
Business Problem
A legacy recall management system faced delays in identifying and responding to product recalls, risking customer safety and trust. Disparate data sources further caused compliance risks and inefficiencies, necessitating an automated solution for data scraping, inventory file processing, and timely recall responses.
Technology Solution
To address these challenges, IncubXperts implemented an AI-driven solution with the following advancements:
- Built a scalable batch processing system for ingesting openFDA recall data, ensuring efficient and accurate updates.
- Used AI-powered data scraping with rule-based algorithms and Amazon Textract to extract data from PDFs, intelligently prioritize critical recall information, and reduce response times.
- Developed a responsive web application for seamless access, filtering, and sorting of recall data across devices.
- Secured integration with openFDA’s UDI recall searches to enhance data accessibility and maintain privacy.
Technology Stack
- Frontend: Vue.js
- Database: MongoDB
- Backend & Scripting: Python, Node.js
- Cloud Services: AWS Lambda, AWS Batch, S3, EC2
- Containerization: Docker
- AI & Data Processing: AWS SageMaker, AWS Textract
Benefits & Impacts
Faster Recall Management
Reduced response times and minimized risks with faster, accurate data processing.
Better Data Accuracy
Enhanced ingestion process increased recall response speed by 30%.
Improved Inventory Precision
AI-powered processing reduced errors by 25%, enhancing product management.
Smarter Decision-Making
Better data access and interfaces enabled faster, informed decisions.
Stronger Compliance & Trust
Streamlined processes cut costs, improved adherence, and boosted customer trust.
TRUSTIMONIALS
Success Delivered, Trust Earned


