Case Study
- Order Spikes Analysis
- Product Data Hub Implementation
- EXADATA Hardware Migration - X9 to X10
- Legacy System Migration to Oracle with Golden Gate
- Migration of PeopleSoft HCM to Workday HCM
- Standardizing Item, UOM and XRef Processes with EBS
- EBS Item-Vendor Sync Resolution
- PlannerSync PDH
- Dynamic System Integration
- Agile OU Operations
- IaC Enablement Process
- Oracle EBS Optimization Initiative
- Security Patching with Ansible
- Automated Patch Management
- MC Product Hub
- Scalable Division Setup Without Hard Coding
- Data Cleanup
- Multi Unit Integration Under Single Responsibility
- CDH Enablement for Grocery
- OMS Online
- SourceLink, UAM, MESA - Angular and Java
- SailPoint IIQ
- QA Test Automation
- Devops
- Optimizing Testing Strategies in the LedgerIQ
- Java Revamp
- Enhancing Academic Efficiency Through Digitization
- API Management
- OMS Batch Modernization
- Linux Server Automation with Ansible
- Securing Servers through Standardized Hardening
- Azure Recoverability Initiative
- DC Ops Analytics
- Katalon Automation
- Linux Administration
- Leveraging AI in IoT Systems
- Intelligent Discrepancy Resolution Assistant
- AI-Driven Supply Chain Anomaly Detection and Risk Insights
- AI-Driven Traceability Platform
Intelligent Pharma Compliance Assistant
An AI-driven assistant simplifies DSCSA compliance by verifying product legitimacy, detecting fraud, automating data reconciliation and generating audit-ready reports enhancing safety, efficiency and regulatory readiness in the pharma supply chain.
Problem
Statement
The pharmaceutical supply chain struggles with counterfeit risks, inconsistent data sharing and complex DSCSA compliance requirements leading to resource strain and potential threats to patient safety.
Solution
Proposed
-
Provides a chat-based assistant that allows users to check compliance
status (e.g., “Is this batch DSCSA-compliant?”) using real-time blockchain and transaction data.
-
Identifies fraudulent activity by analyzing serialization patterns and chain-of-custody transitions.
-
Reconciles and corrects data from various formats, such as EPCIS files, automatically.
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Generates FDA-ready reports for suspect product investigations and
proactively alerts teams about potential compliance issues.
Business
Values
01
Reduces manual effort by streamlining DSCSA compliance checks.
02
Protects supply chain integrity by detecting fraud early.
03
Improves efficiency through intelligent data automation and validation.
04
Empowers non-technical users to manage compliance confidently.