Remove tag machine learning
article thumbnail

How Not to use Machine Learning for Demand Forecasting

ToolsGroup

Eight years ago ToolsGroup was one of the first supply chain planning software vendors to employ machine learning to improve demand forecasting. As the tag line to a popular commercial goes, by now “we know a thing or two because we've seen a thing or two.”. But machine learning algorithms don’t work like this at all.”.

article thumbnail

Three Cool Technologies

Supply Chain Shaman

The blog post, What About Them Apples , raised a lot of heated discussion on LinkedIn. There were two great blog posts on the topic of DDMRP on Linkedin last week. It is not easy to take a contrarian approach against the big marketing machine of SAP. Quite the dust-up… Why? The recommendation is a broad-brush approach.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Supply Chain Forecasting with AI

ThroughPut

AI-driven forecasting models offer vastly improved accuracy by learning from historical data patterns and continuously refining their predictions. Let’s see how each AI technology can be applied to improve supply chain forecasting: Machine Learning (ML) Machine Learning algorithms are at the heart of AI’s forecasting prowess.

article thumbnail

Machine Learning Overview, Part 1

DELMIA Quintiq

In recent years, machine learning is gaining more and more popularity, but what exactly is the Machine Learning? In this section, I will deep-dive so you will have a better understanding of what machine learning is, types and how machine learning is used. Evolution of Machine Learning.

article thumbnail

IoT Benefits for Supply Chain Operations

Enterra Insights

By using Radio Frequency Identification (RFID) tags on their parts, manufacturers will be alerted about their components’ arrival dates. Metcalf writes, “Modern supply chains rely on the health of many elements, including that of machines. ”[4]. Customization and Personalization. ” Equipment Maintenance.

article thumbnail

Robotic Process Automation and the Supply Chain

Enterra Insights

Paper costs the supply-chain industry upwards of $3 billion every year (not counting the additional price tag of paper, ink and printing). 8] He adds, “In the more advanced cases, RPA programs are invoking machine learning models and adding the resulting predictions to the process automation. ”[6]. Footnotes. [1]

article thumbnail

Innovation with Reverse Logistics (Part 1 of 2)”.

ModusLink Corporation

According to Xu (Xu-2011b), each product can be equipped with a tag to be associated with a unique identity and to be able to communicate with other devices. These two elements are best managed through the innovative technologies such as Artificial Intelligence and Machine Learning, Blockchain and Internet of Things (IoT).