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Product Information & Commerce Data Platform for a Multi-Brand eCommerce Retailer

Plavno developed a commerce data platform for a multi-brand online retailer to centralize catalog information, improve product content consistency, and support scalable merchandising across multiple storefronts and channels.

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Overview

Key Metrics & Impact

The client managed thousands of SKUs across several brands, digital storefronts, and marketplace feeds. Product data was fragmented across spreadsheets, ERP exports, CMS content, and channel-specific tools. The platform created a governed product intelligence layer for catalog management, enrichment, validation, and downstream commerce delivery.

  • Faster catalog updates and merchandising workflows

  • Better consistency of product data across brands and channels

  • Reduced manual effort in maintaining marketplace and storefront feeds

  • Improved reuse of product content and digital assets

  • Stronger foundation for personalization, recommendations, and omnichannel commerce growth

Solutions
Challenges
Use Cases
<span>Key Metrics</span> & Impact
01

Problem

The retailer’s product information was spread across too many systems and teams.

Common challenges included:


  • Fragmented catalog data across brands and tools

  • Inconsistent product attributes and category mapping

  • Manual updates to storefront and marketplace feeds

  • Weak synchronization between ecommerce, merchandising, and content teams

  • Difficulty reusing product content across channels


As assortment size and sales channels increased, catalog quality became harder to maintain.

Problem
02

Challenge

The platform needed to:


  • Centralize product and attribute data across brands

  • Standardize taxonomy and category logic

  • Support content enrichment and asset reuse

  • Integrate with storefronts, marketplaces, and ERP outputs

  • Provide validation rules for catalog quality and completeness


There were also important constraints:


  • Each brand had slightly different merchandising logic

  • Source systems could not be replaced immediately

  • Product data quality varied significantly across categories

  • The solution had to support future personalization and recommendation use cases

Challenge

Solution

Product Information & Commerce Data Platform

A governed product intelligence layer for ecommerce environments, combining centralized product modeling, taxonomy standardization, content enrichment, and marketplace integrations to build a scalable foundation for catalog operations and omnichannel growth.

Product Highlights

    • Centralized product data hub

    • Attribute and taxonomy standardization

    • Content enrichment workflows

    • Channel-ready product feed generation

    • Asset reuse across brands and storefronts

    • Validation rules for catalog completeness

    • APIs for downstream commerce systems

User Flows

    • Ingest Product Data: The platform collects product data from ERP exports, content systems, and merchandising tools.

    • Enrich & Validate: Teams update attributes, descriptions, assets, and category mapping through governed workflows.

    • Distribute Across Channels: Validated product data is delivered to storefronts, marketplaces, and internal commerce systems.

    • Monitor Catalog Quality: Teams track completeness, consistency, and channel readiness across the product base.

Experience & Scalability

    • Supports multi-brand ecommerce operations

    • Suitable for large catalogs and omnichannel product delivery

    • Works across storefronts, marketplaces, and internal systems

    • Designed for merchandising, catalog, and ecommerce operations teams

    • Scalable for future personalization and recommendation use cases

Architecture Overview

Deep Dive: Project Architecture

  • Product Data Layer: Structured storage of SKUs, attributes, categories, pricing-related metadata, and content assets.

  • Governance Layer: Validation rules, completeness checks, and standardized taxonomy controls.

  • Enrichment Layer: Editorial workflows for descriptions, imagery, and channel-specific product enhancements.

  • Distribution Layer: APIs and feeds for storefronts, marketplaces, and downstream commerce systems.

  • Monitoring Layer: Catalog quality dashboards and operational visibility into product readiness.

  • Infrastructure Layer: Scalable commerce data architecture supporting multi-brand operations.

Deep Dive: <span>Project Architecture</span>

Value

Quality & Fidelity

Delivering more consistent product data, faster merchandising workflows, and stronger omnichannel commerce readiness

Better Catalog Consistency

Better Catalog Consistency

The platform standardizes product information across brands and channels.

Catalog governance
Product data
Consistency
MVP
MVP
Faster Merchandising Execution

Faster Merchandising Execution

Teams can update and distribute product data more efficiently.

Merchandising ops
Product enrichment
Speed
MVP
MVP
Stronger Asset Reuse

Stronger Asset Reuse

Product content and digital assets are easier to reuse across channels.

Digital assets
Content reuse
Omnichannel
MVP
MVP
Better Commerce Data Foundation

Better Commerce Data Foundation

The retailer gains a stronger layer for future personalization and recommendations.

Commerce platform
Product intelligence
Scalability
MVP
MVP

Benchmarks

Scale & Reliability

Built to support large product catalogs, multi-brand retail operations, and repeatable omnichannel merchandising

Large Catalog Support

Large Catalog Support

Handles thousands of SKUs and attribute combinations across brands.

SKU scale
Product complexity
Brand operations
Stable Feed Delivery

Stable Feed Delivery

Supports channel-ready publishing to storefronts and marketplaces.

Commerce feeds
Channel sync
Delivery stability
Governance at Scale

Governance at Scale

Validation and taxonomy controls remain manageable as the catalog grows.

Governance
Taxonomy growth
Catalog control
Extensible Commerce Architecture

Extensible Commerce Architecture

Prepared for future recommendation, personalization, and marketplace growth.

Extensibility
Personalization readiness
Long-term value

Data Protection

Security & Compliance

Enterprise-grade protection for product data, merchandising workflows, and multi-channel commerce operations

Role-Based Access

Role-Based Access

Different teams manage the catalog areas relevant to their responsibilities.

Controlled Publishing Workflows

Controlled Publishing Workflows

Product updates move through governed workflows before downstream delivery.

