Supply Chain Shaman
APRIL 29, 2024
I find that most companies’ understanding of supply chain planning is immature, and that next week, at the Gartner Supply Chain Summit in Orlando, that many will don their Mickey ears to discuss what I consider outdated supply chain planning models. Business leaders see the open sharing of feedback on software as too risky.
Silvon Software
MAY 1, 2024
Predictive Analytics has emerged as a pivotal tool in this quest, offering unprecedented foresight into market trends, consumer behavior, and operational efficiencies. However, the effectiveness of predictive analytics hinges significantly on the robustness and modernized capabilities of the underlying Business Intelligence (BI) platform.
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AIMMS
NOVEMBER 9, 2020
Our first webinar with Oliver Wight discussed common people, process and technology pitfalls that hinder IBP initiatives. Our second webinar delved deeper into the technology aspect, focusing on analytical capabilities and scenario modeling. Let’s explore them briefly in this blog post.
GlobalTranz
OCTOBER 5, 2018
The days of managing channels on an individual basis are over, and consumers are using multiple devices and e-commerce platforms for nearly all purchases. individuals over the age of 15 at some point use e-commerce platforms to make purchases, asserts Business Insider. In fact, 78% of U.S. GET YOUR COPY HERE. Download White Paper.
Advertiser: GEP
Multiple legacy systems prevent procurement from standardizing processes and tracking what they’re spending with each supplier. For global manufacturers, managing direct and indirect material spend can get very complicated very quickly.
SYSPRO Smarter ERP
JUNE 9, 2022
Manufacturers rely on data and their ERP platform to answer critical questions: What are our inventory levels? Mid-market manufacturers need a tool that’s tailored to their needs. The BI tool needs to be able to easily pull all this data together for analysis. How much does it cost us to manufacture this product?
Resilinc
MARCH 26, 2024
In this blog, we explore the different types of predictive AI models for supply chain risk management. Currently, Resilinc uses several predictive AI models in tracking purchase orders (POs) and commodities, autonomous mapping, risk-scoring models, and simulators. How does Resilinc use regression models?
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Explore the most common use cases for network design and optimization software. This eBook shares how supply chain leaders leverage their supply chain design software to tackle a variety of challenges and questions. Modeling your base case. Modeling carbon costs. Diversifying sourcing and manufacturing.
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Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
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