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    AI Computer Vision Parts Marketplace

    Eliminating manual part identification errors with a mobile-first marketplace powered by computer vision

    Drastically reduced return rates via AI-driven part identification
    Client
    Confidential — Automotive retail platform
    Industry
    Automotive & Retail Technology
    Timeline
    4 months
    Technologies
    8+ tools

    The Challenge

    !

    High error rate in manual part identification led to costly product returns and customer dissatisfaction

    !

    Customers struggled to match worn or unlabelled parts to correct SKUs in a catalogue of thousands

    !

    Existing search relied on text input — ineffective for users who cannot identify part names

    !

    Return processing cost eroded margins on high-volume, low-margin automotive consumables

    !

    Mobile experience was an afterthought; most purchasing happened on desktop despite mobile traffic

    Our Solution

    Built a mobile-first iOS/Android app with integrated camera-based part identification flow

    Trained a computer vision model on curated automotive parts imagery for high-accuracy SKU matching

    Designed a three-step UX: Photograph part → AI analysis → Exact SKU match with one-tap purchase

    Integrated the CV model with real-time catalogue search to return confidence scores and alternatives

    Implemented a feedback loop where mis-matches were reviewed and used to retrain the model

    Built an analytics dashboard showing identification accuracy, return rates, and conversion by part category

    Measurable Impact

    Part identification accuracy

    94%+

    Computer vision model outperformed manual search accuracy across all tested part categories

    Return rate reduction

    Significant drop

    Correct first-time identification reduced wrong-part returns materially

    Mobile conversion

    3× lift

    Camera-first mobile experience tripled conversion versus the old text-search flow

    Model improvement

    Continuous

    Feedback loop improved model precision with each production cycle

    "Returns were eating our margins. SystimaNX built something our customers love using — and the returns problem is practically solved."
    H
    Head of Product
    Automotive Marketplace (NDA)

    Technology stack

    React Native
    Python
    TensorFlow
    AWS Rekognition
    FastAPI
    PostgreSQL
    S3
    Node.js

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    AI Computer Vision Parts Marketplace | Case Study | SystimaNX