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Case StudyE-commerce2026

Smart Catalog

Faceted search and predictive autocomplete for 500+ workwear SKUs.

Client:Internal tool for KamsIndustry:B2B uniforms
Built in
4 days
Smart Catalog
The problem

Original catalog had 500 SKUs in flat lists with a confusing sort dropdown labelled in industry jargon nobody outside the business understood.

What we built

Side filters with EN safety standards as first-class facets, colour swatches, smart search, sort by relevance or price.

Outcome

Bounce rate on category pages cut roughly in half. Time-to-first-click on a product dropped from forty seconds to eight.

How this one happened

The story behind the build.

“

We benchmarked four competitors and found nobody in the Polish B2B workwear market had real faceted search. Everyone was running paginated lists and a basic sort dropdown. So we shipped the fix first.

What's inside

Features that matter.

01

Faceted filters: category, brand, colour, size, EN norms, price

02

Predictive search with autocomplete

03

Live result count, smooth filter chips

04

Mobile-first responsive grid

05

Editorial product cards with hover zoom

Stack

Built with.

Next.js 16React 19Tailwind 4