BY ASH MOHAMMED | NOVEMBER 25, 2023
Overview
An American multinational corporation specializing in medical devices, pharmaceuticals, and consumer packaged goods utilized Nextgen IT AI Services to integrate AI-driven insights into their business operations. This initiative focused on detecting unusual supply chain patterns, automating customer service, and enhancing disease detection and prevention, ultimately boosting efficiency and customer satisfaction.
Background
In the realm of life-saving medications and critical surgeries, AI can make a significant impact. Smart inspection capabilities allow hospitals to automatically manage the supply chain of crucial hardware. In surgical settings, AI-powered visual inspection ensures all necessary equipment is present in the operating room and verifies proper placement of surgical staples for optimal post-operative healing.
For each of the 25+ use cases for this client, Nextgen IT developed unique models trained with specific data relevant to each scenario. This included shipping and packing data for smart inspections of medical cabinets and operational data for surgical tools. Although conceptually straightforward, training these models with precise data required expert knowledge and precision to meet rigorous FDA inspections and approvals.
The challenge
The client sought to rapidly implement end-to-end traceability across their supply chain. Their goals included leveraging AI and machine learning to identify unusual supply chain patterns, automate customer service, enhance disease detection and prevention, and increase efficiency and productivity in surgical operations, patient care, and other areas.
The solution
Turing AI Services consulted with the client and developed a marketplace for several AI models for several functional areas. This included model implementation and management within both the marketplace and the client’s production lines, and integration with the client’s existing case management platform.
The result
With Nextgen IT AI Services, the client experienced significant improvements, including:
- Enhanced on-time delivery
- Reduced materials waste throughout the supply chain
- 15% improvement in product recall efficiency
- 6.4% increase in customer satisfaction through AI-based call qualification, routing, and auto-answer capabilities
Tech and skills used
- AI/ML
- Deep Learning
- Kubernetes
- MLOps
- NLP
- Python
- AWS
- Azure
- C#
- Data Engineering
- Data Science
- Test Automation