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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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Melitta: Collaborating for an Improved Forecasting Process

ToolsGroup

Melitta Sales Europe (MSE) embarked on an initiative to revamp existing planning and forecasting processes to increase efficiency and sustainability. S&OP refers to the cyclical process of aligning business activities that inform an organization’s sales and production planning. A Perfect Brew. Read Case Study.

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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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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. So, should I pick 2019 as the new reference, and delete 2020 from my data? My next S&OP run is coming, and I must find a solution to deal with sales forecasting after Covid. Will IA replace forecasting?

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Demand Forecasting with Artificial Intelligence: The Future of Effective Business Planning

ThroughPut

In this article, we look at the capabilities of the most common forecasting methods, and which situations they are best for given their current limitations. Breaking down demand forecasting. Before getting into the forecasting models, it would be useful to define the three main components of demand forecasting.

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Demand Forecasting with Artificial Intelligence: The Future of Effective Business Planning

ThroughPut

In this article, we look at the capabilities of the most common forecasting methods, and which situations they are best for given their current limitations. . Breaking down demand forecasting. Before getting into the forecasting models, it would be useful to define the three main components of demand forecasting.

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Consumer Goods: A Formula for Service, Speed, & Brand Success

Logility

In most cases, their legacy ERP or supply chain solutions cannot support the real-time, frequent forecasting and inventory planning needed to get ahead of margins pressures, rising costs, and shifts in consumer demand. It used to take two people anywhere from 10 to 15 days to create a 12-month forecast.