Overview
DigiTwin builds and maintains a dynamic, near real-time representation of assets, services, and customer interactions by ingesting live operational data from across systems and infrastructure. This representation is modelled into a Knowledge Graph that seamlessly links physical and logical entities - such as routers, switches, services, and customer journeys - into a contextual graph that powers intelligent reasoning and impact-aware analytics. This unified digital twin eliminates data silos, accelerates root-cause analysis, and provides a single source of truth for planning, execution, and continuous improvement. Key Capabilities Unified View - Delivers a near real-time, unified view of network, customers and sales-turning data into actionable insights for intelligent data-driven decisions Scenario Simulation - Executes AI-driven simulations for forecasting, predictions, and impact analysis without disrupting live operations What-If Analysis - Uses reasoning-led AI Brain to evaluate strategic decisions, spanning network planning, product launches, and CX, enabling proactive actions before execution Knowledge Graph - Maps entity relationships for network, customer journey and sales engagements into a unified graph, enabling contextual insights and autonomous reasoning at scale.
Implementation and managed services for DigiTwin Unified Network Inventory and Simulation Platform on AWS. Services include solution deployment and configuration and ongoing support, utilizing AWS services including Amazon Bedrock, Amazon EKS, Amazon RDS, Amazon S3, Amazon EBS, and Amazon EC2.
Highlights
- Intelligent CPQ Decisioning Deploy AI-curated sales intelligence and model-based quotation creation for increased win-rate. Provide sales teams and channel partners with AI-generated winning configurations and pricing with insights on revenue opportunity, product mix, customer potential. Results 22% Increase in Opportunity Conversion 20% Increase in Sales Conversion 30% Reduction in Sales Cycle Duration
- Intelligent Network Management Digitize networks to proactively identify specific issues and reduce MTTR, service downtime, and improve network capacity forecasting, resulting in impact automation, fewer truck rolls and improved field force effectiveness. Results 60% Reduction in MTTR 80% Reduction in Service Downtime During Migrations 98% Accuracy in Capacity Forecasting
- Transforming Customer Engagement Digitize personalized interactions through digital channels to personalize messaging & experiences while reducing churn, increasing ARPU, NPS and LTV by identifying right product, price and channel for communication. Results 35% Increase in Audience LTV 20% Improvement in NPS Score 40% Reduction in Customer Churn
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