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    Intermediate
    Coming Soon
    E-commerce
    8 min read

    Product Affordance Intelligence

    Extract functional affordances from product images and videos. Understand what products enable users to do — from grip patterns to interaction zones — to power smarter search and recommendations.

    Who It's For

    E-commerce platforms, product catalog managers, and merchandising teams managing 100K+ SKU catalogs

    Problem Solved

    Traditional product search relies on keyword tags and basic visual features, missing the functional attributes that drive purchase decisions — what a product lets you do, how it fits into your life

    Why Mixpeek

    Goes beyond visual similarity to functional understanding. Multi-tier extraction captures both appearance and affordance, enabling intent-based product discovery that increases conversion rates.

    Overview

    Product affordance intelligence moves product search beyond keywords and visual similarity to functional understanding. By analyzing how products are used — grip patterns, interaction zones, environmental context — Mixpeek enables shoppers to find products that match their intent, not just their description.

    Challenges This Solves

    Keyword-Dependent Discovery

    Product search relies on manually curated tags that miss functional attributes

    Impact: Shoppers who search by intent ("comfortable for all-day wear") get irrelevant results, reducing conversion by 20-30%

    Visual Similarity Gaps

    Products that look similar may have vastly different functional affordances

    Impact: Recommendation engines surface visually similar but functionally wrong products, driving returns

    Catalog Scale

    Manual affordance tagging is impractical for catalogs exceeding 100K SKUs

    Impact: New products sit untagged for days, missing launch-window sales

    Recipe Composition

    This use case is composed of the following recipes, connected as a pipeline.

    1
    Feature Extraction

    Turn raw media into structured intelligence

    2
    Semantic Multimodal Search

    Find anything across video, image, audio, and documents

    3
    Hierarchical Classification

    Auto-label content into structured taxonomies

    Expected Outcomes

    +35% improvement

    Search relevance (NDCG)

    2.4x increase

    Product discovery rate

    90% reduction

    Manual tagging effort

    Build Affordance-Aware Product Search

    Clone the product affordance pipeline and connect your catalog in under an hour.

    Estimated setup: 45 min

    Frequently Asked Questions

    Ready to Implement This Use Case?

    Our team can help you get started with Product Affordance Intelligence in your organization.