Logistics Viewpoints
JUNE 29, 2023
It is crucial for organizations to understand the importance of Purchase Order collaboration to effectively manage their direct spend, optimize operations, and mitigate risks. Make to Order: Here, products are manufactured based on specific customer orders.
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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Logistics Viewpoints
MARCH 27, 2023
When it comes to running a company, when things break down executives have traditionally said “we need to improve our forecasting!” Would better forecasting accuracy be a good thing? Unfortunately, most companies cannot, and will never be able to, consistently rely on highly accurate forecasts. Absolutely!
SYSPRO Smarter ERP
AUGUST 2, 2023
As members of one of the most highly regulated industries in the world, medical device manufacturers face numerous challenges. From stringent quality standards to comprehensive documentation requirements, Class 1 and 2 manufacturers must navigate a complex landscape to ensure compliance and product excellence.
Precoro
JULY 16, 2023
The purchasing department plays a critical role in the success of an organization. Thought-out practices and well-managed workflows within the purchasing department are crucial for making sure that the company has the necessary resources available at the right time and at a reasonable cost.
Logistics Bureau
FEBRUARY 15, 2021
The best way to understand the difference between procurement and purchasing in a business is to consider the process involved in buying a car, says Logistics Bureau’s procurement specialist, Trent Morris. Procurement First, Purchasing Follows. But all of those things become purchasing as opposed to procurement.
SYSPRO Smarter ERP
MARCH 15, 2023
Manufactures are continuously faced with the challenge of forecasting how much (raw material) to purchase and how much (finished goods) to produce. To manage this delicate balance of demand and supply, manufacturers often use statistical forecasting techniques to predict future demand by looking at historical sales data.
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