AI Articles and Analysis about Logistics

Explore articles and reports related to artificial intelligence for logistics, including applications for supply chain management, emergency management, and more.

002 – AI at MetLife-min

Artificial Intelligence at MetLife – Three Use Cases

MetLife is a leading global insurance company headquartered in New York City. It provides its customers various insurance and financial services, including life insurance, health insurance, retirement plans, and investment management.

Artificial Intelligence at DHL@2x-min

Artificial Intelligence at DHL – Two Applications at the World’s Largest Logistics Company

DHL is a German logistics company that offers parcel delivery, express mail, freight forwarding, and third-party logistics. Its parent company is Deutsche Post (‘DPDHL’), the world’s largest logistics enterprise, operating in over 220 countries and employing more than 510,000 people worldwide. 

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Bringing Intelligence to Manufacturing and Maintenance@2x-min

Bringing Intelligence to Manufacturing and Maintenance – with Peter Tu of GE Research

A paradigm shift is happening in the manufacturing industry. Advancement in big data and machine learning is changing traditional manufacturing processes into the era of intelligent manufacturing. The concept of what gets called "industry 4.0" encourages the use of smart sensors, devices, and machines – going beyond the motives of collecting data about production. 

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The Importance of Real-Time Telemetric Data in Manufacturing@2x-min

The Importance of Real-Time Telemetric Data in Manufacturing – with Remi Duquette of Maya HTT

The manufacturing industry has changed in recent years. Humans on the shop floor have always used their senses and experience to anticipate machine failure before it occurs. Now, AI can be used in conjunction with human expertise.

Artificial Intelligence at Nike

Artificial Intelligence at Nike – Two Current Use-Cases

Nike was founded as Blue Ribbon Sports in 1964 and originally operated as a distributor for athletic shoes made by a Japanese firm. By 1971, Nike sold its own line of shoes and began using the company’s iconic Swoosh design. By the time Nike went public in 1980, the company had achieved a 50% market share in its domestic athletic shoe market.   

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Artificial Intelligence and the Future of Supply Chain and Logstics

Artificial Intelligence and the Future of Supply Chain and Logistics

Supply chains contain every material, component, product and packaging for the objects that together compose the world we live in. However, there is an often invisible ingredient to successful supply chains: data. 

Artificial Intelligence for Military Logistics - Current Applications

Artificial Intelligence for Military Logistics – Current Applications

Logistics in the military encompasses more functions than most people realize. In modern warfare, that means large quantities of data to sift through in order to make decisions regarding supply, transport, communications, and so on. Using artificial intelligence (AI) and machine learning (ML) in one or more areas in logistics could help speed up that process and make it more agile.

AI for Exploration & Production (Upstream) in the Oil and Gas Industry - Current Applications

AI for Exploration & Production (Upstream) in the Oil and Gas Industry – Current Applications

The oil and gas industry is usually divided into three major operational sectors: upstream, midstream, and downstream. Upstream involves the exploration and production of oil and natural gas. Midstream usually refers to transportation and storage stages. Downstream encompasses the various processes involved in refining and selling oil.

Logistics

Explore articles and reports related to artificial intelligence for logistics, including applications for supply chain management, emergency management, and more.