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Dispute Dine

Worked at
  • SaaS
  • Restaurant Tech
  • Food Delivery
  • Browser Automation
  • AI
  • FinTech

Ionio built DisputeDine, a SaaS platform that automatically disputes fraudulent refund claims across DoorDash, Uber Eats, and Grubhub. Built in 8 weeks, it recovers ~$2,500 per location monthly while eliminating 10-12 hours of weekly manual work.

Features

Undetectable Browser Automation
Puppeteer-driven automation (with Selenium fallback) files disputes on platforms that have no dispute APIs. Randomized delays, natural mouse movements, and session persistence make it indistinguishable from a human so accounts don’t get flagged.
2FA Interception System
Intercepts platform 2FA verification codes via a controlled email inbox, parses them, and injects them into the waiting automation session within the 60-second expiry window, enabling logins without human intervention.
Dispute Intelligence Engine
Analyzes each claim’s reason, order value, and items to generate customized, evidence-based rebuttals with platform-specific formatting, then tracks dispute outcomes and credited amounts back into the dashboard.

Case study

Enabled Restaurants Clawback $2K-5K/Month Per Location

Blogs

Nothing published yet. Writing about this project will show up here.

Screens

  • Dashboard showing real-time analytics: win rates, disputed amounts, recovered revenue, and pending cases across platforms.
  • Dispute template configuration screen for different issue types per platform.
  • Activity feed showing every automation action, disputes raised, and success or failure states.
  • Unified dispute tracking table with customer name, platform, issue reason, status, and amount.