Qube Cinemas
Managing cinema installations and maintenance across multiple locations required seamless coordination. Fieldproxy transformed our operations.
The Old System
Before Fieldproxy, Qube Cinemas relied on a patchwork of disconnected systems. They used Excel spreadsheets for scheduling, WhatsApp groups for technician coordination, and phone calls to dispatch emergency jobs. Asset information was scattered across multiple databases with no single source of truth. Work orders were printed on paper, making it impossible to track job status in real-time.
Their operations team spent hours every day manually coordinating technicians, checking availability, and trying to match the right person with the right skills to each job. When a projector failed during peak showtime, it took multiple phone calls just to find an available technician, then more calls to brief them on the issue. Response times averaged 3-4 hours, directly impacting cinema revenue and customer satisfaction.
Excel + WhatsApp Chaos
Scheduling in spreadsheets, coordination through group chats, no visibility into who's doing what or where
No Asset Intelligence
Maintenance history scattered across files, technicians arrived without knowing equipment details or past issues
3-4 Hour Response Time
Manual coordination meant cinemas waited hours while projectors stayed broken during prime showtime
Flying Blind
No data on technician performance, no insights on recurring issues, no way to improve processes
Why Generic Tools Didn't Work
Qube Cinemas tried several generic field service platforms before Fieldproxy. Each one failed because they were designed for industries with simpler operations. Cinema technology management has unique complexities that off-the-shelf solutions couldn't handle.
Generic FSM Software - Too Rigid
Required extensive customization to handle complex cinema equipment hierarchies (screens with projectors, servers, sound systems, automation). Configuration took months and still didn't fit their workflows. Technicians complained the interface was too complicated for field use.
Basic Ticketing Systems - No Asset Context
Created work orders but had no understanding of equipment relationships. When a projector failed, there was no connection to which screen, which automation system, or what the maintenance history was. Technicians still needed phone calls to get critical information.
Simple Scheduling Apps - No Intelligence
Could assign jobs to technicians but had no concept of skills, certifications, or equipment expertise. Led to wrong technicians being sent, failed first-time fix rates, and repeat visits. Couldn't handle emergency prioritization or dynamic rescheduling.
How AI Made the Difference
Fieldproxy didn't ask Qube Cinemas to configure fields, set up workflows, or define business rules. Instead, their operations team simply described their work in natural language: "We manage cinema equipment across 2,000 sites. Each screen has a projector, server, sound system, and automation. Technicians need to see maintenance history and equipment relationships before arriving."
The AI took those conversations and automatically configured the entire FSM system. It created asset hierarchies, set up intelligent dispatch rules, built technician matching logic, and established workflows. No manual setup, no configuration screens, no technical expertise required.
AI Configured Asset Relationships
When Qube said Each cinema screen has interconnected equipment the AI didn't just create asset records It understood hierarchical relationships automatically configured parent-child links between screens and their components set up maintenance cascading rules and built intelligent queries so technicians see the full equipment context instantly Zero manual field mapping zero configuration screens
Complex asset hierarchies configured through conversation not months of data modeling
AI Generated Dispatch Logic
Qube described their ideal dispatch Match technicians based on equipment expertise past success with similar issues current location and availability The AI transformed that sentence into sophisticated dispatch algorithms It learned from job outcomes refined matching criteria automatically and continuously optimized assignment rules without anyone touching configuration files
Intelligent dispatch built from simple descriptions not rigid rule engines
AI Built Route Optimization
Instead of configuring routing algorithms Qube simply said Minimize response time for emergencies while keeping scheduled appointments The AI configured dynamic routing that balances urgency with efficiency automatically adjusts for traffic patterns and recalculates instantly when priorities change The system learned optimal routing strategies from real-world outcomes
Enterprise-grade routing configured through a single conversation
AI Adapted Workflows Automatically
Qube described their approval processes emergency escalations and documentation requirements in plain language The AI turned those descriptions into working workflows complete with conditional logic automatic notifications and compliance checks When they mentioned critical issues need different handling the system understood and configured priority-based workflows without manual flow diagrams
Custom workflows generated from descriptions not flowchart builders
The Transformation
Spent months trying to configure generic FSM tools to match their workflows projects abandoned
Described operations in natural language AI configured the entire system in days
Manual data modeling to create asset hierarchies relationships constantly broke as structure changed
AI understood equipment relationships from conversation adapted automatically as operations evolved
Hired consultants to build custom dispatch logic took 6+ months and didn't match real needs
Said match technicians by expertise and location AI configured intelligent dispatch instantly
Workflow tools required flow diagrams and technical knowledge operations team couldn't make changes
Operations team describes process changes in chat AI reconfigures workflows automatically
Configuration changes required IT involvement simple adjustments took weeks
AI learns from feedback refines configuration continuously based on how teams actually work
The Results
AI-powered dispatch eliminated 80% of manual coordination work
Intelligent asset context gave technicians everything they need before arriving on site
Smart routing reduced response time by 70%, protecting cinema revenue during breakdowns
Pattern recognition identified recurring issues, enabling proactive preventive maintenance
Automated workflows adapted to their processes instead of forcing process changes
Real-time visibility replaced constant phone calls and status check-ins
First-time fix rate jumped from 60% to 95% with better technician matching
Complete operational intelligence replaced guesswork and gut decisions
Why This Worked
The key difference wasn't just digitization - it was intelligent automation. Other systems required Qube Cinemas to conform to rigid workflows. Fieldproxy's AI learned their operations and configured itself to work the way they already worked, but infinitely more efficiently.
The transformation happened in weeks, not months. Technicians adopted the mobile app immediately because it made their jobs easier, not harder. The operations team went from spending all day coordinating to focusing on strategic improvements. Most importantly, cinemas experienced dramatically faster response times, minimizing revenue loss from equipment downtime and strengthening Qube's reputation for exceptional service.