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Preisser Solutions
Case Studies/Wife Supply Co
AI Commerce • Custom Build • Full Deployment

Wife Supply Co — AI Gifting Platform, Concept to Launch

Custom AI gift-matching engine paired with a non-template commerce front end and a brand-engineered design system, deployed end-to-end.

Custom
AI gift-matching engine
Non-template
Commerce front end
Brand-engineered
Design system
Concept → Launch
Built end-to-end
Build status reflects the platform as shipped to launch. Public commerce metrics are not published until independently confirmed.
01
Custom
AI gift-matching engine
02
Non-template
Commerce front end
03
Brand-engineered
Design system
04
Concept → Launch
Built end-to-end
Before

A concept, a thesis, no platform.

Wife Supply Co began as a concept: a gifting platform that uses AI to synthesize personalized recommendations from partner preferences. The premise required an AI recommendation engine that could actually understand input variables and translate them into specific products — not a generic filter UI dressed up to look smart.

There was no commerce stack, no brand identity, no design system, and no recommendation logic in place. The build had to deliver all of it together as a coherent product.

What we built

An AI recommendation engine, a custom commerce front end, and a brand to carry it.

Preisser Solutions built a custom AI gift-matching engine that analyzes input preferences and generates personalized gift recommendations. The platform is not a Shopify theme — the entire commerce front end is custom, with conversion-optimized funnels engineered into the path from input to checkout.

A brand-engineered design system holds the experience together. Typography, color, motion, and component patterns were designed for the product rather than pulled from a template library.

Specifications

What the platform is built from.

Custom AI recommendation engine that analyzes partner preferences

Custom (non-Shopify) commerce front end — fully owned codebase

Conversion-optimized purchase funnels designed into the architecture

Brand-engineered design system covering typography, color, motion, and components

End-to-end build from concept through deployment

Personalized recommendation surface adapts to input variables per session

AI gift-matching engine

  • Input preference intake per session
  • Synthesis of personalized recommendations from analyzed inputs
  • Adaptable framework — extensible to additional input categories

Commerce surface

  • Non-template commerce front end (no Shopify)
  • Funnels engineered for conversion from recommendation to checkout
  • Brand-engineered visual system applied across every surface
Results

Outcomes the engagement actually produced.

Result 01
Custom
AI gift-matching engine shipped

A custom AI gift-matching engine is in place — analyzing inputs and generating personalized recommendations.

Result 02
Non-template
Commerce front end deployed

The full commerce front end is custom-built (not Shopify, not a template), giving full control over the funnel architecture.

Result 03
Brand-engineered
Design system

Typography, color, motion, and component patterns were designed for the product — not pulled from a library.

Result 04
Concept → Launch
Built end-to-end

Engine, commerce, and brand were delivered as one engagement — from initial concept through public-facing deployment.

Tech stack
Custom AI recommendation engineCustom commerce front endConversion-optimized funnel architectureBrand-engineered design systemEnd-to-end deployment pipeline

Have a product concept that needs an AI engine and a brand to carry it?

Preisser Solutions builds custom AI products end-to-end — engine, commerce, and brand together. Scoping begins with a conversation about your thesis and your audience.