PALMR8D

PALMR8D

PalmR8D is a smart app for discovering, sharing, and ordering food.

PalmR8D is a smart app for discovering, sharing, and ordering food.

Project Overview

Client Name

Symon Adeji

Project Name

PalmR8D

Industry

Social Networking

Project Duration

Ongoing

Team size

3-4 engineers

Client Profile

Company

Company

Seed-funded Food-Tech startup based in USA

Seed-funded Food-Tech startup based in USA

Focus

Focus

Personalized food discovery platform with AI-powered recommendations and social engagement

Personalized food discovery platform with AI-powered recommendations and social engagement

Market Opportunity

Market Opportunity

Growing global addressable market

Growing global addressable market

Target Audience

Target Audience

Food enthusiasts, restaurant owners, chefs, content creators, and culinary influencers

Food enthusiasts, restaurant owners, chefs, content creators, and culinary influencers

The Challenge

Problem Statement

The food discovery and social marketplace landscape faced significant challenges.

Problem Statement

The food discovery and social marketplace landscape faced significant challenges.

Problem Statement

The food discovery and social marketplace landscape faced significant challenges.

Limited personalization in food recommendations based on dietary preferences and restrictions

Limited personalization in food recommendations based on dietary preferences and restrictions

Limited personalization in food recommendations based on dietary preferences and restrictions

Disconnected experience between food discovery, social engagement, and commerce

Disconnected experience between food discovery, social engagement, and commerce

Disconnected experience between food discovery, social engagement, and commerce

Lack of credible rating systems for authentic culinary experiences

Lack of credible rating systems for authentic culinary experiences

Lack of credible rating systems for authentic culinary experiences

Inefficient monetization channels for food influencers and content creators

Inefficient monetization channels for food influencers and content creators

Inefficient monetization channels for food influencers and content creators

Need for intelligent matching of users with culinary experiences that align with their preferences

Need for intelligent matching of users with culinary experiences that align with their preferences

Need for intelligent matching of users with culinary experiences that align with their preferences

Fragmented approach to food discovery across multiple platforms

Fragmented approach to food discovery across multiple platforms

Fragmented approach to food discovery across multiple platforms

Key Challenges

Challenge 1

Creating an intuitive, user-friendly platform that seamlessly integrates social networking, personalized food discovery, and commerce

Challenge 2

Developing a sophisticated AI recommendation engine that considers dietary preferences, restrictions, and user behavior

Challenge 3

Building a scalable architecture to support rapid growth and diverse user roles

Challenge 4

Implementing a fair and engaging rating system that benefits both consumers and businesses

Challenge 5

Creating monetization opportunities for content creators while maintaining platform integrity

The Solution

Our Approach

Developed a comprehensive, multi-role ecosystem comprising.

01

User-facing mobile application with role-based functionality for food enthusiasts, businesses, and content creators

01

User-facing mobile application with role-based functionality for food enthusiasts, businesses, and content creators

01

User-facing mobile application with role-based functionality for food enthusiasts, businesses, and content creators

02

Personalized recommendation engine powered by Vertex AI

02

Personalized recommendation engine powered by Vertex AI

02

Personalized recommendation engine powered by Vertex AI

03

Dynamic leaderboard system for discovering top-rated culinary experiences

03

Dynamic leaderboard system for discovering top-rated culinary experiences

03

Dynamic leaderboard system for discovering top-rated culinary experiences

04

Integrated commerce platform for seamless ordering and reservations

04

Integrated commerce platform for seamless ordering and reservations

04

Integrated commerce platform for seamless ordering and reservations

05

Content creation tools for users to share and monetize their culinary experiences

05

Content creation tools for users to share and monetize their culinary experiences

05

Content creation tools for users to share and monetize their culinary experiences

06

Multi-role architecture supporting flexible user participation across different platform functions

06

Multi-role architecture supporting flexible user participation across different platform functions

06

Multi-role architecture supporting flexible user participation across different platform functions

Key Features Delivered

Role-Based User Experience

Foodie role for discovering and rating content

Vendor role for restaurants, chefs, and food businesses

Curator role for creating custom rankings and monetizing influence

Seamless role-switching within a single account

Role-Based User Experience

Foodie role for discovering and rating content

Vendor role for restaurants, chefs, and food businesses

Curator role for creating custom rankings and monetizing influence

Seamless role-switching within a single account

Innovative Rating System

"Blast" ratings for specific food posts rather than just establishments

Multi-dimensional rating categories (content quality, culinary knowledge, etc.)

Credibility metrics for rating sources

Aggregated ranking algorithms for fair leaderboard placement

Integrated Commerce

Direct food ordering from restaurant profiles

Reservation system with slot management

Secure payment processing via Stripe

Order tracking and history

Curator Monetization

Custom leaderboard creation tools for influencers

Revenue sharing from transactions initiated through curator content

Audience building and engagement metrics

Content performance analytics

Social Engagement Features

Following system for users, businesses, and curators

Direct messaging between platform participants

Content saving and collection tools

Story creation and sharing functionality

Role-Based User Experience

Foodie role for discovering and rating content

Vendor role for restaurants, chefs, and food businesses

Curator role for creating custom rankings and monetizing influence

Seamless role-switching within a single account

Role-Based User Experience

Foodie role for discovering and rating content

Vendor role for restaurants, chefs, and food businesses

Curator role for creating custom rankings and monetizing influence

Seamless role-switching within a single account

Innovative Rating System

"Blast" ratings for specific food posts rather than just establishments

Multi-dimensional rating categories (content quality, culinary knowledge, etc.)

Credibility metrics for rating sources

Aggregated ranking algorithms for fair leaderboard placement

Integrated Commerce

Direct food ordering from restaurant profiles

Reservation system with slot management

Secure payment processing via Stripe

Order tracking and history

Curator Monetization

Custom leaderboard creation tools for influencers

Revenue sharing from transactions initiated through curator content

Audience building and engagement metrics

Content performance analytics

Social Engagement Features

Following system for users, businesses, and curators

Direct messaging between platform participants

Content saving and collection tools

Story creation and sharing functionality

Business Meeting
Business Meeting
Business Meeting

Technical Stack

React Native

Node js

Firebase Firestore

Google Vertex AI

Firebase Authentication

Stripe

Google Analytics 4 and Firebase Analytics

Google Cloud Platform

Firebase Realtime Database

Implementation Process

01

Discovery & Architecture Planning

User research and persona development

Technical architecture design

AI recommendation strategy

Multi-role system planning

Core Platform Development

User authentication and profile management

Role-based interface development

Content creation and sharing functionality

Rating system implementation

02

03

Advanced Features Integration

AI recommendation engine development

Leaderboard algorithms implementation

Commerce functionality integration

Curator tools and monetization system

Testing & Optimization

User acceptance testing across different roles

Performance optimization

AI recommendation tuning

Security testing

04

05

Deployment & Launch Support

Production deployment

Monitoring and performance tuning

User onboarding

Post-launch support and optimization

Architecture & Technical Innovations

Serverless Architecture

40% lower infrastructure costs (pay-per-use)

Reliable with built-in redundancy

Enables rapid feature deployment

Auto-scalable for viral traffic

AI Recommendation Engine

Personalized suggestions via multi-factor algorithm

Learns from user behavior for smarter results

Explains why items are recommended

Real-time, efficient processing

Multi-Role System

Hierarchical data model for complex relationships

Role-based permissions and smooth switching

One account, multiple roles

Integration Ready

Built to scale and integrate with third-party services

API-first design and webhook support

Works across devices