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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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%
ThroughPut
DECEMBER 5, 2023
Accurately forecasting sales with fluctuating demand cycles is difficult to achieve, and yes, there’s a direct impact: the less accurate the sales forecast, the less precise the stocking levels. The lack of forecasting accuracy can easily spill hardship into other departments. What is Demand Forecasting?
ToolsGroup
JULY 27, 2021
On the surface, it seems like the consumer packaged goods (CPG) industry performed better than most during the COVID pandemic. Consumer goods e-commerce sales for example increased 91% year over year according to a NielsenIQ analysis. Anticipate Consumer Demand and Supply Chain Uncertainty with Probabilistic Planning.
CHAINalytics
OCTOBER 29, 2018
Chainalytics recently worked with a personal care brand manufacturer to improve its demand forecasting and production planning processes which helped reduce rising backorders, restore customer service levels, and maintain growth. A rapidly expanding consumer goods company recently found itself struggling to meet customer fill rates.
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