Read about organizations, their journey toward modern maintenance, and true success stories from the field

Navigating Supply Chain Disruptions: Case Studies

How leading trucking companies built resilient operations and reduced disruption impact by 73%—learn proven strategies from real-world supply chain crisis management. Discover how proactive planning,...

Curtain Side Trucks: Hino 338 Optimizes Flexible Freight Delivery

How Swift Logistics revolutionized last-mile delivery using Hino  338 curtain side trucks, achieving 52% loading efficiency improvement and reducing delivery  times by...

Food Concession Trailers: Wells Cargo Boosts Mobile Catering Success

How Tasty Street Foods transformed their mobile catering  business with Wells Cargo concession trailers, achieving 62% revenue growth and  reducing operational costs by...

Explosives Emulsion Trucks: Mack Granite Powers Mining Operations in 2025

How Mountain Peak Mining Corporation revolutionized  explosive delivery operations using Mack Granite emulsion trucks, achieving 45% efficiency gains and preventing 94% of safety...

How Aspen A-62 Bridge Inspection Trucks Enhance Infrastructure Safety in 2025

Revolutionary under-bridge inspection technology reduces inspection time by 65% while achieving 99.7% defect detection accuracy - discover how the  Aspen A-62 is  transforming...

Cutting Fuel Costs: Lessons from Leading Fleets

How National Transport Solutions reduced fuel  expenses by 28% using proven efficiency strategies, advanced fleet management technology, and driver  optimization  programs -...

Driver Retention Crisis: Best Practices from Top Performing Fleets

How Premier Transportation  transformed from 89% annual driver turnover to industry-leading 31% retention rate, saving $8.4M annually  through comprehensive  workforce...

Implementing Telematics: DEF Logistics Case Study

How DEF Logistics revolutionized  their operations  with comprehensive telematics implementation, achieving 34% fuel savings,  28% productivity increase, and $5.2M annual ...

ABC Trucking's Electric Vehicle Transition: A Complete Case Study

Strategic electrification of ABC Trucking's 420-vehicle  fleet achieved 35% operational cost reduction, 100% emission elimination, and  18-month ROI  through  systematic...

How XYZ Company Reduced Fleet Downtime by 30%: A Case Study

Strategic implementation of predictive   maintenance  technology  and optimized processes transformed XYZ Company's operations, reducing fleet downtime by 30% and saving $2.8...

Digital Twin of an Automotive Brake Pad for Predictive Maintenance

How FleetDynamics  Corporation revolutionized brake maintenance using advanced digital twin modeling, reducing replacement costs by 40% and preventing 87%  of brake-related failures...

Multidimensional Digital Twin for Constant Velocity Joint Lifecycle

How Continental  Fleet Solutions  revolutionized  CV joint maintenance using advanced 0D-1D-3D digital twin modeling, reducing transmission failures by 85%  and cutting...

Safety Innovations That Saved Lives

How Premier Logistics Corporation  revolutionized  fleet  safety using advanced driver assistance systems (ADAS), reducing accident rates by 56% and preventing 340 potential...

Digital Twin for Predictive Maintenance of Automotive Braking System

How a leading logistics fleet reduced brake-related incidents by 67% and cut maintenance costs by 50% using ThingWorx IoT platform and AI-driven digital twin technology

Advanced Health Forecasting: Predicting Disease Trends and Patient Risk with Ensemble RVM

How a major logistics company reduced maintenance costs by 42% and increased fleet uptime to 97.8% using advanced machine learning for predictive maintenance  

CNN Classifier for Real-time Multisensor Monitoring

A revolutionary approach integrating telematics and historical data to transform fleet maintenance scheduling through advanced deep learning. By continuously analyzing vehicle health signals, usage patterns,...

Merged-LSTM for Time-between-Failure Prediction

FleetTech Solutions revolutionized predictive maintenance for a major logistics company managing 5,000+ commercial vehicles across North America. By implementing a Merged-LSTM (Long Short-Term Memory) neural...

Combination of CAE and LSTM for RUL Prediction of Electric Valves

A groundbreaking case study demonstrating 94.7% accuracy in  predicting remaining useful life of critical fleet components through advanced deep learning...

A Hybrid Autoencoder and LSTM Model for Predicting Mechanical Failures and Remaining Usefu...

