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Many global multinationals accelerated their investments in digitizing data during the pandemic. According to Colin Masson, a director of research at ARC Advisory Group, the opportunity to mine these vast quantities of data to achieve business value is “NOW.” Mr. Masson leads ARC’s research on industrial AI and data fabrics.
Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, and increase operational efficiency can benefit from a supply chain data gateway. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.
Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, and increase operational efficiency can benefit from a supply chain data gateway. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.
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Home Making Logistics Data Actionable: Insights from Freightos and Gryn July 7, 2025 Blog Data is the backbone of efficient decision-making. However, transforming raw data into actionable insights remains a significant challenge for many logistics organizations. That’s the reason why you are collecting data.”
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Karan delves into two critical areas: material waste and data waste. He discusses how material waste impacts costs and efficiency, and the often-overlooked issue of data waste—where valuable data is not captured, leading to inefficiencies in managing inventory and operations.
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Theyre built for a narrow job: to allow simple devices to send small data packages across long distances with minimal power usage. In both cases, devices can last up to 10 years on a battery, waking only to transmit data at defined intervals. Theyre not general-purpose wireless technologies. Still, they serve different purposes.
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For industries like aerospace, defense, and medical device manufacturing, there are huge risks of not proactively capturing every data point. However, managing this data is nearly impossible with thousands of parts per product.
The AI contributes by identifying patterns and recommending changes based on real-time data, but decisions remain with people. By analyzing historical data, local shopping patterns, and external signals like weather, its systems recommend changes to inventory mix and replenishment.
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Speaker: Jason Chester, Director, Product Management
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For example, if an asset issue was detected, solving that issue could involve multiple applications used by multiple people, seeing different information, entering different data, bouncing emails and texts back and forth, and moving information from one place to another. We needed to model the data in a way that we can do simple searching.
… Additionally, data visualization allows companies to drill down into the variances and see where to make adjustments. “Advanced AI algorithms analyze historical data to predict future stock requirements and optimize warehouse space. Also, validated financial statements are key in the underlying optimization models.
We have all the connected planning data we get from blue Yonder, all of the product data we get from the product systems, all of the shipment information that’s coming in from the carriers, as well as risk information from Everstream and other sources. We can now have really good data-driven conversations.
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The book goes beyond theoretical concepts and serves as a playbook for crafting data-driven go-to-market strategies. Company specializes in crafting GTM strategies that are grounded in data – backed insights and sophisticated mathematical models. Data-Driven Insights: Gain valuable insights into your marketing efforts.
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Machine learning improves the vehicle’s performance by analyzing data from past deliveries and refining its operations. Cloud Computing: The data collected by ADVs is processed through cloud platforms, enabling real-time communication, route adjustments, and fleet management.
In response to these challenges, a leading heavy equipment manufacturer selected GEP to redesign its source-to-contract processes and implement a convergent data model to help manage procurement data across its multiple locations.
Blockchain also facilitates collaboration by sharing verified data across stakeholders. These devices provide actionable data to improve fuel efficiency and reduce maintenance costs. Immutable records enable accountability throughout the supply chain.
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Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
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