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    Experiment Conversion RateExperimental Poject•2025

    REDEFINING E-COMMERCE

    Today’s online stores present products. But what if they could guide customers the way a personal stylist would?

    This concept explores a smarter e-commerce flow designed to support different shopping behaviors.
    Role

    Product Owner, UX Designer & Prompt Engineer

    Duration

    2 Weeks

    Year

    2025

    Client

    Experimental Poject

    Redefining E-Commerce
    01 — The Challenge

    UNDERSTANDING THE PROBLEM

    Traditional e-commerce platforms offer browsing, filtering, and checkout; But the experience often feels transactional and impersonal. Users struggle with choice overload, poor product relevance, and time-consuming search flows.

    Key problems surfaced:

    • Shoppers spend too much time narrowing down options
    • Product discovery relies heavily on manual filtering
    • Search results lack context and personalization
    • Users often abandon checkout due to friction and unnecessary steps

    The challenge was clear: create an experience that feels more guided, intuitive, and human without adding complexity.
    02 — The Approach

    STRATEGIC METHODOLOGY

    • 01

      Started by exploring how AI could improve the shopping experience. I tested ideas by creating and refining prompts using Gemini to see how an assistant could give smarter recommendations.

    • 02

      Prototyped two parallel flows using Lovable: Shop on your own for traditional exploration & Assist me for AI-powered guidance.

    • 03

      Explored multimodal interactions: questions, natural language input, and image upload to support different mental models.

    • 04

      Identified Armani Exchange as the key design inspiration, adopting cues from its clean layouts, balanced visual hierarchy, and modern product presentation.

    The Vibe Coding Process
    01

    The Vibe Coding Process

    AI Features (Designing for AI)
    02

    AI Features (Designing for AI)

    03 — The Solution

    DELIVERING IMPACT

    The final concept transforms a static shopping site into a dynamic, personalized experience:

    • Dual shopping modes that respect user preference and intent
    • AI-powered assistant offering curated recommendations, contextual search, and image-based styling
    • Smart product discovery, reducing the steps required to find relevant items
    • Context-aware checkout, automatically detecting location and simplifying required inputs
    • A workflow that feels closer to interacting with a human stylist — but optimized through AI
    • Automatically detects the user’s location to avoid long form fills during checkout.

    The result is an elevated e-commerce model: more intuitive, more efficient, and meaningfully more personal for every shopper.
    04 — The Results

    MEASURABLE OUTCOMES

    Improved Product Discovery & Conversion
    Reduce Cart Abandonment
    More accurate delivery dates using auto-location.
    Reduce Checkout Time
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