How a major logistics company reduced unplanned downtime by 73% and saved $4.2M annually using advanced deep learning for predictive maintenance  

Deep Symptoms-based Model for Fault Prediction

A major logistics company operating a fleet of 850 commercial vehicles implemented a revolutionary deep learning-based fault prediction system that transformed their maintenance operations. By...

Utilizing LSTM Networks for Real-Time Fatigue Life Estimation in Automotive Suspensions

Utilizing Long Short-Term Memory (LSTM) networks for real-time fatigue life estimation in automotive suspensions offers a powerful approach to predicting component lifespan under varying...

LSTM and Random Survival Forest for Lead-acid Battery Prognosis

Lead-acid batteries serve as the critical foundation for vehicle electrical systems, powering engine starting, heating, cooling, and essential safety systems across commercial fleets. As...

C4.5 Decision Tree for Axle Box Bearing Fault Classification

The electrification of commercial trucking represents one of the most significant shifts in transportation since the advent of the internal combustion engine. As American companies deployed more than 15,000...

Combination of ANN and k-NN for Vehicle Health Prediction

The electrification of commercial trucking represents one of the most significant shifts in transportation since the advent of the internal combustion engine. As American companies deployed more than 15,000...

k-NN for Vibration Severity Classification in Electrical Motors

Electrical motors are critical components in industrial fleets, from manufacturing equipment to HVAC systems. Unexpected motor failures can result in costly downtime, safety hazards, and cascade failures...

SVM for Fault Detection in Autonomous Vehicle Sensor Systems

Advanced Support Vector Machine algorithms achieve 95.8% accuracy in detecting sensor faults across autonomous vehicle systems, reducing  safety incidents by 82% and preventing...

SVM for Fault Diagnosis in Vehicle Suspension Systems

How AutoFleet Solutions achieved 96% accuracy  in  suspension fault diagnosis using SVM algorithms, reducing diagnostic time by 85% and cutting maintenance costs by $2.8M annually...

ANN Architecture for Vehicle Powertrain Failure Prediction

Revolutionary Artificial Neural Network architecture achieves 93% accuracy in powertrain failure prediction using 75% less data, reducing  maintenance planning complexity by 60% while...

Comparison of LR and ANN for Diesel Engine Performance

How FleetMax Corporation achieved 94% accuracy  in diesel engine performance prediction using ANN models, reducing fuel consumption by  18% and cutting emissions by 32% while...

Gaussian Process Regression for RUL Prediction of Slow Speed Bearings

Advanced Gaussian Process Regression  models achieve  96% accuracy in predicting Remaining Useful Life (RUL) of slow speed bearings, reducing maintenance costs by 52% and extending...

Autoregression and Aggregation for Vehicle Failure Prediction

How MegaTrans Logistics reduced vehicle  breakdowns by 78% and cut maintenance costs by $4.2M annually using advanced machine learning  autoregression models and predictive...

MLR-based Spring Durability Models

Advanced Multiple Linear Regression models predict coil spring  fatigue life with 94% accuracy using real-time vibration analysis, reducing suspension  maintenance costs by 45% and...

Multiple Linear Regression for Energy Intensity

In early 2024, Continental Auto Fleet Services (CAFS), a mid-sized logistics company operating across the Midwest with a fleet of 230 vehicles, faced mounting challenges with unpredictable energy costs and...

Granger Causality for Fault Detection in In-Vehicle Networks

Modern fleet vehicles have evolved into complex networks of interconnected electronic systems, with dozens of ECUs (Electronic Control Units) and hundreds of sensors communicating over specialized digital...

Statistical Parameters for Spur Gear Fault Severity

Fleet vehicles operate under demanding conditions where drivetrain reliability directly impacts operational efficiency and profitability. Among the most critical drivetrain components are spur gears, which...

Fault Diagnosis of Lithium-ion Battery Connections

Electric vehicles represent the future of transportation, but their battery systems introduce complex maintenance challenges that traditional vehicle service approaches cannot adequately address. This case study...

Statistical Analysis for Battery Fault Diagnosis

Electric vehicles represent the future of transportation, but their battery systems introduce complex maintenance challenges that traditional vehicle service approaches cannot adequately address. This case study...

