Sigmoid SupplyIQ

Supply chain disruptions can lead to delays, increased costs, and customer dissatisfaction. Many companies struggle with fragmented systems and siloed data that hinder operational efficiency. Sigmoid SupplyIQ redefines supply chain management by offering a unified data and analytics-driven ecosystem for integrated planning, seamless execution, and real-time optimization. By leveraging predictive analytics and AI-driven decision-making, businesses can proactively address challenges, streamline operations, and maximize value delivery.

Key Features:

1. Decision Intelligence Framework – Data-Driven Insights Empowers supply chain stakeholders with actionable insights to drive smarter decisions.
2. Real-Time Monitoring – Proactive Performance Tracking Continuously tracks supply chain performance and detects potential disruptions for quick resolution.
3. Persona-Based Reporting – Tailored Role-Specific Insights Provides dynamic dashboards customized for different stakeholders to ensure informed decision-making.
4. Predictive Analytics – Demand Forecasting & Risk Mitigation Uses AI-driven analytics to forecast demand, identify trends, and minimize supply chain risks.
5. Automated Alerts – Instant Anomaly Detection Sends real-time notifications for supply chain disruptions, anomalies, or critical events.
6. Self-Service Data Access – Independent Data Exploration Enables users to access, analyze, and manage supply chain data without IT dependency. Personalized KPI Dashboards for Supply Chain Optimization:
7. Cost-to-Serve Summary – Optimized Distribution Strategies Analyzes service costs across different customer locations to improve resource allocation.
8. Sourcing & Procurement – Smart Supplier & Product Tracking Monitors high-volume, price-volatile products and suppliers for cost-effective procurement decisions.

The following AWS workloads have been used in developing the above-mentioned solution:

1. AWS Glue – Orchestrates data integration pipelines to unify data from multiple sources.
2. Amazon S3 – Serves as the central data storage layer for scalable data management.
3. AWS Lake Formation – Ensures unified data governance across the supply chain ecosystem.
4. Amazon SageMaker – Powers predictive analytics and machine learning for demand forecasting and risk detection.
5. Amazon Redshift – Enables high-speed data processing and in-depth supply chain analytics.
6. Amazon QuickSight – Provides intuitive dashboards and visualizations for real-time monitoring.