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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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Get Started Using Machine Learning for New Product Forecasting

ToolsGroup

In fact, it’s estimated that up to 80 percent of new product launches in the consumer packaged goods (CPG) industry fail. Adding to this already uphill battle, we don’t have trustworthy new product forecasting methods because forecasting new products with no sales data is very hit-and-miss. Overall reasonably accurate forecasts.

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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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Supply Chain Forecasting with AI

ThroughPut

In the ever-evolving landscape of global commerce, businesses face a significant challenge: the pain of inaccurate forecasts and the relentless pace of market conditions. The agitation stems from the financial loss and operational inefficiencies accompanying these inaccurate forecasts. AI in supply chain forecasting is a game-changer.

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How Data Analytics Can Solve the Challenges Faced by SC Leaders in Discrete Manufacturing

From consumer electronics to automotive manufacturing, most of the global economy’s largest industries rely on some form of discrete manufacturing. Manufacturers in these industries face several unique challenges: Labor and material shortages halting production. Difficulty forecasting demand due to constant supply chain disruptions.

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Demand Forecasting in an Inflationary, Supply-Constrained, Semi-Post-Pandemic Environment

Logistics Viewpoints

It is hard to believe it has been two years since I was faced with forecasting WMS and warehouse automation market growth rates in the midst of the COVID-19 pandemic. These events make accurate forecasting very difficult. I tend to use time series analysis as an anchor to my forecast, as I suspect many of you do.

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For Distributors, Mitigating Supply Uncertainty Begins with a Better Forecast

ToolsGroup

Distribution industry supply chains have always been squeezed between manufacturers and their customers; facing increased competitive threats, escalating SKU counts, and expanding ecommerce. Accurate forecasting of uncertain demand. It goes beyond the “demand forecast number” to the probability of demand in any given time period.