Full Line Ag Cuts Customer Response Time to 30 Seconds
How a Leading AGCO Dealer Group Uses AI-Powered Work Order Story Sharing to Improve Service Speed, Quoting Accuracy & Team Performance
Background
Full Line Ag is a leading agricultural equipment dealership in Western Canada, representing AGCO brands including Fendt, Massey Ferguson, and Gleaner. Recognized as NAEDA’s 2025 Dealer of the Year and a multi-year AGCO Pro Parts and Pro Service Awards winner, Full Line Ag is known for delivering high-quality, responsive service.
As equipment complexity increased and customer expectations for uptime grew, the dealership remained focused on adopting technology to better support its team and deliver faster, more reliable service.
The Challenge
Full Line Ag faced operational pressures impacting service efficiency and the customer experience:
Slow Access to Answers
Service teams fielded constant technical questions, often requiring time-consuming searches through manuals and systems.
Repeated Troubleshooting
Technicians frequently re-diagnosed issues that had already been solved elsewhere, leading to lost time and inefficiency.
Quoting Delays
Building accurate quotes for unfamiliar repairs took hours and often required input from multiple team members, pulling technicians away from billable work.
Knowledge Gaps
With a wide range of equipment and varying experience levels, it was difficult to quickly access the right expertise.
Customer Response Pressure
Customers expected immediate answers, especially during critical seasons.
“We want customers to walk in, ask a question, and get an answer right away—not be told we’ll get back to them in two days.”
– Terry Swystun, Owner, Full Line Ag
The Solution
To address these challenges, Full Line Ag implemented Vi by visorPRO®, the AI-powered service assistant designed for equipment dealerships. A key capability is work order story sharing, enabling participating dealers to securely access anonymized repair insights from other organizations. This includes technician notes, diagnostic steps, repair outcomes, and parts usage from real service experiences.
Instant Answers Across Systems
Teams searched manuals and work orders in one place to find answers in seconds, often while still on the phone with the customer.
Shared Work Order Insights
Opting in to access work order stories from other dealership groups enabled the team to apply proven fixes from similar jobs with more speed and accuracy.
Faster, More Accurate Quoting
Service teams used real repair history to understand labor, parts, and steps required, reducing quote build time.
Reduced Interruptions to Technicians
Service, parts, and less experienced staff answered questions independently without pulling technicians off jobs.
Improved Work Order Stories
Technicians used service and parts history to complete work orders faster and more consistently, strengthening documentation quality.
Scalable Knowledge Across the Team
Experience across the dealership group became accessible to every team member, reducing reliance on individual expertise.
The Results
Full Line Ag improved customer responsiveness, service efficiency, and operational consistency by making proven repair knowledge accessible in seconds:
30-Second Customer Answers:
Teams responded in real time, improving responsiveness and trust.
Faster Diagnostics & Less Rework:
Technicians accessed relevant repair insights quickly, reducing diagnostic time and eliminating repeated troubleshooting.
Quicker, More Consistent Quoting:
Quotes that previously took hours or days were built significantly faster using real repair history.
Improved Team Productivity:
Staff answered questions independently, reducing interruptions and keeping technicians focused on billable work.
Faster Training & Greater Staffing Flexibility:
New team members ramped up faster, and the dealership maintained performance even during staffing shortages.
Better Customer Experience:
Teams identified required parts and labour up front—reducing repeat visits, improving equipment uptime and customer satisfaction.
“The biggest improvement we saw was in staffing flexibility. Our entire team has been able to step up, use Vi to answer questions in real time, and keep technicians focused on their work. Instead of pulling people off jobs, we kept things moving, saved time, and improved profitability.”
– Austin Swystun, General Manager, Full Line Ag
Why It Matters
Full Line Ag’s experience shows how AI and shared service knowledge directly improve dealership performance:
- Faster Customer Response: Real-time answers improve satisfaction and reduce downtime during critical seasons.
- Increased Technician Productivity: Less time searching and troubleshooting means more billable work.
- Improved Staffing Flexibility: Teams maintain performance even when key roles aren't filled.
- Faster Training and Onboarding: New team members ramp up quickly using proven repair insights.
- Higher First-Time Fix Rates: Better access to proven repair history reduces rework.
- Stronger Profitability: Accurate quoting, improved efficiency, and better workflow consistency drive margin growth.
Ready to see the same results?