Sold by: Rysun Labs
Unified customer identity across retail and ecommerce channels -- resolving loyalty, in-store, and digital profiles into a governed Golden Record that powers accurate churn prediction, personalization, and AI-ready customer context for conversational and agentic service.
Overview
Retail and ecommerce organizations sit on enormous volumes of customer data – and most of it is fragmented. Loyalty records that do not match ecommerce profiles. In-store purchase history disconnected from mobile behavior. CRM contacts that duplicate across regions.
When customer data works against you Fragmented customer data does not just create reporting problems – it actively undermines the programs built on top of it. Churn models that score on incomplete behavioral data. Personalization engines firing the wrong recommendations. Conversational AI tools that contradict themselves because they have no single source of truth to draw from.
Rysun's Customer 360 platform on AWS resolves customer identity across heterogeneous sources, builds a governed Golden Record, and enables the analytics, segmentation, and AI-ready data layer your organization needs to act on customer data in real time.
A unified view of every customer
Rysun delivers a unified, governed customer record – with the identity resolution, analytics, and AI-ready context layer that makes it actionable for churn prevention, personalization, CLV growth, and conversational customer service. The architecture and operating model are yours to own and extend after delivery.
- Unified customer identity resolved across online, in-store, loyalty, and third-party sources
- A governed Golden Record with full lineage – a single trusted version of every customer
- Predictive analytics for churn scoring, CLV modeling, and behavioral segmentation
- Personalization-ready customer data for cross-sell, upsell, and next-best-action recommendations
- AI-ready customer context layer powering conversational and agentic customer service on a single trusted profile
Recommended AWS stack
Amazon S3, AWS Glue, Amazon Redshift, AWS Lambda, Amazon OpenSearch Service for fuzzy and semantic matching, Amazon SageMaker AI for predictive analytics, Amazon Personalize for recommendations, Amazon Bedrock for conversational and agentic AI, Amazon QuickSight for dashboards.
Delivered in phases over 8-12 weeks. Scope, domain priorities, and source system coverage confirmed at engagement start.
Highlights
- Build a unified, governed Golden Record for every customer across retail and ecommerce channels – creating the trusted data foundation that analytics, AI, and operational teams can rely on.
- Enable conversational AI assistants and agentic customer service workflows that draw on a single, real-time trusted customer profile – so every AI-driven interaction reflects accurate purchase history, loyalty status, preferences, and open issues.
- Activate predictive churn scoring, lifetime value modeling, behavioral segmentation, and next-best-action recommendations – built on Amazon SageMaker AI and Amazon Personalize using your governed customer master data.
Details
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Delivery method
Deployed on AWS
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Support
Vendor support
Rysun provides support across all phases of this engagement including scoping, delivery coordination, architecture guidance, and post-delivery stabilization.
Email: info@rysun.com