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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
Price
from £900
Built in
2 weeks
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