Demand Management Inventory Sourcing 
ToolsGroup
APRIL 17, 2025
Traditional demand forecasting methods often fall short, resulting in inefficiencies, excess inventory, and lost revenue. Machine learning is transforming the demand planning process, enhancing demand forecast accuracy, optimizing inventory management, and strengthening supply chain resilience.
Logistics Viewpoints
JULY 6, 2022
I did a little digging to find out the specifics about excess inventory, the stated causes, and the potential implications. Retailers’ Inventories – Just Keep your Returns? Unfortunately, I am unsure about the order of magnitude or the duration of these inventory mismatches. Here’s my take on the topic.
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Kinaxis
OCTOBER 20, 2014
Reason #5 Not having a supply chain risk management process. Reason #6 Not effectively managing inventory. Unfortunately, all the same kinds of things can happen to your supply chain inventory. Except that your inventory costs millions of dollars. Reason #3 Not having end-to-end supply chain visibility.
Logistics Viewpoints
MARCH 27, 2023
As demand forecasting accuracy increases, and the standard deviation associated with the forecast decreases, the need to hold “just in case” inventory also goes down. This leads to lower inventory carrying costs and thus better case flow. Demand forecasting should be tightly integrated to an inventory optimization application.
Kinaxis
AUGUST 18, 2014
I watched a TED Talk video by Philip Evans, from Boston Consulting Group and shuddered to think that all our traditional fulfillment and inventory models can be drastically transformed by the “consumer”. Sure, we’re concerned, and in some cases stocking more inventory at local distribution centers. Some people call this “Big Data”.
Logility
NOVEMBER 18, 2021
Demand Management, Inc., The synergy between Logility, Demand Management, and NGC Software creates the most complete and innovative supply chain planning platform on the market,” said Allan Dow, president and CEO of Logility, “Now, more than ever, the digital economy requires an intuitive supply chain powered by cognitive planning.
Kinaxis
JULY 18, 2014
Think about those design, sourcing and delivery challenges. A supply chain based so heavily on external sources is susceptible to more risk than catching a flight on time out of Newark. The challenge is balancing reduced material delays with rising inventory levels and longer Days of Inventory. No registration required.).
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