Sales Growth & Structure Product Information Management (PXM) Transformation

The Challenge

A global, vertically integrated home furnishings manufacturer managing dozens of brands and thousands of SKUs was struggling to scale digital commerce across major retailers.

Despite strong demand, the organization faced familiar enterprise challenges:

• Fragmented product data across teams, brands, and regions
• No unified master data taxonomy for specs, attributes, or claims
• Inconsistent product content across key retail partners including Amazon, Walmart, Target, Wayfair, Kohl’s, Macy’s, and numerous others
• Slow speed to market for new launches and line extensions
• Manual, error-prone processes for content creation, enrichment, and syndication
• Limited ability to deploy enhanced content at scale (A+ / rich media / brand modules)

The result: delayed launches, inconsistent brand presentation, suppressed conversion rates, and internal teams spending more time fixing content than building it.

     The Objective

The manufacturer engaged Wishbone Advisory to help evaluate, design, and operationalize a Product Experience Management (PXM) strategy that could:

• Establish a single source of truth for product data
• Create a scalable, future-proof taxonomy aligned to retailer requirements
• Accelerate speed to market across all channels
• Enable consistent, high-quality enhanced content at enterprise scale
• Support both DTC and marketplace growth without increasing operational drag

The Approach: 4 Prong

1. PXM Platform Evaluation & Readiness
Wishbone conducted an enterprise-level assessment of the client’s product data landscape, internal workflows, and channel requirements. This included:

• Mapping current and future retailer attribute schemas
• Evaluating PXM platform capabilities against real operational use cases
• Identifying integration requirements across ERP, DAM, and marketplace feeds
• Defining governance models for content ownership and approvals

Outcome: a clear platform selection and implementation roadmap grounded in real-world retail execution not theoretical feature checklists.

2. Master Data Taxonomy & Governance
Wishbone designed and implemented a robust master data framework, including:

• Standardized attribute definitions across categories and brands
• Clear separation of core data, channel-specific requirements, and marketing content
• Scalable taxonomy supporting current and future retailers
• Governance rules to prevent data drift and duplication

This foundation enabled the organization to move from reactive content fixes to proactive content orchestration.

3. Centralized Content Creation & Syndication
With the taxonomy in place, Wishbone helped operationalize content at scale:

• Centralized product content creation and enrichment
• Automated distribution of approved data and assets to all major retail channels
• Channel-specific optimization without duplicating work
• Faster onboarding of new SKUs and collections

Speed to market improved dramatically, with new products launching weeks faster than prior processes.

4. Enhanced Content at Enterprise Scale
​Wishbone supported the rollout of a PXM stack that could publish rich content modules across top retail partners, including:

• Enhanced PDP content (A+ / rich media / brand storytelling)
• Modular content systems reusable across retailers
• Scalable asset strategies tied to conversion goals

These enhanced experiences generated millions of shopper interactions across retailer PDPs and drove measurable lifts in engagement and conversion.

RESULTS

• Significantly faster speed to market for new product launches
• Single source of truth for enterprise product data
• Consistent, compliant content across all major retail channels
  
• Millions of enhanced content interactions across retailer PDPs
  
• Higher conversion rates driven by improved content quality and consistency
  
• ​​Operational scalability without proportional headcount growth