AI Supply Chain Architecture 2026 — Forecast. Optimize. Decide. Autonomously.

Описание: 📘 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗪𝗵𝗶𝘁𝗲𝗽𝗮𝗽𝗲𝗿 (𝗭𝗲𝗻𝗼𝗱𝗼 𝗗𝗢𝗜): https://zenodo.org/records/18408780
🚀 𝗝𝗼𝗶𝗻 𝘁𝗵𝗲 𝗔𝗜 𝗩𝗮𝗻𝗴𝘂𝗮𝗿𝗱 𝗡𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿:   / 7220489256505331712   💻 𝗚𝗶𝘁𝗛𝘂𝗯 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝘆: https://github.com/GaneshPrasadBhandari
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2026 is the year of the 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗜 𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻. In this video, I break down the architecture required to transition from reactive logistics to self-healing, intelligent orchestration.

We explore how to build a production-grade system that moves beyond simple forecasting to 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗠𝗮𝗸𝗶𝗻𝗴 and 𝗠𝘂𝗹𝘁𝗶-𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻.

𝗪𝗵𝗮𝘁 𝘄𝗲 𝗰𝗼𝘃𝗲𝗿:
• 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴: Moving from historical data to real-time predictive intelligence.
• 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: Specialized AI agents for procurement, inventory, and logistics.
• 𝗦𝗲𝗹𝗳-𝗛𝗲𝗮𝗹𝗶𝗻𝗴 𝗟𝗼𝗴𝗶𝘀𝘁𝗶𝗰𝘀: Closed-loop systems that detect and resolve disruptions automatically.
• 𝗗𝗮𝘁𝗮 𝗜𝗻𝘁𝗲𝗿𝗼𝗽𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Bridging ERP, WMS, and TMS silos with a unified AI data layer.

𝗔𝗯𝗼𝘂𝘁 𝗚𝗮𝗻𝗲𝘀𝗵 𝗣𝗿𝗮𝘀𝗮𝗱 𝗕𝗵𝗮𝗻𝗱𝗮𝗿𝗶: I am an 𝗔𝗜 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 & 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 with 7+ years of experience in Senior Data Science and ML roles. Currently specializing in 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗧𝗲𝗰𝗵 𝗮𝘁 𝗖𝗹𝗮𝗿𝗸 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆, I am the founder of 𝗔𝗜 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗲𝗛𝘂𝗯, a platform for production-ready AI blueprints.

𝗚𝗹𝗼𝗯𝗮𝗹 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 & 𝗔𝘂𝘁𝗵𝗼𝗿𝗶𝘁𝘆:
💼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗣𝗿𝗼𝗳𝗶𝗹𝗲:   / ganesh-prasad-bhandari-b165b9187  
✍️ 𝗠𝗲𝗱𝗶𝘂𝗺 (𝗔𝗜 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻𝘀 𝗗𝗶𝗴𝗲𝘀𝘁):   / ganeshprasadbhandari79  
📊 𝗗𝗮𝘁𝗮𝘀𝗲𝘁𝘀 & 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵: https://orcid.org/0009-0002-7308-4279

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