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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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Forecasting Over the Product Life Cycle

ToolsGroup

Demand forecasting is tough, and getting it right over the entire product lifecycle during the course of launch, maturation, and end-of-life is tougher still. Forecasting new product introductions is difficult because you don’t have sales history, and you don’t have a good idea of how quickly the product will take off.

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2021 Logistics Outlook: Truckload Freight Market Forecast

GlobalTranz

The volatility of 2020 and the uncertainties looming into 2021 make it difficult to forecast planning and budgets based on historical data. That trend also plays into an extended peak shipping season and ongoing tightened capacity in all modes. However, some market trends that became significant factors in 2020 will likely continue.

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What is Supply Chain Decision Support? Are We Rearranging Deck Chairs on the Titanic?

Supply Chain Shaman

The essence of the question is resilience and the ability to forecast in a variable market reliably. This gets us to the question of what is the role of the forecast?` For most, forecasting is a conundrum full of potholes, politics, and bias. I attempted and failed to: Use Point of Sale Data in Supply Chain Forecasting.

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3 Common Demand Forecasting Challenges and Solutions

Herlitz Inventory Management

What is Demand Forecasting? Demand forecasting is a vital activity for wholesale and retail purchasing teams. Demand forecasting is a process that helps retailers and wholesalers predict future consumer demand. There are various forecasting methods available, many of which have been used since the early days of modern retail.

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Outside-in Process Q&A

Supply Chain Shaman

They implemented a simple planning technology with an outside-in channel-centric model (Ship to model definition). Most supply chain planning deployments cannot use channel data because the model is a “Ship from model” not a “Ship to engine.” Start by analyzing your Forecast Value Added by demand stream.

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Improving Sales forecasting after Covid

DynaSys

We should not consider year 2020, and probably H1 2021, as a relevant set of data for forecasting calculation. My next S&OP run is coming, and I must find a solution to deal with sales forecasting after Covid. Based on the real demand, I can operate my supply planning without using precisely wrong forecasts. It’s a given!