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THE PROBLEM

Where Product Discovery Breaks in B2B Ecommerce

Improve how your customers find and select products

Product discovery challenges often lead to delays, confusion, and missed opportunities. Schedule a session to review your current experience and uncover where improvements can create faster decisions and better outcomes.

What Makes This Different

A Different Way To Approach Product Discovery

search

Starts From The Requirement

Instead of asking for a product name, the system uses intent based search to understand what the buyer is trying to solve.

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Explains Why a Product Fits

Recommendations include a clear explanation, supported by engineering-based recommendations, instead of just showing results.

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Matches Against Standards

Requirements are checked using standards based product selection aligned with real engineering conditions.

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Shows Only Relevant Filters

Filters and constraints are applied automatically in the background to ensure only the right matches appear for your specific use case.

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Makes Results Easier to Trust

Each result includes signals that support decision-making, similar to a built-in decision support system to save you time.

Business Impact

What This Means For Your Business

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Faster Order Cycles

When buyers identify the right product earlier, it supports faster product selection and keeps orders moving without delays.

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Reduced Dependency on Engineering Teams

Less reliance on internal teams helps reduce dependency on sales teams and technical support.

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Higher Conversion Across Your Catalog

Improved product discovery directly helps increase conversion rate and overall ecommerce performance.

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Lower Risk of Selection Errors

Better matching helps reduce errors in ordering and avoids costly rework.

HOW IT WORKS

HOW PRODUCT DISCOVERY WORKS

1

Understand

The buyer describes the requirement in plain language.No need for exact product names or specs.

2

Reason

The system interprets the intent by looking at the conditions, constraints, and the actual use case behind the request.

3

Retrieve

Matching products are pulled using a mix of semantic search, spec filtering, and catalog data.

4

Answer

The system returns a shortlist of products with explanations and ready-to-use details.

FAQ

Questions? We've Got Answers

No. Buyers can describe what they need in plain language. The system handles the rest.

Not completely. It reduces how often they’re needed, especially for routine product selection.

Yes. It uses your existing catalog data and improves how products are surfaced and matched.

The system still returns the closest matches and helps guide the buyer toward a clearer selection.

Filters and search depend on the user knowing what to look for. This works from the requirement and guides the selection process.

Overview

A Closer Look at Product Discovery

Get a clear understanding of how Product Discovery works and how it fits into your B2B buying experience.

This overview walks through how buyers search, how recommendations are made, and how decisions become easier with the right structure in place.

Download the guide to explore it in more detail.

Clouda Product Discovery

Don't Miss Out – Download the Full Guideline!

Access the complete B2B E-commerce Re-platforming Guide, now available for offline viewing. Download the full resource to ensure you have this essential framework readily available for reference and strategic planning.

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