AI Articles and Analysis about Logistics

The healthcare industry has experienced several changes in recent decades. The Health Insurance Portability and Accountability Act (HIPAA), signed into law in 1996, represents one such change. HIPAA was initially intended to simplify how healthcare is administered. However, the law also contributed to the increased administrative burden for healthcare practitioners. 

Accurately projecting and communicating shipment details in freight and logistics is paramount for successful, safe delivery across the vast supply chain. 

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.

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. 

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. 

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.

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.   

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.