Challenge

With 10,000+ product variants, Geardoor needed search that could keep up with their catalog - without hiring an engineering team.

When Hameed Al Beiruty co-founded Geardoor, the vision was simple: build the UAE's go-to outdoor marketplace, run by adventurers who actually use the gear they sell. The catalog grew fast - hiking boots, climbing harnesses, rooftop tents, cycling kits - spanning thousands of products with complex attributes like size, waterproof rating, and material type.

But as the catalog scaled past 10,000 variants, Shopify's default search started falling behind. A customer searching for "waterproof hiking boots size 10 wide" would get irrelevant results or miss products entirely. Filtering was inconsistent between search results and collection pages. For a small team handling everything from customer service to logistics, building a custom search solution wasn't an option.

Hameed needed enterprise-grade product discovery - the kind of AI-powered search that major retailers use - without the enterprise-grade complexity or headcount.

As an online store with thousands of product variants, helping customers find the right gear for their needs is our main goal. This means we have to build the best discovery and recommendations experience.

- Hameed Al Beiruty, Co-Founder, Geardoor

Solution

Geardoor layered Google's Vertex AI Search on top of Shopify - no code, no engineers, no migration.

Through Retail Cloud Connect, Geardoor plugged directly into Google Cloud's Vertex AI Search for Commerce - the same AI that powers product discovery for some of the world's largest retailers. The implementation replaced Shopify's default search and collection filtering without touching Geardoor's existing theme or workflow.

Three capabilities made the biggest difference:

• Natural language search understanding - Vertex AI interprets complex, multi-attribute queries ("lightweight two-person tent under 500 AED") and returns relevant results instead of keyword matches.

• Unified filtering across search and collections - Customers get the same intuitive filtering experience whether they're browsing a collection page or searching. Filters dynamically update based on available products, eliminating dead ends.

• Variant-level precision - Instead of surfacing a generic product page and making customers dig for the right size or color, the system surfaces the exact variant that matches the query.

The entire setup was managed through Nimstrata's Shopify app - no custom development, no API integration project, no dedicated engineer required. Hameed's team had Google-grade search running in their store without writing a single line of code.

Nimstrata made it possible for small teams to tap into enterprise-level tools and AI features that just work out-of-the-box.

- Hameed Al Beiruty, Co-Founder, Geardoor

Results

Geardoor now converts nearly 1 in 4 search visitors into add-to-cart - and recommendations are driving discovery they never had before.

Since implementing Retail Cloud Connect, Geardoor has seen:

• 23.86% add-to-cart rate per search visit - customers searching the site are finding what they need and adding it to cart at a rate that reflects genuinely relevant results.

• 10.13% click-through rate on AI-powered recommendations - product recommendations are surfacing gear customers didn't know they needed, driving incremental discovery across the catalog.

• Consistent filtering across the entire site - search results and collection pages now share the same intelligent, attribute-rich filtering experience, reducing friction and dead ends.

For a store with 10,000+ variants spanning dozens of outdoor categories, the impact isn't just about conversion metrics - it's about a fundamentally better shopping experience. Customers searching for specific gear attributes (waterproof ratings, tent capacities, frame materials) now find exactly what they're looking for, without the frustration of sifting through irrelevant options.

Geardoor's story demonstrates what's possible when a small, passionate team gets access to the same AI that powers enterprise retail - without the enterprise overhead.