Supplier Risk Prediction

AI-based Vendor Portfolio Optimization

Vigilo® Supplier Risk Prediction provides comprehensive information and visibility into the risks and impacts of disruption throughout the supply chain using AI based proprietary algorithms. It helps improve supplier planning and supplier portfolio management and create appropriate redundancy, backup, and recovery options where needed.

Use Cases

  • Identifying and prioritizing sources of raw materials and components

  • Supplier portfolio management

  • Predicting potential disruptions in supply chain

  • Inventory and financial planning using the portfolio of suppliers

Vigilo Serves


Automated Vendor Risk Optimization to Mitigate High Risk in Supply Chain

Supplier Risk Prediction by Scry Analytics is based on data-driven analytics to predict potential for disruption to parts, labor, and shipments and generate recommendations and options for management teams to support decision making.

More Detail

Collatio has been built using
the following technologies

  • Bayesian networks

  • Reinforcement learning

  • Generic rule-based machine learning

  • Heuristic algorithms

  • Data mining

  • Big data integration

  • Big data analytics

  • Reverse engineering

Key Differentiators &
Business Benefits

  • Pre-built connectors

    40+ scrapers & connectors for ingesting external data from online platforms

  • External Data Enhancement

    Integrates externally gathered data including weather and associated transport disruption risks as well as news alerts

  • Customizable Dashboards

    Provides visualization in real-time to identify alerts regarding critical inventory levels and their root causes

  • Optimized Vendor Planning

    Multiple scenario analysis of the likelihood of internal and external disruptions for improved visibility of critical uncertainties like seasonal demands, quality, etc

  • Enhanced Supply Chain Visibility

    Enhanced long-term supply chain planning visibility via consistent and comprehensive data aggregation

  • Improved Customer Satisfaction

    Higher quality items and improved timeliness to the customer because of improved SLAs