Overview
Retail and CPG organizations manage thousands to millions of product records across suppliers, internal systems, ecommerce platforms, marketplaces, and regulatory databases. The result is endemic: duplicate SKUs, inconsistent attributes, missing compliance data, and product content that degrades between source and shelf – digital or physical.
What bad product data costs at scale
These are not data quality problems in isolation. They drive direct commercial consequences: products that do not appear in search, catalog errors that generate returns, regulatory attributes missing at the point of compliance review, and supplier data that cannot be trusted for procurement or assortment decisions.
Rysun's Intelligent Product Data: Retail & CPG Accelerator on AWS resolves SKU fragmentation across supplier, internal, and marketplace sources and makes that data reliable enough for commerce, compliance, and analytics to depend on.
Trusted product data across commerce and compliance
Your commerce, supply chain, and analytics teams get product data they can trust and act on – supplier data normalized and onboarded, attributes enriched and classified at scale, search and discoverability enabled, and compliance attributes governed with stewardship workflows in place.
- A governed product Golden Record across supplier, internal, and marketplace sources
- Normalized and onboarded supplier data pipelines
- Complete, enriched, and classified product attributes across the assortment
- A product search and discoverability layer for commerce and catalog
- Regulatory and compliance attributes governed and stewardship-ready
Built on Amazon S3, AWS Glue, Amazon Redshift, Amazon OpenSearch Service, Amazon Bedrock, and Amazon QuickSight.
Delivered in phases over 8-12 weeks. Scope, category coverage, and source systems confirmed at engagement start. Larger programs finalized via private offer.
Highlights
- Reduce catalog errors, duplicate SKUs, and attribute inconsistencies across supplier, internal, and marketplace sources – improving search relevance, reducing returns, and accelerating time-to-shelf for new products.
- Use Amazon Bedrock to enrich and classify product attributes at scale – extracting standardized data from unstructured supplier content, completing missing fields, and reducing manual data preparation effort.
- Deliver commerce-ready product data output structured for ecommerce platforms, marketplaces, and downstream content syndication – with stewardship workflows that keep it accurate as products evolve.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Pricing
Custom pricing options
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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