How does an American multinational corporation that develops medical devices, pharmaceuticals, and consumer packaged goods bring AI insights to their business?
They use Turing AI Services to leverage the power of AI to detect unusual supply chain patterns, automate their customer service experience, and support the detection and prevention of diseases for improved efficiency and customer satisfaction.
When it comes to life saving medications and critical surgeries, AI makes all the difference. Smart inspection capabilities makes it possible for hospitals to manage their supply chain of important hardware automatically. For surgeries, combined with visual inspection capabilities, AI let’s surgical teams know if all necessary equipment is accounted for in the operating room—even helping determine if surgical staples are placed properly for the best post-operative healing.
For each of the 25+ use cases for this client, Turing created a unique model trained with data specific to each case. This meant shipping and packing data for the smart inspection in the cabinets or surgical tools and operations data for the operating rooms. While conceptually simple, getting the model trained with the right data requires expert knowledge and precision to pass rigorous FDA inspections and approvals.
The client needed to implement end-to-end traceability, fast. They wanted to leverage the power of AI and machine learning to detect unusual patterns in their supply chain, automate their customer service experience, support the detection and prevention of diseases, and accelerate efficiency and productivity in their surgical operations, patient care, and other functional areas.
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.
With Turing AI Services, the client saw an overall improvement in on-time delivery and a dramatic reduction in materials waste throughout their supply chain. We improved product recall efficiency by 15% and increased customer satisfaction by 6.4% through AI-based call qualification, routing, and auto-answer capabilities.
AI/ML, Deep Learning, Kubernetes, MLOps, NLP, Python, AWS, Azure, C#, Data Engineering, Data Science, and Test Automation
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