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A New Era in Transport Logistics with Big Data and Self-Driving Trucks

Logistics Viewpoints

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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Why are WMS Sales so Persistent? Here is How I Learned of WMS’ Ongoing Importance

Logistics Viewpoints

I am currently finishing up this year’s version of ARC Advisory Group’s annual WMS market research study. But it applied them in greater detail to aggregate supply and demand across numerous nodes. What about the data quality? How about the variability in the data that is combined to create aggregates used as inputs?

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Why is o9 Solutions Growing So Fast?

Logistics Viewpoints

Based on ARC Advisory Group’s recently released study of the market, this puts them in the top 5. A graph database stores nodes and relationships instead of tables, or documents. Data is stored just like you might sketch ideas on a whiteboard. There are vendors that supply this data. How did the company grow so fast?

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Omni-Channel Logistics Leaders: The Importance of Real-Time Inventory Visibility

Talking Logistics

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.

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Why are WMS Sales so Persistent? Here is How I Learned of WMS’ Ongoing Importance

Logistics Viewpoints

I am currently finishing up this year’s version of ARC Advisory Group’s annual WMS market research study. But it applied them in greater detail to aggregate supply and demand across numerous nodes. What about the data quality? How about the variability in the data that is combined to create aggregates used as inputs?

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The Inventory Accuracy “Confidence Gap”

Talking Logistics

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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Polycrisis, Antifragility, and What’s Missing from Digital Transformation

Logistics Viewpoints

A McKinsey study found that 90% of supply chain leaders expected to transform their planning systems. Transparency into the inter-relationships of actions clarifies their systemic impact, not just the effect on a single node. However, this learning requires large volumes of data to “train” the models.