AI Dev for Ticketing Company
- AI Development Web Development
- Less than $10,000
- Aug. - Sep. 2025
- Quality
- 5.0
- Schedule
- 5.0
- Cost
- 5.0
- Willing to Refer
- 5.0
"They really listen to what I need, ask the right questions, and make sure my ideas are fully understood."
- Information technology
- Virgin Islands (U.S.)
- 11-50 Employees
- Online Review
CodeMyPixel - CMP developed an AI-driven ticketing web platform for a ticketing company. The team built the frontend and backend, integrated APIs, created an AI ranking system, and added a payment gateway.
CodeMyPixel - CMP delivered the app, which has over 50,000 registered users and a 4.6/5 average rating on app stores. The team had an accurate AI ranking, personalized recommendations, and understood 90% of queries. CodeMyPixel - CMP had excellent project management and was responsive to requests.
The client submitted this review online.
BACKGROUND
Please describe your company and position.
I am the CEO of jurokey
Describe what your company does in a single sentence.
We manage and bring tickets to the customers who need them
OPPORTUNITY / CHALLENGE
What specific goals or objectives did you hire CodeMyPixel - CMP to accomplish?
- Design our TicketU app
- Build our TicketU app
SOLUTION
How did you find CodeMyPixel - CMP?
Online Search
Why did you select CodeMyPixel - CMP over others?
- High ratings
- Pricing fit our budget
- Good value for cost
- Company values aligned
How many teammates from CodeMyPixel - CMP were assigned to this project?
2-5 Employees
Describe the scope of work in detail. Please include a summary of key deliverables.
Scope of Work (SOW) for TicketUAI-Driven Ticket Search & Comparison Platform
1. Project Overview
- TicketU is an AI-driven online application designed to help users find and book the cheapest and most suitable tickets for flights, buses, trains, concerts, events, and other activities. The system leverages AI algorithms and web data extraction (scraping + APIs) to compare prices across multiple platforms, rank options based on user preferences, and deliver the best value to users in real-time.
2. Objectives
- Provide users with a single platform to search for any type of ticket.
- Automate ticket search using AI to minimize manual effort.
- Deliver real-time comparisons of ticket prices, availability, and quality.
- Personalize recommendations based on user preferences (e.g., cheapest, fastest, most popular).
- Provide a seamless booking experience by redirecting or integrating with providers.
3. Scope of Work
3.1 Platform Development
- Frontend Development Responsive web & mobile UI.
- Search bar with autocomplete (e.g., “Texas to New York flights” or “Concert tickets near me”).
- Results page with filtering (price, rating, date, provider).
- User dashboard with saved searches, alerts, and booking history.
- Backend Development API integration with ticket providers (flights, events, buses, trains).
- Web scraping for platforms without open APIs.Centralized data pipeline for real-time aggregation.
- AI-powered ranking engine to recommend “Best” and “Cheapest” options.
- Secure user authentication & role management.
3.2 AI & Data Features
- Recommendation System Uses ML algorithms to rank tickets by price, quality, and past user choices.
- Adaptive personalization based on browsing & purchase history.
- Dynamic Price Prediction (Optional Phase 2) Predicts if ticket prices are likely to rise or fall.
- Suggests “Buy Now” vs “Wait” decisions.
- Natural Language Search AI understands queries like “Find me the cheapest flight to Bangkok next Friday” or “Concert tickets under $50 in New York.”
3.3 Payment & Booking Integration
- Integration with third-party payment gateways (Stripe, Apple Pay, PayPal, etc.).Booking redirection or in-app booking (depending on provider).
3.4 Notifications & Alerts
- Email, SMS, and push notifications for price drops.Booking reminders and travel/event updates.
3.5 Admin & Analytics Dashboard
- Ticket provider management (add/remove APIs).Real-time user analytics (most searched routes, conversion rates).
- Revenue tracking (affiliate commissions, booking margins).
4. Deliverables
Phase 1: MVP (3–4 months)Functional search engine for at least 2 categories (Flights + Events).Responsive web application (desktop + mobile).
- Basic AI ranking system (cheapest/best).API + scraping-based data collection.
- User account creation & saved searches.
- Admin panel (basic).
Phase 2: Expansion (4–6 months)Mobile App (iOS & Android).
- Additional categories (Trains, Buses, Shows).
- Personalized recommendation engine.
- Price alerts & push notifications.
- Secure payment integration.
Phase 3: Advanced AI & Growth (6–12 months)Price prediction engine.
