Overview
Logistics and distribution teams constantly strive to balance operational cost-efficiency with exceptional customer service. Sigmoid NetworkIQ is an AI-powered network design and optimization solution that unifies the entire logistics value chain into a single system, providing end-to-end visibility, real-time monitoring, and intelligent decision support. With smart network flow visualizations, scenario simulations, and on-the-fly optimization, NetworkIQ empowers teams to identify cost-saving opportunities, manage network flows, and enhance service levels.
Key Features:
- Simulate Network Flows – Intelligent recommendations to optimize logistics networks for cost and service level efficiency.
- Run Multiple Scenarios Scalably – “What-if” scenario modeling to test different input parameters and optimize decision-making.
- Discover Optimal Route-to-Market – Greenfield analysis to determine the best distribution center locations based on cost-to-serve.
- Maintain Inventory Levels for High SLAs – AI-driven demand insights to balance supply and prevent shortages.
- Improve Strategic and Tactical Decision-Making – Data-backed planning for short-term, medium-term, and long-term network optimization.
- Seamless Collaboration – Real-time coordination between internal teams and external partners for efficient execution.
The following AWS workloads have been used in developing the above-mentioned solution:
- Amazon SageMaker – Builds and deploys AI/ML models for predictive network optimization.
- Amazon Redshift – Processes and analyzes large-scale logistics data for actionable insights.
- AWS Glue – Integrates data across different logistics and supply chain management systems.
- Amazon S3 – Provides scalable and secure storage for historical and real-time supply chain data.
- Amazon QuickSight – Powers interactive dashboards for KPI tracking, scenario analysis, and reporting.
- Amazon EMR – Enables large-scale data processing and simulation modeling for logistics optimization.
Sigmoid NetworkIQ enables:
- Proactive issue resolution by detecting supply chain anomalies early.
- Real-time visibility into suppliers, manufacturers, and logistics providers.
- AI-powered decision-making with data-driven insights for efficient network management.
- Resilient network designs with scenario simulations to optimize cost and service levels.
Highlights
- Optimize supply chain networks with AI-powered scenario simulations and real-time monitoring.
- Enhance logistics efficiency by identifying cost-saving opportunities and improving route-to-market strategies.
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For more information on the solution, please contact abhishek.vora@sigmoidanalytics.comÂ