Neural Network and Fuzzy Logic for EV Fault Diagnosis

The landscape of commercial truck maintenance has undergone a dramatic transformation over the past decade. Gone are the days when mechanics could rely solely on experience, intuition, and basic tools to...

Preventing Fleet Downtime: A Case Study in Vibration-Based Predictive Maintenance

Every unplanned vehicle breakdown costs fleet operators thousands in direct repair expenses, lost productivity, and damaged customer relationships. Traditional maintenance approaches rely on fixed schedules or...

Physics-based Model for RHEvo Tool

In today's competitive logistics and transportation industry, vehicle downtime can mean the difference between profit and loss. The RHEvo Tool represents a breakthrough in predictive maintenance technology,...

How a 500-Truck Fleet Reduced DOT Violations by 87% Through Digital Pre-Trip Inspections

Nationwide Logistics Solutions, Inc., a leading company in the transportation and logistics industry, manages a large fleet of 500 trucks across the United States. The company faced significant challenges with...

Revolutionizing Fleet Efficiency with Fleetrabbit

In today's fast-paced logistics and transportation industry, fleet efficiency is paramount to maintaining a competitive edge. This case study examines how TranspoTech, a mid-sized logistics company,...

From Challenges to Champions: SMT's Fleet Transformation with Advanced Inspection Technolo...

In the dynamic world of construction, infrastructure, and engineering, efficient fleet management is crucial for operational success. SMT, a leader in machinery and truck services, faced challenges in...

Enhancing Fleet Management: VTC Optimizes Inspections and Compliance with FleetRabbit App

In today's fast-paced transportation industry, fleet management has become increasingly complex. Companies must balance operational efficiency, regulatory compliance, and vehicle maintenance while striving to...

Streamlining DVIR/DOT Compliance: STU Trucking's Journey with Fleet Rabbit

In the heavily regulated trucking industry, maintaining compliance with Department of Transportation (DOT) regulations and Driver Vehicle Inspection Reports (DVIR) can be a complex and time-consuming task. STU...

Real-Time GPS and Fuel Monitoring: How PQR Logistics Optimized Fleet Management with Fleet...

PQR Logistics is a leading transportation and logistics company, specializing in providing efficient, reliable, and cost-effective freight and cargo services across North America. With a diverse fleet of over...

Cutting Costs and Increasing Efficiency: MNO Transport's Success with Fleet Rabbit

In the competitive field of transportation, managing costs while enhancing operational efficiency stands as a primary challenge for logistics companies. MNO Transport, a prominent regional transporter, struggled...

Enhancing Driver Monitoring and Safety: Fleet Rabbit's Impact on JKL Logistics

The logistics and transportation sector demands high standards for safety and efficiency. At JKL Logistics, escalating incident rates and compliance issues were significantly impacting their operational costs...

Fuel Savings and Maintenance Management: Fleet Rabbit in Action at GHI Trucking

In the logistics and transportation industry, controlling operational costs is paramount, particularly concerning fuel consumption and vehicle maintenance—two major expense categories. GHI Trucking, a...

Seamless Integration and Compliance: DEF Logistics Boosts Operations with Fleet Rabbit

In the competitive and regulation-heavy world of logistics, maintaining operational efficiency while ensuring full compliance can be daunting. DEF Logistics, a prominent player in the logistics industry, faced...

Transforming Fleet Efficiency: How Fleet Rabbit Streamlined Logistics for ABC Transport

In the fast-paced world of transportation and logistics, efficiency and precision are paramount. ABC Transport, a leading logistics provider, faced significant challenges in managing their extensive fleet...

Tundra Transport: Enhancing Fleet Management with Geotab & Fleet Rabbit Integration

Achieve Total Fleet Visibility and Accountability

Improve real-time tracking and vehicle status monitoring

Enhance driver safety and performance management

Optimize route...

Northwest Repossession: Solving DOT Compliance Challenges with Fleet Rabbit

Northwest Repossession (NWR), a subsidiary of a multi-faceted company based in Northern Illinois, specializes in repossession services, transportation, and general towing. With over 40 years of experience, NWR...

Enhancing Fleet Operations: How Isanku Achieved Total Visibility and Accountability with F...

Isanku is a leading logistics company in Southeast Asia, operating a fleet of 500 vehicles across multiple countries. With annual revenues of $150 million, Isanku specializes in last-mile delivery services for...