Turn path data into insights

Omnicommerce Data is the collection, organization, enrichment, and activation of commerce-related data across the entire shopper journey.

It combines information from retailers, marketplaces, ecommerce platforms, media channels, search engines, product catalogs, shopper interactions, and emerging AI-powered shopping environments into a unified data foundation.

Organizations use Omnicommerce Data to improve visibility, analytics, audience activation, retailer performance, product discoverability, and commerce decision-making.

As commerce becomes increasingly fragmented across channels and platforms, Omnicommerce Data helps brands create a connected view of shopper behavior and commerce performance.

Modern commerce generates large volumes of disconnected data across retailers, media platforms, marketplaces, ecommerce systems, and consumer touchpoints.

Without a unified data strategy, organizations often struggle to understand:

• Shopper behavior
• Product performance
• Retailer activity
• Conversion pathways
• Attribution signals
• Market opportunities

Omnicommerce Data helps organizations transform fragmented commerce information into structured, actionable insights that support growth, optimization, and revenue generation.

Omnicommerce Data can include a wide range of commerce-related information, including:

• Product data
• Retailer data
• Marketplace data
• Shopper behavior data
• Clickstream data
• Conversion data
• Search data
• Retail media data
• Pricing data
• Availability data
• Inventory data
• Product content data
• Digital shelf data
• Audience data
• AI shopping interaction data

Together, these data sources help organizations create a more complete view of commerce performance across the path to purchase.

AI systems rely on structured, accurate, and accessible data to understand products, evaluate options, and generate recommendations.

Omnicommerce Data provides many of the signals that AI-powered shopping assistants, recommendation engines, conversational commerce systems, and shopping agents use to interpret products and purchasing opportunities.

Organizations with stronger Omnicommerce Data foundations are often better positioned to improve AI discoverability, product understanding, recommendation visibility, and future AI commerce readiness.

Omnicommerce Data helps brands understand how products perform across retailers, marketplaces, and commerce channels.

By analyzing retailer-specific performance signals, organizations can identify opportunities related to:

• Product visibility
• Pricing consistency
• Availability gaps
• Assortment performance
• Shopper engagement
• Conversion activity

These insights help brands improve retailer execution, strengthen partnerships, and support revenue growth.

Omnicommerce Data and Omnicommerce Intelligence are closely related but serve different functions.

Omnicommerce Data focuses on collecting, organizing, enriching, and connecting commerce information from multiple sources.

Omnicommerce Intelligence focuses on analyzing that data to generate insights, recommendations, forecasts, and business decisions.

In simple terms:

Omnicommerce Data creates the foundation.

Omnicommerce Intelligence creates understanding.

Together, they help organizations turn information into action.

Omnicommerce Data helps organizations connect shopper interactions, media activity, retailer engagement, and conversion outcomes across multiple touchpoints.

This enables brands to better understand:

• Customer journeys
• Conversion pathways
• Marketing influence
• Retail performance
• Revenue attribution

By creating a more complete view of commerce activity, organizations can make more informed decisions about where to invest resources and optimize performance.

Omnicommerce Data serves as the foundational layer within the Wayvia Omnicommerce ecosystem.

A simplified framework is:

Omnicommerce Data
↓
Omnicommerce Intelligence
↓
Omnicommerce Enablement
↓
Shoppable Media
↓
Retail Conversions
↓
Revenue Outcomes

This approach helps brands connect data, intelligence, activation, measurement, and revenue into a unified commerce strategy.