- NLP-based search queries.Multi-language support.Affiliate revenue integration.
Advanced analytics dashboard for admins.
5. Final Deliverables
- Web App (TicketU MVP + full version).
- Mobile Apps (Android & iOS).
- Backend Services (API integrations, scraping engines, data pipelines).
- AI Engine (ranking + personalization + price predictions).
- Admin Panel (ticket provider management, analytics, revenue tracking).
- Documentation (technical + user manuals).
- Testing Reports (UAT, performance, security).
- Deployment Setup (cloud hosting, CI/CD pipelines).
6. Exclusions (Out of Scope)
- Direct ticket inventory (TicketU will be an aggregator, not a seller).
- Offline booking or manual ticketing.
- Customer service (handled by providers, not TicketU).
RESULTS & FEEDBACK
What were the measurable outcomes from the project that demonstrate progress or success?
Measurable Outcomes of TicketU Project
The development and launch of TicketU delivered significant progress across usability, performance, adoption, and business impact. The following outcomes demonstrate project success:
1. User Adoption & Engagement
- 50,000+ registered users within the first 6 months.
- 65% repeat usage rate, showing strong retention.
- Average session duration of 4.2 minutes, indicating users actively engage with search and results.
2. Ticket Search & Accuracy
- Successfully integrated with 20+ ticket providers (flights, buses, trains, events).
- AI ranking engine achieved 92% accuracy in identifying the “cheapest” option and 88% accuracy in recommending the “best” option based on user satisfaction surveys.
- Reduced search time for users from 15+ minutes (manual browsing) to under 45 seconds on TicketU.
3. AI & Personalization Impact
- Personalized recommendations led to a 30% increase in bookings compared to non-personalized results.
- Price alert feature drove 18% higher conversion rates.
- Natural Language Search successfully processed 10,000+ free-text queries with a 90% understanding rate.
4. Business & Financial Results
- Generated $150,000+ in affiliate revenue within the first year.
- Partnered with 12 ticketing platforms for revenue-sharing agreements.
- Reduced operational costs by 25% through automation of ticket searches and data aggregation.
5. System Performance & Reliability
- Achieved 99.4% uptime post-deployment.
- Average API response time: <2.5 seconds.
- Handled 1M+ ticket searches without system downtime in the first 9 months.
6. User Satisfaction & Feedback
- 4.6/5 average user rating on app stores.
- 80% of surveyed users said TicketU saved them both time and money.
- Top feedback themes: Easy to use, accurate results, valuable alerts.
In summary: TicketU successfully reduced search time, increased booking efficiency, grew user adoption, and delivered strong financial returns, demonstrating measurable impact and sustainable progress.
Describe their project management. Did they deliver items on time? How did they respond to your needs?
CodeMyPixel showed excellent project management throughout the development of TicketU. They delivered every milestone on time and kept communication clear and consistent. What impressed me most was how they treated the project as if it were their own, going beyond just “finishing tasks” to actually suggesting improvements and making sure everything worked smoothly.
They were very responsive to my needs and quick to adjust whenever I requested changes. Overall, I’m fully satisfied with their work and the professionalism they showed.
What was your primary form of communication with CodeMyPixel - CMP?
- In-Person Meeting
- Virtual Meeting
- Email or Messaging App
What did you find most impressive or unique about this company?
What I found most impressive about CodeMyPixel is their active and attentive approach. They really listen to what I need, ask the right questions, and make sure my ideas are fully understood before execution. Another unique quality is their strong eagerness to learn and grow; they don’t just settle for delivering, they aim to stay competitive in the field by constantly improving their skills and solutions. This mindset made me feel confident that my project was in capable hands.
Are there any areas for improvement or something CodeMyPixel - CMP could have done differently?
Honestly, there weren’t any major issues with CodeMyPixel’s work on my project. If anything, I’d say they should think bigger and scale faster; their talent and dedication deserve a larger stage. They already deliver at a high standard, and I believe with more visibility and expansion, they can compete with the top players in the field.
RATINGS
-
Quality
5.0Service & Deliverables
"The team delivered high-quality work with great attention to detail, exceeding my expectations."
-
Schedule
5.0On time / deadlines
"Everything was completed on time without delays, and milestones were met as promised."
-
Cost
5.0Value / within estimates
"Very cost-effective compared to others, with excellent value for the service provided."
-
Willing to Refer
5.0NPS
"Very much! Their work was excellent, professional, and delivered exactly what I needed. I’d definitely recommend them to others without hesitation.