Remove Business logistics Remove Data Remove Presentation Remove Tools
article thumbnail

The Role of Data Analytics in Supply Chain Management

3PL Links

The Role of Data Analytics in Supply Chain Management | Image source: Pixabay This article describes the transformation that data analysis and the supply chain are fostering and how it will impact business intelligence. Intelligence-driven businesses are interested in supply chain management and data analysis.

article thumbnail

The Generative AI Revolution: A Glimpse Into Logistics 4.0

Trinity Logistics

As the industry pivots from Logistics 3.0 to Logistics 4.0, the role of Generative AI, a subset of artificial intelligence that can generate data like what it’s trained on, is becoming significant. Let’s follow, Alex, a seasoned logistics manager, into his journey with Generative AI in logistics.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Warehouses Are Experiencing a Metamorphosis In Operational Procedures

LandLink

Challenged by the demands of e-commerce and omni-channel fulfillment, smaller orders, ever-shrinking delivery timeframes, and a persistent labor shortage, operations are in perpetual need of tools that can help them tackle these and other ongoing productivity issues. Pertinent data needs to be a mouse click away.

article thumbnail

Six strategic challenges for Defence logistics

Logistics in War

At the same time, many of the basic tenants of our logistics system will endure, as we will still need to purchase, transport, maintain, store and dispose of stuff – how we do it and how we make use of the best available tools will be the challenge.

article thumbnail

Supply Chain & Logistics Education: Ask the Professors

The Logistics Academy

For example, as online sales reach a record high, B2C service provider Jet.com uses some creative logistics concepts to bring value to customers. At Bucknell, we typically have students conduct semester research projects on some common logistics models. They must know which data deserves priority for a given problem.