AftEAZE – Tech Mahindra’s AI powered Digital Aftermarket Platform

Tech Mahindra’s AftEAZE, built on Amazon Web Services (AWS) and powered by the Pega Platform™, is a cloud-native solution revolutionizing aftermarket operations with enterprise-grade security, scalability, and intelligence.

AftEAZE manages the entire post-sale lifecycle—telematics monitoring, fleet management, proactive servicing, intelligent diagnostics, first-time-right repairs, warranty claims, and supplier recovery—via a unified AI platform. It automates complex processes, enhances digital experiences, and enables new business models like parts marketplaces, extended service contracts, and technician support—reducing warranty costs and improving recovery.

Hosted in Amazon VPC with AWS IAM governance, it uses Amazon S3 for secure storage and Amazon Bedrock for GenAI insights. Event-driven microservices run on AWS Lambda and Amazon API Gateway, while container workloads operate on Amazon ECS with Amazon Fargate or Amazon EC2. Core data resides in Amazon RDS, images in Amazon ECR, and observability is ensured via Amazon CloudWatch and Amazon Managed Grafana, complemented by analytics in Amazon QuickSight.

Powered by agentic AI models, AftEAZE integrates connected asset data with service management and claims adjudication. GenAI and LLM models via Amazon Bedrock deliver predictive insights from documents, images, and videos in Amazon S3. Using Pega GenAI Blueprint™, customizations accelerate deployment. Infrastructure spans serverless, container, and data layers—monitored through Amazon CloudWatch and visualized in Amazon QuickSight and Amazon Managed Grafana.

Key Features

• Connected Vehicle Management maximizes uptime with live monitoring and predictive services for drivers, fleets, and command centers. Telemetry flows through API Gateway and Lambda, stored in S3/RDS, visualized in Amazon Managed Grafana, and operationalized on ECS/Fargate/EC2, with health tracked in Amazon CloudWatch.

• Service Lifecycle Management delivers connected, collaborative service for advisors, managers, and technicians, including AR/VR diagnostics. Identity and access via AWS IAM; workflows on Lambda/ECS; case data in RDS; artifacts in S3.

• Parts and Inventory Management accurate demand forecasting, remanufacturing support, and optimized logistics. Models run on Bedrock, inventory in RDS, analytics in QuickSight, reliability via CloudWatch.

• Warranty Management automates claims intake/adjudication, detects anomalies, and enables supplier recovery. Documents in S3, insights via Bedrock, APIs through API Gateway, validation on Lambda, governance via IAM.

Key Benefits

1. Intelligent Automation: End-to-end digital case management with automated workflows powered by Pega, orchestrated across Lambda and ECS/Fargate, backed by RDS and S3.
2. Digital Experience Excellence: Omnichannel platform integrating web, mobile, and offline, secured via API Gateway, low latency via Lambda, and content on S3.
3. Smart Policy Execution: Robust rules engine for aftermarket and warranty operations, with policy controls in IAM, storage in RDS, and auditability via CloudWatch.
4. Real-Time Intelligence: ML and LLM models convert data into actionable insights using Bedrock, telemetry observed via CloudWatch, dashboards in QuickSight/Grafana.
5. Seamless Integration: Wizard-based connectors and standardized APIs ensure interoperability, secured in VPC, exposed via API Gateway, integrated with VPC endpoints.
6. Legacy Modernization: Wrap-and-renew approach modernizes legacy apps. Workloads containerized on ECS/Fargate/EC2, images in ECR, data in RDS, monitored via CloudWatch.
7. Future-Ready Innovation: Scales with AI, AR/VR, IoT, and cloud solutions—secured in VPC, governed by IAM, elastically scaled on EC2/Fargate, accelerated by Bedrock