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Case Study

Quality Bearing Online Supercharged
High-SKU Parts Discoverability

Industry: Manufacturing Parts & Industrial Supplies
Section: Bearings and Mechanical Parts
Platform: BigCommerce
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Outcome Metrics

Transformative Results

32%

Faster product find time

41%

Better search engagement

28%

Less zero-result searches

The Challenge

The Problem Every Manufacturing-Parts Seller Faces

For most manufacturing, mechanical, and industrial parts businesses, digital product discovery is one of the hardest parts of online commerce. Large catalogs, complex attributes, thousands of part numbers, legacy codes, and customers who search with highly specific intent all create friction that default ecommerce search cannot handle.

Across the industry, sellers repeatedly face the same issues:

1

Part-number searches that break easily

2

Filters that don’t fit technical catalogs

3

Valuable technical content is hidden

4

Static merchandising fails technical buyers

Industry Context

How Quality Bearings Online Seller Solved This — and What It Means for the Industry

Quality Bearings Online, a digital-first supplier of engineering spares and mechanical parts, faced these same challenges. Their BigCommerce store contained more than 13,000 SKUs and thousands of part-number variations. Their customers often searched using extremely detailed — or sometimes imperfect — technical queries.

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The Failures

13K SKUs — Default search and filters weren’t enough

The store’s native search and filtering struggled to support the way engineers and procurement teams searched. A tiny formatting change, a misplaced hyphen, or an outdated part code frequently returned no results, even when the correct product existed. This slowed down buyers, increased support requests, and resulted in lost revenue.

01

Fragile Part-Number Searches

Customers searching by exact part numbers, legacy codes, or sizes often got no results due to typos, formatting differences, or minor mismatches.

02

Overwhelming Technical Filters

Standard faceted filters were long, poorly organized, and lacked effective handling of synonyms or part-number variations, making it difficult to narrow results efficiently.

03

Hidden Technical Content

Technical blogs, maintenance guides, and compatibility notes were separated from product discovery, so users often missed critical information for selecting the right part.

04

Static, Unintelligent Merchandising

Best sellers, trending items, and replacement parts weren’t dynamically highlighted, limiting exposure to high-demand or recommended SKUs.

The Solution

What ConversionBox Delivers
for Manufacturing & Technical Catalogs

To solve these problems, they implemented ConversionBox’s AI Search & Discovery engine across their storefront. The platform was trained to understand part-number patterns, brand code variations, dimensional queries, and synonymous engineering terms.

1

Intent-aware search

ConversionBox search understands whether a query is a part number, size, or generic phrase and returns the right product set (so “6204 2RS” and “62042RS” both find the same SKU).

2

Robust autocomplete & typo tolerance

Dynamic autocompletes that include part-number variations, brand names, and standard abbreviations so users hit a working result on the first keystroke.

3

Popular search collections & category showcase

Curated search result collections for typical repair jobs (e.g., “motor bearings”, “conveyor shaft kits”) and prominent category tiles to guide quick browsing.

4

Content + product blending

Related blog pages, technical guides, and compatibility notes are surfaced inline with product results, helping non-experts confirm fitment without leaving search.

5

Smart filters (18 optimized filter categories)

18 intelligent filter categories were configured and grouped (brand, size, benefits, viscosity grade, lubricant type, tolerance, seals, and more)

6

AI merchandising

Rules and ML signals promote best sellers, trending items, and recommended replacements for obsolete parts, increasing visibility of high-margin SKUs.

The Outcome

After deploying ConversionBox, the industrial seller achieved:

32%

Reduction in the time it took customers to find the correct product

41%

Boost in product engagement from search

28%

Fewer dead-end zero-result searches

These improvements directly translate into better conversion rates, fewer support calls, and more confident buying behavior, especially from procurement teams and technical buyers.

Get Started

Boost Sales and Efficiency
with ConversionBox for
Manufacturing Parts

ConversionBox turns your store into an actual technical product-discovery engine, built for how real engineers, mechanics, and procurement teams actually search.