Digital supply chain
transformation, delivered.

Aagosh Bansal is a digital supply chain transformation and advanced planning system (APS) implementation lead, currently Manager Consultant in Supply Chain & Operations at EY GDS in Noida, India. He has 8+ years delivering planning transformation for Fortune 500 manufacturers in chemicals, pharmaceuticals and agriculture, with 5+ OMP go-lives across APAC, EU and North America. He is also a computer science engineer who builds AI — RAG pipelines, LLM agents and MCP integrations — into the delivery programmes he runs.

OMP (OPR and S&OP), Kinaxis RapidResponse, SAP APO, SAP IBP, SAP ECC and UTL. He is OMP User Engagement certified and holds Kinaxis RapidResponse Author Level 1 and Contributor Level 1 certifications. He has led 5+ OMP go-lives as rollout lead and was workstream lead on a Kinaxis RapidResponse implementation contributing roughly $5.2M in annual savings.

He builds and ships AI inside live delivery programmes rather than commissioning it. Examples include an incident triage agent trained on a historical incident repository that cut P3/P4 resolution time by 14%, a configuration and ACC-versus-PROD delta chatbot that reduced back-and-forth during cutover, retrieval-augmented generation (RAG) pipelines grounded so answers cite the source record, and Model Context Protocol (MCP) integrations connecting language models to live business systems.

He holds an M.S. in Management Science with a supply chain specialisation from the University of Texas at Dallas, and a B.E. in Computer Science Engineering with honours from Medicaps University, where he headed the Innovation Cell. Before EY he was a Supply Planner at Johnson & Johnson, where he recovered $136M in inventory by tracing a false restricted-use classification before write-off and prevented an $11M stockout. He began in his family’s organic agricultural export business, where he built the SCM platform that digitised it.

Yes. He is open to supply chain transformation, APS implementation delivery and applied-AI roles across Germany, Belgium, the Netherlands, Ireland and the UK, on-site, hybrid or remote. He can be reached at [email protected] or via linkedin.com/in/aagoshbansal.

Yes, in production rather than in pilot. He built and runs an incident triage agent trained on a live delivery programme’s historical repository, which proposes resolutions and cut P3/P4 resolution time by 14%. He also builds the guardrails around such systems — his retrieval pipelines are designed to abstain and cite their source record rather than guess, because inside a cutover a confidently wrong answer is worse than no answer. This maps directly onto the 2026 shift of agentic AI moving from proof-of-concept into core planning processes.

The combination of delivery accountability and engineering capability. Most supply chain consultants specify AI and hand it to a technical team; because of his computer science background he builds and ships it himself, inside programmes where he is also accountable for the plan, risks and release readiness. That means the AI is designed around what actually breaks in a rollout — grounded retrieval where a wrong answer would cost a cutover — rather than around what demos well.