EventsCross Platform Development8 Week Engagement

Cross Platform Event Ticketing App with QR Check In and Admin Tools

An events company needed a ticketing app that could scale for busy check in periods. We built a cross platform app with QR scanning, offline fallback for venue connectivity issues, and an admin dashboard workflow that reduced line time and improved check in accuracy.

Confidential engagement. NDA available upon request.

65%

Faster Check In

0.5%

Scan Error Rate

2

Seconds per Scan

8

Weeks to Launch

01. Client Overview

About the Client

Industry

Events

Company Size

30 to 70 staff and contractors

Background

A ticketing operator supporting multiple venues. Check in lines were long during peak periods and staff needed a faster and more reliable workflow.

02. The Problem

Operational Constraints

Peak traffic behavior

Check in had to be fast and reliable during surges, with minimal UI friction.

Connectivity issues at venues

Some venues had unstable connectivity, requiring offline capability for validation.

Fraud prevention

Duplicate scans and invalid tickets had to be detected quickly and consistently.

Admin oversight

Supervisors needed visibility into counts, exceptions, and staff performance.

03. Objective

The Mission

Build a cross platform ticketing system that improves check in speed, prevents duplicates, and stays reliable when connectivity is unstable.

04. Approach and Methodology

How We Approached It

01. Workflow and data model

Week 1 to 2
  • Check in flow mapping with staff
  • QR schema and validation rules definition
  • Offline fallback design and reconciliation rules
  • Admin reporting requirements

02. Build and testing

Week 3 to 7
  • Cross platform app implementation with scanning
  • Offline cache and sync reconciliation
  • Load testing with simulated peak scans
  • Field testing in live venue conditions

03. Launch

Week 8
  • Pilot at one event with on site support
  • Telemetry and error monitoring
  • Adjustments based on field feedback
  • Rollout playbook for venues
05. Key Findings

Vulnerabilities Discovered

0

CRITICAL

1

HIGH

2

MEDIUM

1

LOW

Severity
Vulnerability
HIGH

Duplicate scan handling under offline mode

Offline validation required strong reconciliation rules to prevent duplicate admissions.

MEDIUM

Scan feedback needed to be faster

UI feedback timing impacted throughput during peak periods.

MEDIUM

Admin reporting definitions varied

Metrics needed consistent definitions to avoid confusion across venues.

LOW

Device camera performance variance

Older devices required additional scan tuning to maintain speed.

06. Solution Implemented

How We Fixed It

Offline reconciliation rules

Implemented local validation with server reconciliation and duplicate detection.

High throughput scanning UX

Optimized feedback, animations, and scan flow to reduce time per attendee.

Admin visibility

Implemented clear operational dashboards for counts, exceptions, and performance.

07. Results and Impact

Measurable Outcomes

The new system reduced check in lines and improved accuracy, enabling smoother event operations across venues.

65%

Faster Check In

2

Seconds per Scan

0.5%

Scan Error Rate

40%

Fewer Exceptions

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