Overview
Unpredictable vendor performance, shipment delays, and cost variances are disrupting global supply chains and inflating operational costs. Meanwhile, manual reviews continue to fail to detect real-time risks. This demo showcases how Supplier Risk Scoring Analytics through ML Models identifies high-exposure shipments and delivers actionable visibility for procurement leaders. The solution enables up to 60% reduction in late penalties and 30% margin improvement through proactive, data-driven mitigation.
Timeline:
00:00 – Introduction
00:22 - Business Challenges
01:05 - Suppliers Risk Scoring - Objectives...
01:26 - Values for Risk S...
Unpredictable vendor performance, shipment delays, and cost variances are disrupting global supply chains and inflating operational costs. Meanwhile, manual reviews continue to fail to detect real-time risks. This demo showcases how Supplier Risk Scoring Analytics through ML Models identifies high-exposure shipments and delivers actionable visibility for procurement leaders. The solution enables up to 60% reduction in late penalties and 30% margin improvement through proactive, data-driven mitigation.
Timeline:
00:00 – Introduction
00:22 - Business Challenges
01:05 - Suppliers Risk Scoring - Objectives
01:26 - Values for Risk Scoring ML Analytics
02:14 - Demo: Supplier Risk Scoring with ML Analytics
02:35 - ML Model Driven Risk Scoring Flow
03:04 - Supplier’s Risk Score ML Analytics – Dashboard
05:59 - Summary
06:25 - Thank You
See how ML-driven analytics delivers real-time supply chain visibility and impact. Explore more at www.miraclesoft.com/aiforbusiness.