Technology Category
- Analytics & Modeling - Machine Learning
- Sensors - Autonomous Driving Sensors
Applicable Industries
- Automotive
- Education
Applicable Functions
- Human Resources
- Maintenance
Use Cases
- Inventory Management
- Smart Parking
Services
- Training
About The Customer
YourMechanic is a fast-growing mobile car repair and maintenance services startup based in the United States. The company provides services to car owners at their location, operating in over 700 cities across 50+ major metro areas in the U.S. The startup is disrupting the traditional auto maintenance industry by offering convenient, on-location services. As part of its growth strategy, YourMechanic is focused on driving more customer bookings, conversions, and improving the overall customer experience. The company records every customer call and is committed to leveraging technology to enhance its services and business operations.
The Challenge
YourMechanic, a fast-growing mobile car repair and maintenance services startup, was facing challenges in managing its rapidly expanding business. The company was seeking to improve its coaching insights, address gaps in agent soft skills, and identify new growth opportunities. Despite recording every customer call, the company was only able to monitor 1-2% of them, which limited their ability to understand customer experiences and identify key interactions that lead to conversions. The startup was also struggling to collect broad business insights to inform their decision-making process. The company operates in over 700 cities across 50+ major metro areas in the U.S. and was aiming to increase customer bookings, conversions, and enhance the overall customer experience.
The Solution
YourMechanic turned to Observe.AI to analyze 100% of voice calls, optimize their performance management, and enhance agent coaching with tailored training programs. With Observe.AI, the company gained full visibility into customer interactions. Quality analysts could monitor business-specific keywords across every call and use machine learning to automatically surface the most meaningful interactions, such as compliance and process gaps or coaching opportunities. The company focused on three core metrics: successful bookings, identifying zip codes they cannot serve, and determining jobs that cannot be performed. By understanding what interactions lead to positive outcomes, they were able to adjust scripting and improve conversion rates. The company also extracted important business insights, such as zip codes and jobs that people were requesting but could not yet be served, to develop future offerings or expand to new cities. Furthermore, the company used Observe.AI to gauge the usage of empathy statements and courtesy words on all voice calls, identify agents in need of coaching, and focus on improving baseline numbers.
Operational Impact
Quantitative Benefit
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