Forecasting Procurement Analytics Supply Chain Software Warehousing 
Logistics Viewpoints
OCTOBER 26, 2022
ARC Advisory Group began conducting formalized research on the global warehouse automation market in 2014. billion globally, and I forecast it to grow to $9.9 We define the market as those warehouse automation providers responsible for delivery of the system to the end-user (to eliminate double-counting).
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!
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Supply Chain Shaman
DECEMBER 7, 2023
Today, I speak at the North American Manufacturing Association, Manufacturing Leadership Conference, in Nashville on the use of data to improve supply chain resilience. Background The Council of Supply Chain Resilience met for the first time this month. What is supply chain resilience? The reason?
SYSPRO Smarter ERP
MARCH 15, 2023
Manufactures are continuously faced with the challenge of forecasting how much (raw material) to purchase and how much (finished goods) to produce. Failure to effectively address this challenging question can result in enormous inefficiencies caused by misalignment of demand and supply throughout the supply chain.
Logistics Viewpoints
MAY 11, 2023
The concept of digital twins has emerged as a powerful foundational tool to drive improvements in warehouse productivity and efficiency. In the warehouse context, a digital twin can be created to represent the physical layout, inventory, equipment, and workflows of a warehouse. Physical change (i.e.,
SCMDOJO
MARCH 27, 2024
The world of supply chain management is fast-paced. Hence, leveraging the right technological tools becomes not only beneficial. This comprehensive guide highlights software that stands out. For each recommended software, we will delve into the key features that set it apart.
Logility
MARCH 6, 2020
Machine Learning for demand forecasting has matured to a level of accuracy, transparency and replicability that translates into transformative results, including in these five areas: Accuracy, transparency, thoroughness of analytical options and results. Let’s take a closer look at each one. Accuracy and transparency.
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