Logistics Viewpoints
MARCH 27, 2023
Solvoyo’s Solution Bugaboo: something that causes fear or distress out of proportion to its importance. 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? Absolutely!
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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Logility
JUNE 2, 2023
In the intricate world of supply chain management, the accuracy of demand forecasting often serves as the cornerstone of business growth. Yet, despite its significance, demand forecasting continues to be a thorny issue for many businesses, particularly manufacturers. What is Demand Forecasting Accuracy? Let’s get started!
Precoro
NOVEMBER 13, 2023
One of the ways that procurement teams improve this figure is by tracking and improving the purchase price variance (PPV) metric. In this article, we'll explain what PPV is, why it matters, and how tracking this metric can benefit your procurement processes. Why Is Purchase Price Variance Important?
ToolsGroup
MARCH 3, 2022
Despite knowing all this, too many retailers ignore the impact of weather and this adds error to plans and demand forecasts. And even though meteorology has come a long way, weather is a notoriously fickle and uncontrollable factor, and no forecaster can reliably predict it beyond the next few weeks. It all evens out in the end.
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. Consequences of Lack of PO Collaboration Capabilities Failure to prioritize PO collaboration can lead to severe consequences for companies.
Logility
MARCH 6, 2020
Machine Learning for demand forecasting has matured to a level of accuracy, transparency and replicability that translates into transformative results, including in these five areas: Accuracy, transparency, thoroughness of analytical options and results. Let’s take a closer look at each one. Accuracy and transparency. Greed for more data.
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