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Fix-It-Fast Appliances: 40% More Daily Jobs with Intelligent Routing

Fieldproxy Team - Product Team
appliance repair productivity case studyappliance-repair service managementappliance-repair softwareAI field service software

Fix-It-Fast Appliances, a regional appliance repair service operating across three states, was struggling with inefficient technician routing that left revenue on the table. Despite having 25 skilled technicians, they could only complete 3-4 jobs per day per technician due to poor scheduling and excessive drive time. After implementing Fieldproxy's AI-powered field service management software, they increased daily job completion by 40% while reducing fuel costs by 28%.

The company's transformation demonstrates how intelligent routing technology can revolutionize appliance repair operations. Within just three weeks of deployment, Fix-It-Fast saw technicians completing 5-6 jobs daily instead of their previous 3-4, directly impacting both revenue and customer satisfaction. This case study explores the specific challenges they faced and the measurable results achieved through Fieldproxy's unlimited user platform.

The Challenge: Inefficient Routing Limiting Growth

Fix-It-Fast Appliances had built a strong reputation for quality repairs, but their operational efficiency was holding them back. Their dispatch team spent hours each morning manually planning routes using spreadsheets and printed maps, often missing opportunities to group nearby jobs together. Technicians frequently drove 45-60 minutes between appointments, wasting valuable time that could be spent generating revenue.

The company's owner, Marcus Thompson, recognized that their manual scheduling process couldn't scale. Emergency calls would disrupt carefully planned routes, forcing dispatchers to scramble and reorganize schedules on the fly. Similar to the challenges faced in Metro Plumbing's growth journey, Fix-It-Fast needed technology that could handle complexity without adding administrative overhead.

  • Average 2.5 hours daily drive time per technician
  • Manual route planning taking 2-3 hours each morning
  • Only 3-4 jobs completed per technician daily
  • Emergency calls causing complete schedule disruptions
  • No real-time visibility into technician locations
  • Customer complaints about late arrivals and missed time windows

Why Traditional Scheduling Failed

The dispatch team at Fix-It-Fast was using a combination of spreadsheets, Google Maps, and phone calls to coordinate their 25 technicians. Each morning started with a two-hour planning session where dispatchers tried to assign jobs based on technician skills, parts availability, and rough geographic proximity. However, without intelligent algorithms, they couldn't optimize for the dozens of variables that affect route efficiency.

When emergency calls came in throughout the day, the entire system would collapse. Dispatchers had no way to quickly identify which technician was closest to a new job or which scheduled appointment could be safely moved. This reactive approach meant technicians often crisscrossed the service area multiple times daily, burning fuel and limiting the number of customers they could serve.

Marcus knew they needed an automated solution but worried about implementation complexity. Having heard horror stories about lengthy software deployments, he was hesitant to commit to a system that might take months to configure. The breakthrough came when he discovered fieldproxy-in-18-hours-during-peak-season-d1-42">how ABC Heating deployed Fieldproxy in just 18 hours, proving that rapid implementation was possible even during busy periods.

The Fieldproxy Solution: Intelligent Routing in Action

Fix-It-Fast chose Fieldproxy specifically for its AI-powered routing capabilities and rapid deployment promise. The implementation team began on a Monday morning, and by Tuesday afternoon, all 25 technicians were using the mobile app. The system immediately started analyzing job locations, technician skills, traffic patterns, and appointment windows to create optimized daily routes that maximized productivity.

The intelligent routing engine considers multiple factors simultaneously when assigning jobs. It evaluates real-time traffic conditions, technician specializations, parts inventory on each vehicle, and customer time preferences to create routes that minimize drive time while respecting all constraints. When emergency calls arrive, the system instantly recalculates optimal assignments, identifying which technician can respond fastest without significantly disrupting other scheduled appointments.

  • AI-powered route optimization reducing drive time by 35%
  • Real-time traffic integration avoiding delays
  • Skills-based assignment matching technicians to job requirements
  • Dynamic rerouting for emergency calls
  • Automated time window compliance
  • One-click route adjustments for last-minute changes

The mobile app provided technicians with turn-by-turn navigation optimized for their entire day's schedule. Instead of checking their phones between each job to figure out where to go next, technicians simply followed the app's guidance. This eliminated confusion and reduced the mental load on field workers, allowing them to focus on delivering excellent customer service rather than logistics.

Measurable Results: 40% Increase in Daily Productivity

The impact of intelligent routing became evident within the first week. Technicians who previously completed 3-4 jobs daily were now consistently finishing 5-6 jobs, a 40% increase in productivity. This improvement came not from working longer hours but from eliminating wasted drive time and optimizing the sequence of appointments throughout the day.

