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Logistics Viewpoints
JANUARY 25, 2024
Getting started with AI in supply chain might not start where you think. Some try delving into deep learning or a crash course in generative AI (GenAI), but I don’t recommend starting there. Find a solution provider you trust, who will help shine the light to start where you are and evolve. Why AI in supply chain?
ToolsGroup
JUNE 29, 2020
In many industries new products are a considerable part of revenue, and getting the forecast wrong results in overstocks or empty shelves and lost sales. Example: New product introduction for eyewear company. Company A is an eyewear manufacturer. Every year the new models are launched in a different period in the year.
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Talking Logistics
MAY 10, 2023
As I highlighted last week in “Negotiating With A Chatbot: A Walmart Procurement Case Study,” despite all the hype surrounding Artificial Intelligence (AI), relatively few companies are using AI in their supply chain or logistics operations today. Simply put, we’re still in the very early adopter stage. When it comes to adopting AI in supply.
Logility
NOVEMBER 30, 2023
In one of our recent webinars, a poll showe d 76% of the 100 attendees were in the educational stage of adopting Generative AI in their companies. Considering where most companies are in their Supply Chain AI journey, the mix of excitement and apprehension is no surprise.
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As the value of modern in-app analytics becomes clearer, more companies are making analytics a priority before it becomes a problem. But don't worry, Logi Analytics' Blueprint to Modernize Analytics will help you define your new solution, plot out how to get there and determine what you'll need in terms of time and resources.
Logility
MARCH 8, 2022
But where do you start? Ultimately, any steps you take towards sustainability will help your company , but there are so many different paths to sustainability that identifying a starting point can be overwhelming. As you prepare to launch your sustainability journey, use these ideas to get started. Key Takeaways.
ToolsGroup
FEBRUARY 19, 2020
It just gets simpler every year!”. Here are just a few ways demand sensing companies are turning insights into action: Reduce demand latency when there’s a distributor/retailer between you and your customer. Product life cycles continue to get shorter; new products are continuously coming in and superseding existing products.
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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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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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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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Research shows that the hiring process is biased and unfair. While we have made progress to solve this, it’s potentially at risk due to advancements in AI technology. This eBook covers these issues & shows you how AI can ensure workplace diversity.
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If you’re not considering risk in supply chain design, you’re gambling with your company’s future. According to PwC, more than 60% of companies said that their performance indicators had dropped by 3% or more because of supply chain disruptions. Yet 60% of companies pay only marginal attention to risk reduction processes.
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Companies want to maximize service levels, but they also want to cut costs. Companies are now running models on a quarterly basis, and sometimes more frequently, to adjust to changes in their business landscape. These goals are often at odds with one another. How do you find the optimum balance? Who is this guide for?
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Recruitment AI technology uncovers the most qualified candidates. This technology automates recruiting routines and facilitates natural conversations, resulting in higher productivity and a better candidate experience. Download the eBook to learn more!
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