Remove 2030 Remove Manufacturing Remove Predictive Analytics Remove Sourcing

A New Technology Superpower: AIoT-The Convergence of AI and IoT

DELMIA Quintiq

Many of those predictions are now coming to fruition in this fourth industrial revolution that is currently transforming the way the world works in every way imaginable. Complex algorithms now give us the capability to do predictive analytics from every conceivable angle.

TMS Delivers on NASSTRAC’s Five Common Sense Suggestions for Shippers

Supply Chain Collaborator

The hard-hitting new report from the National Shippers Strategic Transportation Council (NASSTRAC) is titled, “ Logistics 2030: Navigating a Disruptive Decade, Year 1 – Freight Transportation ” and it is full of powerful conclusions about what shippers are facing in the coming decade as the pace of technological advancement and change continues to accelerate. Using the historic shipping data captured in a TMS, shippers can make data-driven, predictive plans.

No Easter Bunny?

Supply Chain Shaman

Analytical innovation and digital transformation drove step-change capabilities within the office and marketing. High-velocity or streaming data requires different architectures built on non-relational, cloud-based architectures using open source tools like Apache Spark.

Top 25 Supply Chains of 2018

Material Handling & Logistics

Also, for whatever reason, Gartner limits the scope of the Top 25 to companies in the manufacturing, retail or distribution sectors. Source ID. Content Summary: Once again, German automaker BMW is the only automotive manufacturer on the Top 25 list this year, which Gartner attributes in part to its reputation as the most sustainable automotive company, at least according to the Dow Jones Sustainability Index. Source ID. Source ID. Source ID. Source ID.

50 expert tips on logistics planning and strategy

6 River Systems

“Users can easily now look at your global or regional supply situation and quickly source alternates when required, but the key here is to practice your response. The need to predict demand is fairly obvious. Think about how your warehouse might look in 2030.