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The Forecasting Accuracy Bugaboo

Logistics Viewpoints

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!

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Don’t Wait to Innovate: 3 Key Benefits of Causal Forecasting

Logility

That’s precisely what demand forecasting feels like for many businesses today. Enter causal forecasting. Unfortunately, many companies hesitate to use causal forecasting, thinking it’s too complicated or resource-hungry. What is Causal Forecasting? That’s where causal forecasting comes into play.

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4 Steps to Skyrocket Your Demand Forecasting Accuracy

Logility

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!

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Demand Planning Software – Top 3 Demand Forecasting Mistakes to Avoid

Logility

Top 3 Demand Forecasting Mistakes —How To Avoid Them with Demand planning software Demand forecasting is a critical facet of successful business operations, acting as the helm guiding companies through the rocks hiding beneath the water of market demands. What is Demand Forecasting?

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Weather Permitting: How to Use Weather Data in Retail Forecasting

ToolsGroup

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.

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The Top Five Benefits of Using Machine Learning for Demand Forecasting

Logility

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.

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Demand Forecasting in the new normal

SYSPRO Smarter ERP

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.