FoodExpress Delivery

Food & Beverage•Small Business•1 day integration, 3 days menu configuration, 14 days peak hour optimization

FoodExpress: 198% Order Volume Increase During Peak Hours

198%
Peak Hour Orders
+198% improvement
87%
Customer Service Load
-87% improvement
4.8/5
Delivery Experience
+1.3 improvement
34%
Average Order Value
+34% improvement
Implementation: 1 day integration, 3 days menu configuration, 14 days peak hour optimization
4 AI Solutions Deployed

1
The Challenge

FoodExpress was losing orders during peak hours because customers couldn't get through to place orders or get delivery updates, especially during dinner rush and weekends.

2
Our Solution

Deployed AI order management system that handles order taking, modification, tracking updates, and customer inquiries while integrating with their delivery fleet management system.

Technologies Deployed:

AI Concierge Chatbot
POS Integration
Fleet Management API
Real-time Notifications

3
Implementation Process

Connected AI agents to their POS system and delivery tracking, configured menu navigation assistance, and set up real-time order status updates and delivery notifications.

Results & Impact

Peak hour chaos became smooth operations. Customers can now place and modify orders instantly, get real-time delivery updates, and receive proactive notifications about delays or issues.

198%
Peak Hour Orders

Increase in orders processed during rush hours

87%
Customer Service Load

Reduction in peak hour support calls

4.8/5
Delivery Experience

Customer satisfaction with delivery experience

34%
Average Order Value

Increase through AI upselling and recommendations

"Friday night used to be our nightmare. Now it's our biggest revenue day. The AI keeps everything organized while making smart suggestions that increase our order values."
M
Maria Santos
Operations Manager, FoodExpress Delivery

Company Overview

Industry:Food & Beverage
Company Size:Small Business
Timeline:1 day integration, 3 days menu configuration, 14 days peak hour optimization
Solutions:4

Key Results

198%
Peak Hour Orders
87%
Customer Service Load
4.8/5
Delivery Experience

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