Logistics Viewpoints
MARCH 27, 2023
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!
Logility
AUGUST 31, 2023
The consumer goods industry may have experienced tremendous growth, but figuring out what consumers want is an ever-evolving puzzle. From where they shop and how frequently they buy to what price points entice them, consumer behaviors have been challenging to predict over the past year.
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Logility
NOVEMBER 13, 2020
Causal f orecasting shines a light on , and isolates, actual demand signals from market “chatter,” thus improving forecast quality. What Exactly Is Causal Forecasting? . First, what it’s not is a replacement for demand forecasting. The Benefits Offered by Logility’s Causal Forecasting Solution.
ToolsGroup
MAY 13, 2021
Demand modeling is different from demand forecasting. Simply put, it doesn’t forecast demand, it models demand. Forecasting typically starts with a time series of data—usually presented as a bar chart displaying demand by month or by week. For example, say you are a consumer goods company that makes orange juice products.
AIMMS
SEPTEMBER 9, 2019
Part II in our series on assessing your Demand Forecasting process . In Part I of this series , we looked at supply chain professionals’ perception of forecast accuracy and how they see their forecast evolving in the future. The use of technology for demand forecasting is widespread .
AIMMS
SEPTEMBER 9, 2019
Part II in our series on assessing your Demand Forecasting process . In Part I of this series , we looked at supply chain professionals’ perception of forecast accuracy and how they see their forecast evolving in the future. The use of technology for demand forecasting is widespread . – Tweet this. Only 25.7%
ToolsGroup
JANUARY 17, 2018
Forecasting demand in the long tail is much different than in the head. Companies are dealing with more slow moving items with unpredictable demand patterns, which is making demand forecasting and inventory management more difficult. The solution is not forecast accuracy. the forecast is quite accurate overall.
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