case studies

Modernizing Subscription Business with AI/ML

Executive Summary

xFactrs modernized its subscription revenue assurance process by leveraging AWS-based AI/ML and Generative AI solutions. This new architecture, implemented by Axcess.io, streamlined operations, enhanced predictive insights, and effectively reduced revenue leakage.

Project Objective

Migrate to a secure, cloud-native AI/ML environment.
Integrate real-time AI capabilities for revenue leakage detection.
Automate manual revenue assurance processes.
Deploy AI-driven predictive analytics for proactive insights.

About Customer

xFactrs, Inc., a California-based company, specializes in lead-to-cash optimization and revenue assurance for subscription businesses. They integrate advanced AI-driven analytics into billing and CRM systems to proactively detect and prevent revenue leakage.

The Solution

Cloud Migration & Modernization

Transitioned infrastructure to a multi-account AWS environment using Control Tower, providing a well-architected framework with robust security and automated governance.

Automated AI/ML Deployment

Leveraged Amazon SageMaker to package and deploy AI/ML models, automating training/inference to detect revenue leakage in real-time.

Scalable Predictive Analytics

Integrated AI-driven decision intelligence, powered by AWS Bedrock and NLP models, providing real-time leakage detection and proactive alerts.

The Benefits

Streamlined Operations

Automated workflows reduced manual interventions.
Improved collaboration across teams.
Accelerated innovation for increased profitability.

Enhanced Data

Reduced latency in transactional data processing.
Enabled accurate and timely insights.
Optimized the ETL pipelines.

Future-Proof Infrastructure

Scalable cloud architecture for seamless expansion.
Improved compliance and security.
Supports evolving business needs.

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The axcess.io Advantage

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