Quixote Studios
Product Designer • Mobile App Prototype
Developed a streamlined mobile app experience for clients to easily book gear and property with just a few clicks.
What if you could order delivery that automatically gets you the best prices, fastest times and ordering ability in one place from all your favorite apps.
PEOPLE LOVE TO ORDER FOOD DELIVERY
OVERVIEW
Taking the product from Concept to Launch
This project served as the go-to market for Halla.io’s mobile app delivery service. The main objectives for this launch were to:
Develop an All-In-One delivery service app where you can pick the fastest and best price delivery option for a restaurant
Getting partnerships to use the API for different delivery services
Sell products with Halla.io’s Food Recommendation Artificial Intelligence
A simple and intuitive way to order food delivery from the best delivery offering
BACKGROUND
Switching between all different delivery apps is a waste of time
To get started, you have to:
Download multiple applications
Switch back and forth between preferred applications
Remember prices or delivery times from desired apps
These barriers push you to stick to one platform that will ultimately lose you time and money.
OPPORTUNITY
All-In-One
This project served as the go-to market for Halla.io’s mobile app delivery service. The main objectives for this launch were to:
Business Goal: Develop an All-In-One food delivery for users to easily place and deliver at the fastest and best prices
Design Goal: Integrate multiple different food delivery platforms into one experience
User Goal: Pick and choose the best delivery option
User Acquisition
Develop a comprehensive strategy to acquire and retain users on the app, through methods such as social media marketing, partnerships, and SEO optimization.
On-boarding experience
Create an onboarding process that is simple, easy to understand, and guides the users on how to use the app and the different features it offers.
Payment Integration
Implement a seamless payment integration into the app, allowing users to pay directly through the app without having to switch between different apps.
AI Food Recommendation
Develop and fine-tune the AI food recommendation system to accurately predict and suggest food items to users based on their order history, preferences, and location.
Partner Relationship Management
Establish and maintain strong relationships with different food delivery services, in order to provide a diverse selection of options to users.
Data Analysis
Utilize data and analytics to understand user behavior, preferences, and feedback to continually improve the app experience.
Quality Assurance
Establish a thorough quality assurance process to ensure that the app is functioning correctly, and bugs are fixed promptly.
Continuous improvement
Continuously gather feedback from users, partners, and other stakeholders, to make data-driven decisions to improve the app.
Performance optimization
Optimize the app's performance to ensure it runs smoothly and efficiently, even during high-traffic periods.
Localization
Build the localization capability to the platform in order to expand to different regions, languages and cultures.