On-Demand Webinar:
Resilinc’s Predictive Analytics Engine
Watch Now!
To ensure a more resilient supply chain, you need to be able to detect the problem promptly, understand the impact, and act quickly. The way to get there is by leveraging AI and machine learning to become more predictive.
In this session, Resilinc's CTO, Sumit Vakil, and Director of Product Management, Sandeep Ramachandran, covered Resilinc's On-Time Delivery Prediction Engine that leverages AI and machine learning to identify how a supplier will perform - in the face of disruption - by analyzing past events and on-time delivery data.
During the discussion, they showed how the predictive analytics tool:
- Sends alerts about a new, potentially disruptive, event anywhere in the world
- Predicts impact likelihood
- Predicts which suppliers are most at risk of delivering POs late and by how long
- Identifies how affected suppliers will perform and propose a risk mitigation action plan
Speakers
Sandeep Vakil
CTO, Resilinc
Sandeep Ramachandran
Director of Product Management, Resilinc