Logility
APRIL 21, 2020
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. The payoffs were big, but they did not come easily. So what’s the upside?
Logility
AUGUST 14, 2020
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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Arkieva
AUGUST 5, 2020
In the simple version of supply chain management (SCM) the goal for demand forecasting in the tactical decision tier is prediction accuracy. Machine Learning and AI: Profiling Demand History – A Wiser Forecasting was first posted on August 5, 2020 at 8:11 am.
ToolsGroup
MAY 16, 2023
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. Still new to probabilistic forecasting?
Logility
APRIL 23, 2020
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. Evaluate the forecasting power against the risk level of the decisions that are being made.
Arkieva
NOVEMBER 9, 2021
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”.
Arkieva
SEPTEMBER 27, 2019
Historically, most of the key planning and computational activities (models, time series, machine learning, and other analytics) that support extended supply chain management (SCM) are “deterministic models”. Probabilistic Forecasting and Confidence Intervals was first posted on September 27, 2019 at 11:18 am.
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