Bot Detection Ranking

A digital identity platform that helps brands detect bots, duplicate accounts, and verify authentic customers in real-time. The system ranks every order between 0-100 to identify patterns of authenticity and associations between individuals.

Key Points:

  • Core Problem Solved:

    • Brands can't interact effectively with customers digitally
    • Multiple personas/identities skew customer data
    • Bots and duplicate accounts affect inventory forecasting
    • Unauthorized resellers cost brands millions in revenue
  • Technology:

    • Real-time graph networking clustering to find patterns
    • Creates visual graphs showing bots, bad actors, and duplicate accounts
    • 160 features analyzing patterns of randomness and similarities
    • No direct user interaction required
  • Current Traction:

    • 25 customers using the platform
    • Working with local sneaker stores
    • Will convert to ~$15k MRR
    • Providing $10k in new revenue per store per month
  • Use Cases:

    • Sneaker stores managing raffle entries
    • Prioritizing authentic customers for limited releases
    • Cleaning bloated CRM systems
    • Identifying most influential customers
    • Removing duplicate/bot accounts
  • Value Proposition:

    • Helps brands understand true customer base
    • Reduces CRM costs by removing fake accounts
    • Improves inventory forecasting accuracy
    • Better targeting of authentic customers
    • Protection against bots and resellers
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Jordan Shamir

With over 4 years of experience in product management, He is a co-founder of Yofi, a start-up that helps brands prioritize their consumers to increase lifetime value, brand affinity, and data fidelity. He is also pursuing my MBA at the University of Michigan - Ross School of Business.

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