Average daily drive time per technician dropped from 2.5 hours to 1.6 hours, saving nearly an hour that could be redirected to revenue-generating activities. Over a month, this translated to each technician completing 20-25 additional jobs, significantly increasing company revenue without hiring additional staff. The financial impact was immediate and substantial, with monthly revenue increasing by 35% within the first quarter.

  • 40% increase in daily jobs per technician (from 3-4 to 5-6)
  • 35% reduction in average drive time per technician
  • 28% decrease in monthly fuel costs
  • 35% increase in monthly revenue
  • 92% on-time arrival rate (up from 67%)
  • 47% reduction in dispatcher workload

Customer satisfaction scores improved dramatically as well. The on-time arrival rate jumped from 67% to 92%, and customer complaints about missed time windows virtually disappeared. Customers appreciated receiving accurate arrival notifications and rarely experienced the frustration of waiting around all day for a technician. This improvement in service quality led to a 23% increase in repeat customers and positive online reviews.

Beyond Routing: Additional Efficiency Gains

While intelligent routing delivered the most dramatic improvements, Fix-It-Fast discovered additional efficiency gains from other Fieldproxy features. The digital work order system eliminated paperwork and reduced administrative time, similar to Bright Electrical's invoicing transformation. Technicians could now complete job documentation in the field, capturing photos, customer signatures, and notes directly in the mobile app.

The parts inventory tracking feature helped technicians arrive at jobs with the right components, reducing return trips. The system tracked which parts each technician carried and automatically suggested restocking when inventory ran low. This visibility eliminated situations where technicians discovered mid-job that they lacked a necessary part, preventing delays and improving first-time fix rates.

Real-time visibility gave management unprecedented insight into field operations. Marcus could see exactly where each technician was, monitor job progress, and identify bottlenecks as they occurred. This transparency enabled proactive management rather than reactive firefighting, allowing the leadership team to spot trends and make data-driven decisions about resource allocation and service area expansion.

The Unlimited Users Advantage

One factor that made Fix-It-Fast's decision easier was Fieldproxy's unlimited user model. Unlike competitors who charged per user, making growth expensive, Fieldproxy's pricing structure allowed them to add all 25 technicians plus dispatchers and managers without worrying about escalating software costs. This pricing transparency made budgeting simple and removed barriers to scaling the team.

When Fix-It-Fast hired three additional technicians two months after implementation, adding them to the system took minutes and cost nothing extra. This flexibility proved crucial as the company grew, enabling them to respond to increased demand without software licensing becoming a constraint. The unlimited user approach aligned perfectly with their growth objectives and removed the traditional software penalty for success.

Implementation: Faster Than Expected

Marcus had budgeted two weeks for implementation, expecting disruption and a learning curve. Instead, the Fieldproxy team had the system configured and running in less than 24 hours. The implementation specialist imported existing customer data, set up service territories, configured job types specific to appliance repair, and trained the dispatch team in a single intensive day.

Technician training happened through brief video tutorials and hands-on practice with the mobile app. The intuitive interface required minimal explanation, and most technicians were comfortable using the system after their first day. The implementation team provided ongoing support during the first week, but Fix-It-Fast was essentially self-sufficient after just three days of using the platform.

Lessons for Other Appliance Repair Companies

Fix-It-Fast's experience offers valuable lessons for other appliance repair businesses struggling with scheduling inefficiency. The most important insight is that intelligent routing isn't a luxury reserved for enterprise companies—it's an accessible technology that delivers immediate ROI for businesses of any size. The productivity gains and cost savings typically pay for the software within the first month of use.

Marcus emphasizes that waiting for the "perfect time" to implement new technology is a mistake. His company deployed Fieldproxy during their busy season and still experienced a smooth transition. The key was choosing a platform designed for rapid deployment with minimal disruption. Companies that delay implementation continue losing money every day through inefficient operations that could be easily optimized.

Conclusion: Technology as a Growth Enabler

Fix-It-Fast Appliances' 40% productivity increase demonstrates the transformative power of intelligent routing technology. By eliminating manual scheduling inefficiencies and optimizing technician routes, they unlocked capacity that was always present but previously wasted on excessive drive time. The results—more jobs completed, higher revenue, better customer satisfaction, and lower costs—validate the strategic importance of modern field service management software.

For appliance repair companies operating with manual scheduling or outdated software, the opportunity cost of inaction grows daily. Every inefficient route represents lost revenue and frustrated customers. Fieldproxy's AI-powered platform offers a proven path to operational excellence with rapid implementation, unlimited scalability, and measurable results. The question isn't whether intelligent routing will improve your business—it's how much growth you're willing to leave on the table while you wait.