Success Story
McDonald's Franchisee Saves $40K in 90 Days with Voosh Automation
Summary
Operating over 40 McDonald's locations across multiple states, this franchisee has been a staple in their communities for years. Serving thousands of customers daily, they understand the importance of efficiency and maximizing profits in the highly competitive fast-food industry. By appealing over 5,000 order errors through automated dispute resolution, the franchisee recovered $40,000. Automation saved over 500 hours that staff previously spent on manual dispute handling and financial reconciliation.
The Challenge
Before Voosh, the McDonald's franchisee was struggling to control third-party delivery revenue across a large, high-volume operation:
Hidden order errors across delivery apps.
Thousands of small order issues on Uber Eats and DoorDash went unnoticed or unchallenged, quietly eroding revenue month after month.
Manual dispute handling at scale.
Teams could not keep up with filing disputes across 40+ locations.
No clear view of payout discrepancies.
Expected earnings and actual deposits were difficult to reconcile quickly.
Time drain on ops and finance teams.
Hundreds of hours were lost to manual reconciliation and dispute handling.
Voosh Impact
$40,000
Recovered through automated dispute resolution in just 90 days
5,000+
Delivery order errors identified and successfully appealed
500+ hours
Saved by eliminating manual dispute handling and reconciliation work
40+ stores
Managed efficiently with centralized dispute and finance automation
Why It Worked
A single source of truth for finance.
One unified view from order details to final bank deposits.
Clear, actionable error visibility.
Every error charge was tied to a specific order and root cause.
Automation without stack changes.
Voosh integrated with existing systems and automated disputes end to end.
What Voosh Did
Centralized disputes across every delivery platform.
Unified Uber Eats and DoorDash disputes into a single system, eliminating scattered workflows and missed cases.
Automated dispute detection and submission.
Scanned every order for eligible errors, packaged proof, and auto-submitted disputes on time.
Made payout discrepancies instantly visible.
Compared expected vs actual payouts so finance teams could spot lost revenue immediately.
Replaced manual reconciliation with automation.
Aligned POS data with off-premise orders and deposits, removing hours of spreadsheet work.
Enabled scalable oversight across 40+ locations.
Gave operators and finance teams one view to manage performance, errors, and recovery at scale.
