Logistics Viewpoints
APRIL 6, 2023
Procurement and Supply Chain Management are essential functions that can help companies navigate these challenges, but they are often siloed and operate in separate departments. Their metrics are often misaligned as well – supply chain focuses on service and procurement focuses on the cost of acquiring materials and services.
Precoro
NOVEMBER 13, 2023
However, only 30% of CPOs claim they have achieved their cost-saving targets in 2023. One of the ways that procurement teams improve this figure is by tracking and improving the purchase price variance (PPV) metric. Why Is Purchase Price Variance Important?
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Logility
MAY 18, 2020
Chances are, if you’re in marketing, sales, or one of the more technical aspects of business, you’ve used predictive analytics in some part of your job. But your company doesn’t have to be a retail giant to use predictive analytics. using predictive analytics?built Predictive Analytics in a Nutshell.
Precoro
AUGUST 14, 2023
More and more companies are acknowledging the importance of centralizing and optimizing their procurement operations. One of the ways to accomplish this is to establish a procurement team to streamline ordering by centralizing purchases and improving supplier relations. What are the duties of a procurement manager?
Logistics Viewpoints
APRIL 1, 2021
In a previous post , I made a case for how the Chief Supply Chain Officer (CSCO) and Chief Procurement Officer (CPO) are smarter together. Accordingly Supply Chain and Procurement will need continuous collaboration. Such sourcing events can be in the context of direct materials or logistics capacity.
Enterra Insights
MAY 26, 2022
Although retailers still talk about the digital path to purchase as an alternative to the traditional shopping journey, the lines between paths to purchase have blurred. With all generations getting more comfortable on the digital path to purchase, most retailers have adapted to this new reality and are pursuing omnichannel strategies.
SYSPRO Smarter ERP
JULY 3, 2023
Using artificial intelligence (AI) in manufacturing can significantly improve productivity, reduce equipment failure, increase production efficiency and help identify new business opportunities. The area of AI that manufacturers need to explore to drive their factories into the future is machine learning (ML). The Industry 4.0
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