Aniruddha Biswas AI Supply Chain Intelligence

THOUGHT LEADERSHIP

Practical thinking on planning transformation

Practical perspectives on SAP planning, applied AI, and decision intelligence — how governance, explainability, and disciplined execution turn planning signals into supply chain transformation, grounded in 26+ years across supply chain, SAP planning, and IT services, including 20+ years in SAP consulting and transformation.

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A curated intelligence hub tracking SAP Joule, SAP IBP, Kinaxis, Blue Yonder, o9, Oracle SCM, and AI adoption across supply chain planning, procurement, logistics, manufacturing, and clinical supply chain.

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Articles

Thought Leadership

Aniruddha Biswas logo and the title Why Supplier Risk Belongs Inside Planning beside a panel, From warning to action, listing four stages: detect and verify, assess exposure, recommend with alternatives, and authorize and follow up.

Thought Leadership · Supplier risk and planning intelligence

October 29, 2026 / 11 min read

Why Supplier Risk Belongs Inside Planning

Supplier-risk monitoring creates planning value only when it changes a feasible, accountable decision. Here is a practical way to trace a supplier warning into affected materials and orders, test what can still be done, and decide who approves the response.

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Aniruddha Biswas logo and Turning Inventory Signals into Prioritized Actions title beside a decision queue: confirm exposure, compare feasible options, and assign action and owner.

Thought Leadership · Inventory and planning intelligence

October 1, 2026 / 7 min read

Turning Inventory Signals into Prioritized Actions

An inventory alert tells a planner where to look. A useful decision process shows what is exposed, which responses are feasible, and what should be handled first. Here is a practical way to turn shortage and excess signals into explainable actions.

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Human-in-the-loop enterprise planning decision flow from signal and AI recommendation through human judgment, governed action and feedback.

September 3, 2026 / 8 min read

Human-in-the-Loop AI for Enterprise Planning

Enterprise planning AI becomes useful when it can detect signals, assemble context, generate feasible options, quantify trade-offs and route consequential decisions to the right human authority. Human-in-the-loop design should not mean adding an approval button to every AI output; it should define where automation ends, where judgment begins and how decisions move into governed execution.

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