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Improve Forecast Quality and Reliability with Value-add Forecasting (Part 1)

Logility

The ability to effectively forecast demand is essential for supply chain management decisions. In fact, demand forecasts are used throughout the supply chain including supply chain design, purchasing, operations, inventory, and sales and marketing. procurement, operations, inventory, sales and marketing).

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Four Steps to Better Demand Forecasting

Logility

Forecasting is an “inexact science” that relies on the data available to you, the math you use, and how you implement the forecast. And your forecasting success is fundamentally impacted by your understanding of that data, its strengths and limits. How you roll up your data for forecasting fundamentally impacts accuracy.

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Your Must-Have Gartner Debrief: The 4 Key Takeaways from Gartner Supply Chain Symposium/Xpo 2023

ToolsGroup

These often included: Collaborating more effectively with suppliers: More organizations are embracing a more holistic supply chain strategy by knowledge-sharing with suppliers to align on lead times, forecasts, and buying projections. Probabilistic forecasting continues gaining momentum. Consider adopting decision-centric planning.

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How to Get Started with Value-add Forecasting (Part 2)

Logility

So, the promise of using statistical algorithms, forecasting and predictive analytics is now added to the list of a company’s number one priorities. Here are a few steps that you will need to take to deploy your forecasts successfully. Take a data asset inventory. The only way to improve forecasting is to track results.

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Supply Chain Resilience. Really?

Supply Chain Shaman

Expand the “FLOW” program for logistics information sharing to forecast transportation flow. Source: Supply Chain Insights ASCM defines resilience in the SCM Supply Chain Dictionary as the ability of a supply chain to anticipate, create plans to avoid or mitigate, and to recover from disruptions to supply chain functionality.

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Tools of the Trade: How “Forecastable” is Your Data? Complexity Exists Whether You Ignore It or Not

Arkieva

These “key tools” balance a need for simple with a need to handle the complexity of SCM – following the IBM adage – complexity exists whether you ignore it or not, best not to ignore it. Tools of the Trade: How “Forecastable” is Your Data? They do not want the academic cop out – “it depends”.

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Coronavirus Series Part 2 – Overcoming Demand Forecasting Challenges Due to COVID-19

EazyStock

COVID-19 has had a profound impact on global marketplaces, with customer demand and inventory supply more erratic and complex than ever before. In this blog series we look at how inventory optimization tools , such as EazyStock, can support inventory management teams. COVID-19 and Demand Forecasting Challenges.