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Food Delivery

Unlocking Real-Time DoorDash Restaurant Data

How We Empowered a Restaurant Group with Unfiltered Access to Operational Insights

Client: Taco chain restaurant group
The Challenge

Lack of Visibility into Delivery Operations

A taco chain restaurant group was struggling with operational inefficiencies on DoorDash. They had no visibility into how their menu items were being displayed, what availability errors were occurring, or how their pricing compared to competitors. This lack of transparency was causing customer frustration, lost revenue from incorrect orders, and missed upsell opportunities.

They needed unfiltered access to their own operational data on DoorDash to identify problems, optimize menu presentation, and improve overall performance.

The Solution

API Transparency & Real-Time Monitoring

We tapped directly into DoorDash's API to reveal hidden patterns and provide unfiltered operational insights. This gave the restaurant group complete visibility into how their menu was displayed, item availability status, pricing, and customer ordering patterns.

API
Transparency
Tapped directly into DoorDash's API to reveal hidden patterns
72%
Drop in Errors
Item availability errors reduced within 8 weeks

Data Captured:

  • Real-time menu item availability status
  • Pricing and promotional display accuracy
  • Order patterns and upsell attachment rates
  • Competitor pricing and menu positioning
The Results

72% Error Reduction & 3.5x Upsell Increase

72%
Error Drop
Item availability errors reduced within 8 weeks
3.5x
Upsell Rates
Upsell attachment rates jumped dramatically
8 Weeks
To Results
Significant improvements achieved quickly

Within 8 weeks of implementing the data extraction and monitoring system, the restaurant group saw a 72% reduction in item availability errors and a 3.5x increase in upsell attachment rates. The transparency enabled them to fix menu display issues, optimize pricing, and improve overall customer experience.

Key Insight:

The data revealed that many "out of stock" errors were actually display or synchronization issues, not actual inventory problems. By identifying and fixing these issues, the restaurant group dramatically improved order accuracy and customer satisfaction.

Key Takeaways

1
API access reveals hidden problems
Direct API access exposes issues that surface-level monitoring misses
2
Real-time monitoring enables quick fixes
Identifying problems immediately allows for rapid resolution and impact
3
Data-driven optimization drives revenue
Understanding order patterns enables strategic upsell optimization

Ready to
Get Started?

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