AI Articles and Analysis about Supply chain management

In commerce, supply chain management (SCM), the management of the flow of goods and services, involves the movement and storage of raw materials, of work-in-process inventory, and of finished goods from point of origin to point of consumption.

Emerj.com – 002 – Retail AI Use-Cases and Trends – An Executive Guide-min
Business intelligence and analytics
Retail
Customer analytics
Customer experience
Customer service
Data analysis
Logistics
Predictive analytics and forecasting
Supply chain management

Retail AI Use Cases and Trends – An Executive Brief

Retail has been undergoing a digital transformation for some time. Most of us have seen the gradual macroeconomic effects of this change, from the increasingly empty malls to the shuttering of once-prosperous brick-and-mortar stores.
Predicting Freight Shipments with AI@2x
Automation and robotics
Industrial automation
Logistics
Predictive analytics and forecasting
Supply chain management
Vehicular automation

Predicting Freight Shipments with AI – with Dorothy Li, CTO of Convoy

Accurately projecting and communicating shipment details in freight and logistics is paramount for successful, safe delivery across the vast supply chain. 
Artificial Intelligence at DHL@2x-min
Business intelligence and analytics
Heavy industry
Logistics
Manufacturing
Predictive analytics and forecasting
Supply chain management

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. 
Bringing Intelligence to Manufacturing and Maintenance@2x-min
Data analysis
Data collection
Supply chain management

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. 
The Importance of Real-Time Telemetric Data in Manufacturing@2x-min
Data collection
Manufacturing
Supply chain management

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.