Predictive Analytics Software Related Topics 
Logistics Viewpoints
NOVEMBER 6, 2024
The IoT data allows managers to detect inefficiencies, predict maintenance needs, and even assess driver performance. Similarly, UPS uses its ORION system, which integrates real-time and historical data to optimize delivery routes, saving fuel and enhancing delivery reliability.
Logistics Viewpoints
MARCH 27, 2024
It showcases the latest products, technologies, and services from over 900 exhibitors across various sectors and industries. The robots can also communicate with each other and with a cloud-based software platform that coordinates and optimizes their movements and actions.
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SCMDOJO
OCTOBER 30, 2024
The global supply chain landscape is undergoing significant transformations, influenced by rapid technological advancements, shifting consumer expectations, and the intricacies of international commerce. Preparing the next generation to excel in this dynamic field requires more than traditional education methods.
Silvon Software
MAY 1, 2024
Predictive Analytics has emerged as a pivotal tool in this quest, offering unprecedented foresight into market trends, consumer behavior, and operational efficiencies. The quality of data, including its accuracy, completeness, and timeliness, directly impacts the reliability of predictive outcomes.
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To better understand the factors behind the decision to build or buy analytics, insightsoftware partnered with Hanover Research to survey IT, software development, and analytics professionals on why they make the embedded analytics choices they do.
Logistics Viewpoints
MARCH 31, 2022
If there’s a bright spot anywhere it’s the fact that, as logistics challenges have grown, so has the availability of advanced technologies to manage these challenges. For logistics teams, digital control towers add maximum value when they’re integrated with the transportation management system (TMS). Warehouse Task Automation.
Logistics Viewpoints
JANUARY 5, 2022
ARC analysts have published predictions about supply chain technology trends at the beginning of the year in past years. It is therefore unsurprising that these characteristics are central to our 2022 supply chain predictions. The post 2022 Supply Chain Predictions appeared first on Logistics Viewpoints.
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Read more on: How embedded analytics is transforming product roadmaps How to add value to your software with predictive analytics Common mistakes to avoid when presenting data Download the white paper to learn about the essential guide to analytic applications.
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In its 2020 Embedded BI Market Study, Dresner Advisory Services continues to identify the importance of embedded analytics in technologies and initiatives strategic to business intelligence. Which sophisticated analytics capabilities can give your application a competitive edge?
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Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
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Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
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Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.
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Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".
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This whitepaper explores how AI and predictive insights revolutionize supply chain management. By analyzing real-time data from disparate sources, these advanced systems offer actionable insights to anticipate potential issues, improve decision-making, and enhance operational efficiency.
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Despite many software companies slapping AI on everything the reality is that there are a lot of hurdles to overcome before AI can be effective. Machine Learning and AI are not magic bullets to solve all supply chain problems. Learn how to leap them.
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