Data Nodes Study 
Logistics Viewpoints
MARCH 27, 2025
With its ability to monitor conditions across the supply chain at every node and touch point digitalization provides the only practical solution. They can ingest large volumes of functional data and leverage advanced intelligence to recognize broad trends and specific disruptive events. billion to $23.07
Logistics Viewpoints
DECEMBER 7, 2022
This is where big data technologies come into play. Big data for real-time optimizations in transport logistics. Logistics and transport service providers create enormous data records as they manage the flow of goods. These data include information such as types of goods, location, weight, size, origin, and destination.
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Stord
APRIL 16, 2025
A study by Edelman found that 81% of consumers need to trust a brand before making a purchase. Numerous studies have demonstrated that communication plays a critical role in enhancing customer satisfaction, improving retention, and building loyalty. Trust is currency in e-commerce.
Stord
NOVEMBER 25, 2024
Stord technology identifies further savings by intelligently selecting the proper carrier to hit the promised delivery date based on real historical data, and selectively downgrading to reduce costs on every package. A culture of excellence At the core of this partnership is a dedication to The Zero Proof and their end consumers.
Talking Logistics
SEPTEMBER 24, 2018
Performance Leaders Have Greater Real-Time Inventory Visibility Across Supply Chain Nodes. Across virtually every supply chain node, a greater percentage of Above Average Performers reported having real-time visibility of inventory compared to Average or Below Performers.
Logistics Bureau
JANUARY 3, 2025
Quality and Detail of Data and its Analysis In some of our earlier posts, weve stressed the importance of simplicity in distribution network design , and we will return to that topic later in this article. It would be folly not to take advantage of data availability and accessibility.
Talking Logistics
MAY 6, 2019
Our 2018 study tells us a greater percentage of Above Average Performers have “High Confidence” in inventory accuracy across all supply chain nodes compared to Average & Below Performers. That said, as we further evaluate the data we find even Above Average Performers have significant room for improvement.
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