Better Catalog Oversight

Better Catalog Oversight

The retailer gains stronger visibility into how product data changes over time.

Innovative Experience

Industries & Use Cases

Product intelligence and commerce data platforms for multi-brand ecommerce organizations

Multi-Brand Retailers

Multi-Brand Retailers

Unify product information across brands and storefronts.

Marketplace-Driven Ecommerce

Marketplace-Driven Ecommerce

Improve feed quality and channel readiness for third-party sales platforms.

Omnichannel Commerce Teams

Omnichannel Commerce Teams

Support consistent data delivery across multiple digital channels.

Personalization-Ready Retail Systems

Personalization-Ready Retail Systems

Create a cleaner product data foundation for future AI use cases.

Delivery Crew

Project Team

High-performing developers for growing companies

Eugene Katovich

Eugene Katovich

Sales Manager

Need a product information and commerce data platform for multi-brand ecommerce?

Plavno builds product intelligence systems that unify catalog data, improve consistency, and support scalable omnichannel merchandising.

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Competitive Ability

Key Performance Flow

Demonstrating how Plavno transforms fragmented product information into a scalable commerce data platform

From raw catalog inputs to omnichannel product delivery — everything happens through one governed commerce data flow

01

Capture Product Inputs

Collect SKU, attribute, and content data from multiple internal systems.

02

Standardize & Enrich

Apply taxonomy logic, enrich product records, and validate quality.

03

Distribute to Commerce Channels

Publish consistent product data to storefronts and marketplaces.

04

Monitor Catalog Quality

Track completeness and readiness across brands and channel destinations.

Delivery & Operations

Delivery & Operations

    • Feed generation

    • Storefront synchronization

    • Marketplace publishing support

    • Faster merchandising workflows

Throughput & Scale

Throughput & Scale

    • Large catalog support

    • Multi-brand architecture

    • Omnichannel distribution

    • Future personalization readiness

Data Quality Stack

Data Quality Stack

    • Product attribute governance

    • Taxonomy consistency

    • Validation workflows

    • Better content reuse across brands

Results

Measurable outcomes delivered by a commerce data platform for multi-brand retail

Faster Catalog Updates

Faster Catalog Updates

Teams can move product changes through the system more efficiently.

Better Channel Consistency

Better Channel Consistency

Product data remains more aligned across storefronts and marketplaces.

Stronger Growth Foundation

Stronger Growth Foundation

The retailer gains a scalable product intelligence layer for future commerce expansion.

Faster Onboarding of New Brands & Channels

Faster Onboarding of New Brands & Channels

New brand launches or channel expansions require less data cleanup and integration effort, thanks to the platform’s standardized catalog model and reusable governance rules.

Lower Manual Overhead

Lower Manual Overhead

Merchandising teams spend less time on repetitive feed and content maintenance.

Tools We Used

Technology stack

Data Integration

Data Integration

ERP exports
Feed connectors
API ingestion
Distribution

Distribution

Storefront APIs
Marketplace feeds
Content sync
Backend

Backend

Python
Node.js
FastAPI
Data Governance

Data Governance

Validation rules
Taxonomy engine
Quality checks
Infrastructure

Infrastructure

AWS
PostgreSQL
Monitoring

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Frequently Asked Questions

Quick Answers

Find answers to your common concerns

Is this similar to a PIM?

Yes. It covers core product information governance and distribution use cases in a broader commerce operations context.

Can it support multiple brands?

Yes. The platform is designed for multi-brand catalog environments.

Does it integrate with storefronts and marketplaces?

Yes. It supports downstream delivery to commerce channels and internal systems.

Can it improve readiness for personalization?

Yes. Better product data quality creates a stronger foundation for recommendations and personalization later.

About Plavno

Why choose Plavno?

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AI-first Delivery

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800+ Projects Delivered

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Testimonials

We are trusted by our customers

“They really understand what we need. They’re very professional.”

The 3D configurator has received positive feedback from customers. Moreover, it has generated 30% more business and increased leads significantly, giving the client confidence for the future. Overall, Plavno has led the project seamlessly. Customers can expect a responsible, well-organized partner.

Sergio Artimenia

Commercial Director, RNDpoint

Sergio Artimenia

“We appreciated the impactful contributions of Plavno.”

Plavno's efforts in addressing challenges and implementing effective solutions have played a crucial role in the success of T-Rize. The outcomes achieved have exceeded expectations, revolutionizing the investment sector and ensuring universal access to financial opportunities

Thien Duy Tran

Product Manager, T-Rize Group

Thien Duy Tran

“We are very satisfied with their excellent work”

Through the partnership with Plavno, we built a system used by more than 40 million connected channels. Throughout the engagement, the team was communicative and quick in responding to our concerns. Overall, we were highly satisfied with the results of collaboration.

Michael Bychenok

CEO, MediaCube

Michael Bychenok

“They have a clear understanding of what the end user needs.”

Plavno's codes and designs are user-friendly, and they complete all deliverables within the deadline. They are easy to work with and easily adapt to existing workflows, and the client values their professionalism and expertise. Overall, the team has delivered everything that was promised.

Helen Lonskaya

Head of Growth, Codabrasoft LLC

Helen Lonskaya

“The app was delivered on time without any serious issues.”

The MVP app developed by Plavno is excellent and has all the functionality required. Plavno has delivered on time and ensured a successful execution via regular updates and fast problem-solving. The client is so satisfied with Plavno's work that they'll work with them on developing the full app.

Mitya Smusin

Founder, 24hour.dev

Mitya Smusin

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