Machine Learning Based Matchmaking CMS Platform
To automate the whole process of collecting the profiles to matching them and scheduling the dates with automated reminders.
The Challenge
Our client ran an offline matchmaking business, scheduling blind dates between people of various backgrounds and profiles. The entire flow — collecting profiles, matching them, scheduling dates, and sending reminders — was handled manually, which limited scale and introduced inconsistency. The goal was to automate the whole process so the business could run with minimal human intervention.
What We Built
Profile Collection and Registration
Profile collection starts at the registration page, which walks each person through a series of questions to build a detailed picture of who they are. All profiles are gathered in a structured order, reducing misunderstandings later, with a clean UX throughout. The backend admin panel is where those profiles are stored and managed.
ML-Based Matching Algorithm
Matching is driven entirely by a Machine Learning algorithm. It weighs profile preferences and attributes with no manual input, so compatibility results are consistent and don't rely on anyone's gut call. Matching two people for a blind date isn't trivial — you need to weigh a range of preferences across both profiles — and that's exactly the problem this platform was built to solve.
Date Scheduling and Conflict Prevention
Booking multiple dates at once is straightforward. The calendar view prevents scheduling conflicts, so there's no risk of overlapping dates.
Automated Confirmations and Reminders
Once a date is confirmed, automatic emails go out to both users with full details and options to manage their appointment directly from the message.
The Result
The platform automated the client's entire matchmaking workflow — from profile intake to ML-driven matching, scheduling, and automated email confirmations. When the matching logic runs itself, a business owner can focus on growth rather than logistics.