can help your organization.

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New Research: The State of Supply Chain Network Design in 2022

Advanced analytics & Scenario Modeling. This report explores how the state of supply chain network design has changed – including how the tools, maturity models, and market demands are transforming the network design practice. This report is useful if you are interested in: Exploring new network design insights and capabilities.

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Hype Cycle for Supply Chain Strategy, 2020

Read the latest insights on AI, IoT, network design, machine learning, prescriptive analytics and other hot technologies. Find out what's essential to supply chain excellence. Research insights on new technologies. Vendors you can work with. Vendors recognized in the report. -->

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5 Powerful Prescriptive Analytics Examples in Supply Chain

Prescriptive analytics is a type of advanced analytics that optimizes decision-making by providing a recommended action. Supply chain, with its complex planning questions, is typically an area where optimization technology is required. Read about 5 use cases. Supply Chain Network Design. Sales and operations planning (S&OP).