Sold by: Rysun Labs
Purpose-built product MDM for furniture and home goods - governing configurable products, variant structures, and supplier specifications in a single trusted model built for the attribute depth that digital commerce and B2B channels demand.
Overview
Furniture and home goods organizations manage product data unlike any other retail category. A single sofa is a matrix of frames, fabrics, finishes, dimensions, and lead times – each combination a potential record, each supplier delivering specifications in a different format. Configurations live in spreadsheets. Attribute gaps drive digital returns. Supplier feeds cannot be normalized without significant manual effort.
Why furniture product data breaks differently
Generic product MDM approaches were not designed for configurability at this level. Without a data model that understands variant matrices, option sets, and component relationships, the problem does not get solved – it gets managed around. Rysun's Configurable Product Master Accelerator for Furniture and Home is purpose-built for this complexity.
A governed structure for configurable products
Rysun helps ensure every configuration, variant, and supplier specification is governed in a single product model – built for how furniture actually works, not adapted from a generic approach.
- A single governed product record across all configurations, variants, and supplier sources
- Normalized supplier specifications – regardless of format or structure at source
- Complete, enriched product attributes across the full assortment
- A product search and filtering layer ready for digital commerce and trade channels
Delivered in phases over 8-12 weeks. Scope, category coverage, and supplier source systems confirmed at engagement start.
Recommended AWS stack Amazon S3, AWS Glue, Amazon Redshift, Amazon OpenSearch Service, Amazon Bedrock, Amazon QuickSight.
Highlights
- Configurable product data model for furniture and home – managing option sets, variant matrices, finish libraries, and component relationships in a single trusted structure across supplier, internal, and commerce systems.
- Reduce digital return rates and catalog errors by ensuring product attributes – dimensions, materials, finish options, assembly details, and care requirements – are complete, accurate, and consistent before they reach commerce channels.
- Normalize and enrich supplier specification data at scale using Amazon Bedrock – standardizing incompatible formats, completing missing attributes, and scoring product data completeness across the full assortment.
Details
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Delivery method
Deployed on AWS
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Pricing
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Legal
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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