리뷰 | EY 언스트앤영: 물류/유통 산업의 생성형AI 활용 전략

2024 물류/유통산업-인공지능 과정 기획 업무 중 생성형AI에 대한 마음에 드는 포스트가 있어서 가볍게 정리하고 공유합니다. – 동준상


원제: How supply chains benefit from using generative AI

Authors: EY / Glenn Steinberg, Matthew Burton, Contributors

  • Around 40% of supply chain organizations are investing in GenAI,
  • Focusing on knowledge management applications.
  • GenAI can prove to be an agile co-advisor and multiplier in strengthening supply chains.

Projects enabled through GenAI’s ability

  • Classify and categorize information based on visual, numerical or textual data.
  • Quickly analyze and modify strategies, plans and resource allocations based on real-time data.
  • Automatically generate content in various forms that enables faster response times.
  • Summarize large volumes of data, extracting key insights and trends.
  • Assist in retrieving relevant information quickly and providing instant responses by voice or text.

Plan: generating simplicity with AI

  • GenAI adds simplicity to interactions throughout tech-enabled planning efforts.

Where GenAI drives value in planning

  • Demand forecasting – With GenAI, optimal inventory levels, production schedules and distribution plans can be created to meet the customer demand efficiently.
  • Production planning – GenAI can make production plans, schedule sequences and allocate resources effectively to minimize bottlenecks and optimize production efficiency.
  • Risk management – GenAI can be prompted to produce risk assessments, scenario simulations and mitigation strategies on demand to help planners manage and mitigate the risks proactively.

EY 포스트 더 보기
https://www.ey.com/en_gl/supply-chain/how-generative-ai-in-supply-chain-can-drive-value


끝 | 감사합니다.
동준상.넥스트플랫폼

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