Case Study Predictive Analytics Procurement 
Talking Logistics
DECEMBER 11, 2014
made that prediction in 2008 (see the Barron’s article What $300-a-Barrel Oil Will Mean for You ). Three years later, he stayed with his $300-a-barrel prediction, but shifted the timeframe to 2020 (see the CBS News article, Another $300 Oil Prediction — and Why This One Matters ). million bbl/d in 2015.” .
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.
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Supply Chain Shaman
APRIL 15, 2020
No doubt about it, we are characters in a supply chain case study searching to define a new normal. Today, we find ourselves in the middle of a risk management case study. Another is looking at hospital bed utilization to predict market baskets. Don’t expect demand to be predictable. Bottom line?
Logistics Viewpoints
MARCH 4, 2021
Digital commerce efficiently requires the digitalization of many customer-facing operations and sourcing and procurement. The First Step: Bring all the data together and ensure analytics and planning can happen on the same platform. . Predictive alerts: will help you prevent potential issues such as stock-out risks.
ivalua
APRIL 12, 2019
Anyway, there were also a couple of very good customer cases studies, but we’ll save those for a future discussion and focus on AI here. Procurement leaders are being given more and more priorities, he said, but there are obstacles in their way that stop them delivering strategic decision making and real value.
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.
ToolsGroup
DECEMBER 1, 2015
Costa , the UK’s largest and fastest-growing coffee shop brand, implemented a demand and replenishment planning system that takes POS data from its unmanned, self-serve coffee stations every 15 minutes to forecast demand, optimize inventory, and generate nightly replenishment proposals for distribution and procurement.
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