How Bramco Uses Samsara to Achieve 7x ROI on Fleet Maintenance Warranties
Bramco (Brandeis Machinery and Power Equipment) manages 300 vehicles and 700 employees across 17 locations in 5 states. The company deployed Samsara’s Connected Operations Platform—combining AI dash cams, fleet telematics, and Connected Maintenance—to centralize visibility it had never had before. The investment in Connected Maintenance is projected to return 7x its cost within a year through warranty recovery alone, while AI-powered invoice scanning saves over 400 hours annually.
Impact
7x within one year
ROI on Connected Maintenance investment via warranty recovery
400+ hours/year
Annual hours saved from AI-powered invoice scanning
27%
Reduction in fleet-wide speeding incidents
Challenge
Bramco managed 300 vehicles across 17 locations without centralized fleet visibility, resulting in manual invoice entry (20 minutes per work order), missed warranty coverage on a $2.3 million annual maintenance budget, and no systematic way to track fuel usage or driver safety across divisions.
Solution
Samsara Connected Operations Platform was deployed fleet-wide—combining Vehicle Gateways, AI Dash Cams, Connected Maintenance with AI invoice scanning, and Comdata fuel integration—to centralize fleet safety, maintenance, and fuel data on a single platform.
Tools & Technologies
What Leaders Say
“I couldn’t do my job without Samsara. We went from nothing to having tracking, cameras, fuel insights, and now maintenance—all in one place. It’s allowed us to be more efficient, operate more safely, and have real visibility into our entire operation.”
Sign up to read complete case studies, access detailed metrics, and unlock all use cases.
Full Story
Bramco is the financial holding company for Brandeis Machinery and Power Equipment, a heavy equipment sales, service, and rental business operating across five states with 700 employees and a fleet of 300 vehicles, including 190 large service trucks critical to daily field operations. At that scale, fleet performance and maintenance costs are central to profitability—but Bramco had built those operations independently across its divisions, without any centralized visibility.
Before Samsara, Bramco had no vehicle tracking, no centralized maintenance records, and no structured fuel oversight. Maintenance data lived in legacy systems that required manual invoice entry—taking up to 20 minutes per work order and yielding little insight into the company’s $2.3 million annual fleet spend. Without systematic warranty tracking, the team routinely missed coverage windows and absorbed repair costs that should have been covered. Fuel was managed separately across 17 branches, eliminating purchasing leverage and leaving potential fraud undetected.
Bramco deployed Samsara in deliberate phases. The rollout began with Vehicle Gateways and AI Dash Cams on large service trucks, prioritizing driver trust by disabling in-cab audio and tightly controlling video access. As adoption grew, Bramco expanded into fuel management—integrating its Comdata fuel program with Samsara across all 17 branches—and then into Connected Maintenance, bringing all three operational pillars onto one platform.
Connected Maintenance immediately transformed the warranty process. Centralized digital warranty tracking surfaced coverage opportunities the team had been missing, and AI-powered invoice scanning cut work order processing time from 20 minutes to under 2 minutes—saving more than 400 hours per year. The overall investment in Connected Maintenance is expected to pay for itself seven times over within a year in warranty claims alone. Meanwhile, AI Dash Cam coaching reduced fleet-wide speeding incidents by 27%, and the Samsara–Comdata integration added fraud detection and MPG analytics the company had never had.
With safety, fuel, and maintenance unified under one platform, Bramco’s leadership can now make purchasing decisions based on real vendor performance data and vehicle downtime—a capability that simply didn’t exist before. The company has moved from operating reactively to running a genuinely data-driven fleet.