Business System, E-commerce, Matching System, Mobile App, Web App
Service Matching
A service matching platform that connects users with various service providers, allowing them to search for, compare, and book different services based on their needs. Whether it's finding professionals for personal, business, beauty, or lifestyle services
1 year
Team size:
7
Requirements Definition
Basic Design
Detail Design
Development
Testing
Release
Maintenance
About Project:
This system streamlines the process by offering an easy-to-use interface and detailed service listings.
Key features include:
・Service Search and Comparison: Users can search for various services, compare offerings, and select the one that best fits their requirements.
・Booking System: The platform facilitates booking appointments or services directly through the website.
・User Profiles: Both service providers and users can create profiles, enabling better matching and personalized experiences.
・Reviews and Ratings: Users can leave reviews and ratings for services they've used, helping others make informed decisions.
・Messaging System: The platform includes a chat feature that allows users and service providers to communicate directly for inquiries or further arrangements.
・Administrative Dashboard: An administration site for managing users, messages, bookings, and other platform activities.
These features collectively aim to enhance user experience by providing a comprehensive and efficient service matching process.
Devices
.
Browser(Chrome, Safari), Iphone, Android Phone
Server and others
.
Google Cloud
Technology
PHP
Veritrans Payment
LINE
Pay Pay
Challenge
With many service providers adding listings across different industries and users interacting based on self-managed profiles and ratings, the platform must maintain quality, trust, and clarity—without overwhelming users or letting low-quality services erode platform credibility.
This challenge affects:
・Search relevance (users need to quickly find quality, relevant services)
・Booking reliability (avoiding no-shows or last-minute cancellations)
Solution
Smart Search & Comparison Engine
・Use machine learning algorithms to rank services based on relevance, ratings, responsiveness, and booking success rates.
・Let users compare providers by key factors: price, availability, verified status, ratings, specialties, and response time.
Reliable Booking Flow with Buffer Management
・Use a real-time calendar sync to prevent double-bookings.
・Include cancellation and reschedule policies with automated reminders for both parties.
・Offer rating incentives for keeping appointments.
Project Gallery
(13)
Testimonial
Mr Cho(趙 和鎭)
CEO at Webfit INC(代表取締役、 株式会社ウェブフィット)
Throughout the project, the team worked collaboratively and remained flexible in responding to feedback and changes. Their ability to understand the business logic behind a complex service matching system and translate it into a user-friendly, scalable platform is truly commendable. Great work, and congratulations on a successful launch!
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