Enterra Insights

FEBRUARY 13, 2019

Louis Columbus ( @LouisColumbus ) explains, “Enterprises are striving to find greater meaning in the massive amounts of data they generate and save every day. As Columbus notes, machine learning is ideal for discovering patterns. ”[1] Dr. .” ” Machine learning and the supply chain. They are: 1. . ” 9.

Optimal Sourcing 124

Optimal Sourcing Columbus Procurement Analytics Predictive Analytics 124

Enterra Insights

NOVEMBER 26, 2019

Organizations can modify how and where they use resources to better prepare for future events. Transportation management : Myers writes, “Supply chains depend on fixed lead time and uncertainty for factors such as ocean shipping, can be addressed by predicting future disruptions.” ”[6].

Predictive Analytics 100

Predictive Analytics Predictive Analytics Software Analytics Software Procurement Analytics 100

GlobalTranz

JANUARY 22, 2016

This data can then be used to break down organizational silos, which 20 percent of manufacturers hope to achieve in 2016, asserts Louis Columbus of Forbes. For example, a warehouse management system that is not currently connected to the other warehouses in the network cannot accurately generate a demand forecast for a given time period.

Prescriptive Analytics Software 120

Prescriptive Analytics Software Analytics Software Predictive Analytics Analytics 120

GlobalTranz

FEBRUARY 16, 2017

As the availability of resources and raw materials has grown tighter, a circular economy is evolving. Moreover, companies will be able to manage warehouses more efficiently by eliminating overstocking or understocking issues, and new technologies, including 3D printing, will make customization of inventory needs easier.

Manufacturing Procurement 245

Manufacturing Procurement Inventory Management Software Supply Chain Design Software Continuous Improvement 245