Riversand: implementation and integration

325MMDM/PIM entities managed by the platform

10k+data quality rules executed up to 1M times per day

257Mdigital assets (DAM) under management

LeaderGartner Magic Quadrant for MDM Solutions (2020 and Dec. 2021), the only pure-play cloud-native SaaS in the Leaders quadrant

Industry solutions

What you can do with Riversand

All Solutions

Retail and e-commerce Merge product records from ERP and suppliers into a single catalog and publish to the website and marketplaces Assortment management and product listing — faster launch of new SKUs without manual exportsLearn more →Manufacturing Unified reference of materials, components and technical data for all plants and systems Specification and procurement management — fewer order errors from out-of-sync reference dataLearn more →FMCG / CPG Reference product data with GS1/GDSN attributes and syndication to retailers Product onboarding into retail chains — faster listing and a lower share of rejected recordsLearn more →Distribution and wholesale Merge catalogs from many vendors into one normalized assortment Multi-vendor catalog management — consistent data quality across all suppliersLearn more →Financial services and insurance Golden customer record from CRM, billing and requests with deduplication Customer 360 and KYC — a single customer profile instead of duplicates across systemsLearn more →DIY and home goods Managing a large assortment with thousands of attributes and digital assets Record enrichment and publishing — complete records raise conversion and reduce returnsLearn more →Healthcare and pharmaceuticals Reference data on drugs, suppliers and locations with compliance control Reference data management and compliance — lower risk from incorrect attributesLearn more →Automotive industry Unified parts catalog with model fitment and cross-references Spare-parts catalog and fitment management — accurate part matching reduces returnsLearn more →

Capabilities

Riversand capabilities

Sources: ERP, suppliers, CRM, files, external catalogsAttribute import and normalizationAI identity stitching and deduplicationGolden record (single source of truth)Quality control: 10,000+ validation rulesGovernance: approval workflows and data KPIsAPI syndication to channelsChannels: website, marketplaces, ERP, mobile app, printData quality and catalog completeness analytics

Master data flow in Riversand: disparate sources are consolidated into a single reference, pass quality control and are distributed to all consuming channels. The diagram shows the platform's role as the single point of truth between data input and output.

Multi-domain MDM

Products, customers, suppliers and locations are managed in one model — a single version of the truth instead of out-of-sync reference data in every system.

Golden record creation

Identities from many sources are stitched by AI algorithms into one reference profile — duplicates and conflicts in product and customer records are eliminated.

Data quality framework

10,000+ validation rules and 20,000+ custom checks catch errors before publishing — fewer returns and complaints caused by wrong attributes.

Product information management (PIM)

Complete, enriched records are prepared once and reused — cutting time-to-market for new SKUs and product lines.

Syndication to channels

Data is distributed to the website, marketplaces, ERP and print via API — you can sell in a new channel without manually rebuilding exports.

Workflow and data governance

Approval routes and data KPIs assign accountability — a controlled process instead of blind edits in Excel.

Microservice cloud-native architecture

Components scale independently to match catalog load — the platform handles assortment growth without rewriting the core.

App-based extensibility

Business logic moves into apps and microservices alongside the core — customization without forking, while platform updates stay painless.

Data and asset analytics (DAM)

Data quality and catalog completeness are visible in dashboards — assortment decisions are made on facts, not guesses.

Approach

How we implement Riversand

Minimal core modification

We don't fork or patch the Riversand core. Riversand stays on the standard upgradeable version — we move business logic into separate microservices alongside, so platform updates don't break your customizations.

International Standards, Not Homegrown Hacks

Where a mature international solution exists, we use it instead of inventing our own protocol or platform. Before writing code, we study how the problem is already solved in the industry.

Transferability

The solution is loosely coupled and documented: it can be handed over between teams and contractors without rewriting. You are not tied to us.

AI compatibility

Riversand in the AI loop

AI identity stitching

Matching and deduplication algorithms link records from different sources into a golden profile — the basis for reliable master data for downstream analytics and AI.

Clean master data as a foundation for AI

PIM/MDM provides a structured, verified body of attributes — a quality input for recommendation models, search and description generation.

API-first and microservices

Open APIs and a service architecture let you connect external AI services and MCP agents to the catalog without touching the platform core.

Quality and enrichment automation

Validation rules and automation fill gaps and normalize attributes — reducing the manual workload of content managers.

Agentic commerce readiness

Syndigo is building AI GoPilots and agentic scenarios on top of the catalog — a single data source makes AI agents in commerce predictable and controllable.

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