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Finding the Right Product
Shouldn’t Take This Long
But It Still Does

Clouda's product discovery platform is built for B2B ecommerce search, helping customers find the right product based on real requirements, instead of relying on assumptions or manual product selection.

INSIDE THE EXPERIENCE

How Product Discovery Actually Works for Your Customers

Requirement-Based Search

Customers describe what they need, not what the product is.
No guessing. No keyword tricks.

Explained Recommendations

Each result comes with a clear reason behind the match.
Know why it fits before selecting.

Catalog-Level Matching

Products are matched using real specifications, not loose text.
Only relevant results show up.

Guided Product Selection Flow

From first input to final choice happens in one continuous path.
Less back-and-forth. Faster decisions.

THE PROBLEM

Where Product Discovery Breaks in B2B Ecommerce

Wrong Search Input

Buyers have requirements, systems expect product names.

Impact

Time is spent translating needs into search terms instead of finding the right product.

Knowledge Heavy Search

Finding products requires categories, specs, or filters knowledge.

Impact

New users struggle to start, and experienced buyers take longer to find the right product.

External Validation Needed

Buyers rely on sales or engineers to confirm choices.

Impact

More back-and-forth slows decisions and delays quote preparation.

Hidden Product Matches

Right products exist but are not easily surfaced.

Impact

Opportunities are missed, conversion drops, and the experience becomes frustrating.

Slow Buying Process

Extra steps slow down product selection and ordering.

Impact

Longer sales cycles reduce momentum and delay order completion.

Risky Product Selection

Limited clarity increases chances of incorrect product choices.

Impact

Errors lead to returns, rework, and potential compliance issues.

WHAT MAKES THIS DIFFERENT

A Different Way To Approach Product Discovery

01

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.

02

Explains Why A Product Fits

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

03

Matches Against Standards

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

04

Shows Only Relevant Filters

Filters and constraints are applied automatically in the background to ensure only the right matches appear.

05

Makes Results Easier To Trust

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

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

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

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Higher Conversion Rates

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 or returns.

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.

OUR INSIGHTS

Featured Resources

Article

Smarter B2B Product Discovery

How intent-driven systems redefine B2B product discovery through context, logic, and compliance.

Read the Article
Article

Smarter B2B Product Discovery

B2B Acceleration Framework
Article

Why B2B Product Discovery Fails

Complex catalogs and keyword search leave buyers stuck—here’s why discovery still breaks in B2B.

Read the Article
Article

Why B2B Product Discovery Fails

B2B Acceleration Framework

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.

OVERVIEW

A Closer Look at Product Discovery

Get Your Free Product Discovery Feature list

Project visualization

Fill out the form and choose a time that works for you. Before the call, we’ll share a Product Discovery feature overview, so you can see how the system approaches real-world product selection.

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