M.B.Mohammad Bayu Rizki

Available / --:--:-- WIB

09 / 2025 / Mobile / Platform

Liora Match Platform

The product needed to handle different user roles, teaching formats, and pricing models across web, mobile, and backend services.

Liora Match Platform Client visual

Client

Context and business domain

00 / Design System

Palette Logic

Mobile / Platform

09
2025

Typography

Inter

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Layout Grid

12-column responsive index structure.

Deep Slate

#0D1B1E

Graphite

#3D3D3D

Clear White

#F8F8F8

Soft Signal

#C9FBC6

Connected System

Full-Stack Product System connects the visual language, interaction rhythm, and evidence structure for this case study.

01 / Challenge

The Challenge

The product needed to handle different user roles, teaching formats, and pricing models across web, mobile, and backend services.

02 / Methodology

Methodology / Experiment

  1. 01

    Role Architecture

    Mapped separate workflows for students, teachers, and superadmins across mobile and web surfaces.

    3 role groups90%
  2. 02

    Learning Commerce

    Modeled online courses, private tutoring, public lessons, assignments, bookings, and payments in one platform.

    EdTech model88%
  3. 03

    Service Layer

    Organized NestJS, Prisma, MySQL, Redis, Firebase, Socket.io, and Midtrans into a deployable platform stack.

    Full stack86%

03 / Solution

The Solution

Liora Match mobile application UI preview

Mobile Learning Experience

The mobile UI supports discovery, profile setup, lesson matching, progress, messaging, and student flows.

Liora Match platform landing preview

Backend and Admin System

The platform includes REST APIs, real-time messaging, Firebase authentication, Midtrans payment, and admin management.

Open backend/admin

04 / Impact

Impact & Metrics

15+

Data Models

The README describes user, class, booking, session, transaction, message, and notification models.

03

Client Layers

The architecture covers mobile app, admin panel, and landing website.

Pay

Payment Flow

Midtrans support is included for the learning commerce layer.