#1 AI Restaurant Operations Automation Platform
Turn Delivery
Disputes Into
Recovered Revenue
Restaurants lose up to 8% of revenue to delivery app disputes. Voosh connects to DoorDash, Uber Eats, Grubhub, and more, flags bad charges automatically, files disputes with full evidence, and tracks wins across every store.
Delivery Dispute Recovery
Recover every rightful dollar, automatically.
Automatic error detection
We scan every order and payout from DoorDash, Uber Eats, Grubhub, and others. Invalid fees, wrong adjustments, and cancellation errors are caught automatically using marketplace data and rules, so issues are found the moment they hit your account.
WHY VOOSH
Delivery disputes, solved at scale
Recovery you can measure
Real time visibility into every dispute, every charge, and every dollar recovered from delivery apps.
Accuracy you can trust
Automated evidence bundles give you consistent, repeatable results across hundreds of locations.
$0M+
Total Revenue Recovered
1%
Average Win Rate
1M+
Disputed Orders Resolved
0+
Brands Using Voosh
Finance and ops teams at 500+ restaurant brands trust Voosh
See how much delivery revenue you can win back
Enter a few numbers to estimate how much delivery revenue Voosh can help you win back every month. Use your real store counts and order volume for the most accurate view.
Calculate Your Potential Savings
Common Misconceptions
The myths that cost restaurants delivery revenue
Misconception:
Disputes happen between restaurants and customers.
Reality:
Order disputes occur exclusively between restaurants and third-party delivery apps. Customers are never directly involved.
SUCCESS STORIES
What restaurant leaders say about Voosh
McDonald's Franchisee Saves
$40K in 90 Days with Voosh Automation
Operating 40+ McDonald's locations across multiple states, this franchisee automated dispute resolution and financial reconciliation with Voosh. In 90 days they recovered $40,000 and saved more than 500 hours of manual work.
1%
Dispute Win Rate
1+
Manual Hours Saved
INTEGRATIONS
Built for the modern delivery tech stack
FQA's
Questions, answered
An in-house algorithm, trained on more than a billion transactions, prioritizes which charges to dispute first and how to frame each case for maximum win probability. It continuously learns from outcomes to improve over time.