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DEMAND FORECASTING WITH AI / MACHINE LEARNING 2024 Edition: Optimizing Profits & Avoiding Bottlenecks

DEMAND FORECASTING WITH AI / MACHINE LEARNING 2024 Edition: Optimizing Profits & Avoiding Bottlenecks

          
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About the Book

Demand Forecasting with AI and Machine Learning: The Definitive Guide to Optimizing Profits and Avoiding Bottlenecks in a Competitive Business Environment

In this transformative book, delve deep into the world of demand forecasting enhanced by artificial intelligence and machine learning, where every decision is based on precise data and strategic insights. This essential resource is crafted for professionals seeking to master cutting-edge techniques, ensuring that your business not only adapts but thrives in a volatile and ever-evolving market. By exploring advanced forecasting methods, you will learn to identify hidden trends, optimize inventories, reduce costs, and avoid bottlenecks that often compromise operational efficiency. With practical and detailed examples, this guide offers a clear and actionable approach designed to elevate your expertise and position your company ahead of the competition. Ensure that every step you take is backed by robust analysis and accurate forecasts, transforming the way you conduct business and driving sustainable growth. This is the ultimate tool for any leader who wants to make informed decisions, mitigate risks, and maximize return on investment in an increasingly dynamic and challenging corporate environment.

Keywords:

demand forecasting artificial intelligence machine learning profit optimization inventory management cost minimization operational efficiency digital transformation Google AWS Microsoft IBM Oracle SAP Salesforce Tableau Power BI Python R Hadoop Spark IoT Big Data data analysis neural networks deep learning predictive algorithms technological innovation business transformation business competitiveness supply chain management trend analysis process optimization strategic decision making predictive models time series analysis random forests linear regression decision trees


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Product Details
  • ISBN-13: 9798336107593
  • Publisher: Amazon Digital Services LLC - Kdp
  • Publisher Imprint: Independently Published
  • Height: 229 mm
  • No of Pages: 122
  • Spine Width: 7 mm
  • Weight: 191 gr
  • ISBN-10: 8336107592
  • Publisher Date: 18 Aug 2024
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: Optimizing Profits & Avoiding Bottlenecks
  • Width: 152 mm


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