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Professional Certificate in AI-driven Inventory Planning Models

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to AI and Machine Learning in Inventory Management
  • Forecasting Techniques for AI-driven Inventory Planning
  • AI-driven Inventory Optimization Models
  • Demand Sensing and Prediction using Machine Learning
  • Supply Chain Optimization with AI
  • Inventory Control and Replenishment Strategies
  • Implementing AI-driven Inventory Planning Models
  • Case Studies: Real-world applications of AI in inventory
  • Advanced Analytics and Data Visualization for Inventory
  • Ethical Considerations in AI-driven Inventory Planning

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description AI-Driven Inventory Planner Develops and implements advanced inventory planning models using AI and machine learning techniques, optimizing supply chains for leading UK businesses.

Requires expertise in forecasting and demand planning.

Data Scientist (Inventory Optimization) Analyzes large datasets to identify trends and patterns impacting inventory levels, building predictive models and algorithms to improve efficiency.

Strong programming skills are essential.

Supply Chain Analyst (AI Focus) Leverages AI-powered tools to analyze supply chain performance, identify bottlenecks, and recommend solutions for improved inventory management.

Strong analytical and problem-solving abilities needed.

Machine Learning Engineer (Logistics) Designs, develops, and deploys machine learning models for inventory optimization, forecasting, and anomaly detection within logistics and supply chain contexts.

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์™œ ์‚ฌ๋žŒ๋“ค์ด ๊ฒฝ๋ ฅ์„ ์œ„ํ•ด ์šฐ๋ฆฌ๋ฅผ ์„ ํƒํ•˜๋Š”๊ฐ€

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
PROFESSIONAL CERTIFICATE IN AI-DRIVEN INVENTORY PLANNING MODELS
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
์ด ์ž๊ฒฉ์ฆ์„ LinkedIn ํ”„๋กœํ•„, ์ด๋ ฅ์„œ ๋˜๋Š” CV์— ์ถ”๊ฐ€ํ•˜์„ธ์š”. ์†Œ์…œ ๋ฏธ๋””์–ด์™€ ์„ฑ๊ณผ ํ‰๊ฐ€์—์„œ ๊ณต์œ ํ•˜์„ธ์š”.
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