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Automated and Dynamic Catalog Enrichment

Transform Product Data into Competitive Advantage

The Business Impact of NewEcom's Intentional Data Model

Today's product catalogs were designed for logistics and keyword search—not for intelligent selling. As commerce shifts toward AI-driven discovery, your current data is invisible, misunderstood, or misrepresented by LLMs and smart shopping assistants.

Missed conversion opportunities

Poor product relevance in AI search

High bounce rates and low engagement

Inability to compete in conversational shopping workd

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The Intentional Data Model

NewEcom turns your existing product data into a strategic growth engine by making it fully understandable, explainable, and actionable by AI systems—and by your customers.

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Increase Conversion Rates

AI-guided shopping only works if the AI understands what you sell. By explaining product benefits, use cases, and relevance, the intentional data model reduces drop-off and moves shoppers from interest to purchase—fast.

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Unlock AI Visibility Across Channels

Whether it's Amazon's Rufus, Google AI Search, ChatGPT, or your own assistant, NewEcom's enriched data makes your products more discoverable, eligible, and relevant.

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Add Reduce Product Returns

When customers understand what they're buying, they make better decisions. Clear intent-matching reduces expectation gaps and costly returns.

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Capture and Learn From Customer Intent

Every interaction with your AI assistant becomes a source of insight. We capture buying signals, objections, and intent to continuously refine your product experience.

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Future-Proof Your Catalog for Conversational Commerce

AI is the new front door to eCommerce. Structured, explainable product 

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Upload a simple CVS file or Synchronize the Catalog with Shopify, Adobe or Salesforce connector

Select the fields you want to enrich from the point of view, needs, and motivations of the end customer

Review, edit and validate the enrichment and publish the data

Proprietary enrichment analyzes conversations, clicks, and sales to dynamically improve products with intent and use cases.

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