Aniruddha Biswas AI Supply Chain Intelligence

Portfolio & Professional Learning

Applied AI Supply Chain Lab

A portfolio of independent synthetic-data prototypes exploring how planning signals, supply-chain signals, scenario intelligence, explainable recommendations and human decision-making can be connected in enterprise decision-support experiences.

This release publishes one domain solution family — Clinical Trial Supply Chain Intelligence — together with the SAP Clinical Supply Foundation it assumes. Further portfolio groups are prepared separately and are not part of this release.

1 solution family

Clinical Trial Supply Chain Intelligence

A domain solution family combining an operational foundation with specialized clinical-trial intelligence prototypes.

Published in this release

SAP Clinical Supply Foundation

The process, object and action foundation the family assumes — clinical-supply lifecycle context expressed in SAP-aligned vocabulary.

3 in preparation

Specialized Clinical Experiences

Site performance, enrollment forecasting and site risk, and clinical supply planning and resupply. Not published in this release.

Why This Lab Exists

A working space for applied AI planning patterns

This lab is a professional portfolio and learning space, not a product catalog. It documents synthetic-data prototypes I build to explore how AI-assisted patterns can support enterprise planning, exception management, risk review and decision intelligence. The work published here covers clinical trial supply chain.

Professional Learning

The lab is a structured way to practice applied AI patterns hands-on — building risk engines, planning assistants, and decision-support workflows end to end rather than reading about them. Every prototype is a learning exercise in how AI concepts translate into planning practice.

Portfolio Demonstration

Rather than describing architecture and AI-assisted planning ideas in the abstract, the lab documents working prototypes built on synthetic data. It shows how planning problems, exception logic, and executive decision support can be expressed in modern software.

Architecture Exploration

Each prototype explores architecture questions that matter in real SAP planning transformations: how to separate business logic from data sources, how to design adapter layers for future integration, and how to keep AI-assisted patterns governed and explainable.

Clinical Trial Supply Chain Intelligence

A domain solution family, not a single prototype

Life sciences and clinical operations are handled as their own solution family: an operational foundation plus specialized synthetic-data intelligence prototypes for clinical-trial planning, enrollment, site operations, clinical supply, risk review, and human-governed action.

Solution Family Gateway

Clinical Trial Supply Chain Intelligence

A family of synthetic-data decision-intelligence prototypes supporting clinical-trial planning, enrollment, site operations, clinical supply, risk review, and human-governed action.

Clinical OperationsEnrollment OutlookClinical SupplyRisk IntelligenceSynthetic Data
Explore Clinical Supply Family
FoundationSAP Clinical Supply FoundationProcess and object foundation: clinical-supply lifecycle context, SAP-aligned objects and action vocabulary. Architecture, not an application.
Specialized ExperienceClinical Trial Site Performance IntelligenceCurrent site execution: site ranking, observed recruitment performance, operational-risk indication, data-quality monitoring, and scenario intelligence.Coming soon
Specialized ExperienceClinical Enrollment Forecasting & Site Risk IntelligenceForward enrollment outlook: forecast trajectory, forecast methodology, rolling-origin evaluation, and site contribution to forecast risk.Coming soon
Specialized ExperienceClinical Supply Planning & Resupply IntelligenceKit-demand translation, depot and site inventory exposure, stockout and expiry risk, resupply candidates, exception priority, and SAP-oriented action proposals.Coming soon

A process and object foundation plus three specialized experiences within this family, each owning a distinct decision domain. The foundation is published in this release; the three specialized experiences are in preparation and kept in a controlled staging environment on fully synthetic data. Future clinical-trial POCs can join the same family without changing the primary website architecture.

Lab Guardrails

Synthetic data onlyJoule-inspired, not official SAP JouleNo live SAP connectionNo client or employer dataNot production decision software

Professional Discussion

Interested in the planning patterns, architecture choices, or applied AI approach behind this lab?

Contact for professional discussion