Case Study Metrics Predictive Analytics Procurement 
ThroughPut
APRIL 30, 2024
ThroughPut AI: For Making Intelligent Decisions Across the Supply Chain Watch On-demand Demo ThroughPut AI has been recognized as a Leading Vendor in the prestigious 2023 Gartner Market Guide for Analytics and Decision Intelligence Platforms in Supply Chain. The platform primarily helps predict demand and improve customer experience.
Supply Chain Shaman
OCTOBER 13, 2022
On this tour, I heard Jeff Ma, a former member of the MIT blackjack team, speak on the use of analytics to make better decisions in “beating the house.” In the world of supply chain management following 33 months of disruption, this is not the case. The outcomes are less predictable or clear. We are re-writing the rules.
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SCMDOJO
JANUARY 23, 2023
If you want to gain more supply chain analytics knowledge, you’re in the right place. We’ve compiled a list of 10 great supply chain analytics books to help you better understand the concepts and strategies behind this vital business field.
Supply Chain Shaman
FEBRUARY 25, 2016
Analytical innovation and digital transformation drove step-change capabilities within the office and marketing. The traditional supply chain is inside-out, triggering processes on the back of order-to-cash and procure-to-pay financial processes. As a result, many companies are struggling. Leadership teams are uncomfortable.
American Global Logistics
SEPTEMBER 12, 2023
It involves coordinating and integrating various activities, from procurement to production to distribution, to ensure the seamless flow of goods and services. Big Data analytics Artificial intelligence and machine learning enable predictive analytics and demand forecasting, facilitating better decision-making.
MIT Supply Chain
NOVEMBER 5, 2020
Another manufacturer has deployed eight bots in areas such as procurement planning. Several companies at the roundtable pointed out that established supply chain metrics such as on-time delivery can also be used to evaluate bot performance. Information on this predictive analytics event is available here.
IQMS
JULY 11, 2019
McKinsey also found that AI-enhanced predictive maintenance of industrial equipment will generate a 10% reduction in annual maintenance costs, up to a 20% downtime reduction and 25% reduction in inspection costs. Analytics and MI-driven process and quality optimization are predicted to grow 35% and process visualization and automation, 34%.
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