Food & Delivery App

Plaza Mama

Complete food delivery and restaurant management ecosystem

Client Food & Hospitality
Year 2023
Type Food & Delivery App

Built With

Flutter Flutter Laravel Laravel MySQL MySQL Firebase Firebase Python Python
Plaza Mama screenshot
Flutter Flutter
Laravel Laravel
MySQL MySQL
Firebase Firebase
Python Python
Flutter Flutter
Laravel Laravel
MySQL MySQL
Firebase Firebase
Python Python
Flutter Flutter
Laravel Laravel
MySQL MySQL
Firebase Firebase
Python Python
Flutter Flutter
Laravel Laravel
MySQL MySQL
Firebase Firebase
Python Python
Flutter Flutter
Laravel Laravel
MySQL MySQL
Firebase Firebase
Python Python
Flutter Flutter
Laravel Laravel
MySQL MySQL
Firebase Firebase
Python Python

About This Project

Plaza Mama is a complete food delivery and restaurant management ecosystem consisting of three interconnected applications: a customer-facing mobile app, a restaurant management dashboard, and a real-time delivery driver application. The customer app features a beautifully crafted menu browser, lightning-fast one-tap checkout, live order tracking on an interactive map, and a smart recommendation engine that surfaces dishes based on past orders and time of day. Restaurant owners get powerful tools for menu management, order queue visualization, peak-hour preparation alerts, and detailed revenue analytics. The driver app provides optimized multi-stop routing, in-app earnings tracking, and seamless real-time communication with customers. End-to-end, Plaza Mama reduces average order-to-delivery time by 28% compared to traditional phone-based ordering methods while dramatically increasing restaurant kitchen efficiency.

Technologies Used

The stack powering this project

Flutter Flutter Laravel Laravel MySQL MySQL Firebase Firebase Python Python

Client

Food & Hospitality

Year

2023

Category

Food & Delivery App

Key Features

What makes this project exceptional

Smart Menu

Dynamic menus with real-time item availability, photos, and instant price updates.

Live Order Tracking

Real-time GPS tracking of every order from the kitchen all the way to the doorstep.

Recommendations

ML-powered personalized dish suggestions based on history and time-of-day patterns.

Driver App

Optimized route planning and transparent earnings management for delivery drivers.

Challenge & Solution

The Challenge

The restaurant chain was managing all orders through telephone calls and scattered paper tickets, leading to frequent order errors, delayed deliveries, no delivery tracking visibility, and poor customer satisfaction scores averaging 3.2 out of 5 stars.

Our Solution

We built a fully integrated three-sided platform covering the entire customer-restaurant-driver loop. Digitizing the order lifecycle cut order errors by 95%, reduced average delivery time by 28%, and propelled average customer ratings from 3.2 to 4.7 stars within two months of launch.

Next Steps

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