5 Powerful Prescriptive Analytics Examples in Supply Chain
AIMMS
MARCH 3, 2022
The post 5 Powerful Prescriptive Analytics Examples in Supply Chain appeared first on AIMMS.
AIMMS
MARCH 3, 2022
The post 5 Powerful Prescriptive Analytics Examples in Supply Chain appeared first on AIMMS.
Supply Chain Shaman
OCTOBER 25, 2021
For example, “Why is it so difficult to get a container unloaded?” 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. New forms of analytics can help to accelerate outcomes within organizations.
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Supply Chain Shaman
OCTOBER 25, 2021
For example, “Why is it so difficult to get a container unloaded?” 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. New forms of analytics can help to accelerate outcomes within organizations.
River Logic
MARCH 18, 2020
To illustrate the point, a recent paper from Ventana Research on supply chain planning revealed issues that companies using spreadsheet planning have experienced, including:
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The world’s favorite applications use predictive analytics to guide users—even when they don’t realize it. No wonder predictive analytics is now the #1 feature on product roadmaps. By embedding predictive analytics, you can future-proof your application and give users sophisticated insights.
The Logistics & Supply Chain Management Society
APRIL 26, 2022
The Role of Digitisation and Analytics in Supply Chain Resilience. Analytics for Diversifying the Supply Base. For example, many companies gain visibility into the reliability of suppliers through traditional KPIs such as credit ratings and geographic concentration. Digital Supply Chain to Drive Resilience.
SCMDOJO
APRIL 4, 2023
Luckily, supply chain analytics is here to help! By harnessing the power of data and analytics, companies can uncover valuable insights into their supply chain processes, pinpoint areas in need of improvement, and make informed decisions that can boost their bottom line. Key Takeaways What is Supply Chain Analytics?
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Just by embedding analytics, application owners can charge 24% more for their product. Brought to you by Logi Analytics. How much value could you add? This framework explains how application enhancements can extend your product offerings.
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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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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).
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