As fleet orchestration becomes increasingly complex, FMCs are challenged with meeting evolving client expectations and demands. Modern fleet management implements AI-powered orchestration platforms to streamline operations at every stage and phase of the vehicle lifecycle. End-to-end visibility and real-time asset data empower FMCs to significantly improve asset utilization, minimize downtime, and multiply ROI.
The Necessity of AI in Fleet Management
AI-driven fleet orchestration is the “now” of fleet management. Fleet orchestration tools empower managers and their teams with the high-level, end-to-end visibility required for agility, accuracy, and quality client service.
In fleet management, data becomes outdated and inaccurate virtually as soon as it’s collected. Traditional optimization methods operate with stagnant fleet and asset data that can significantly hinder—if not damage—fleet management excellence. AI presents viable, data-centered solutions to fleet management optimization. Through predictive analytics, automation, and real-time data visibility, AI-powered fleet orchestration modernizes fleet management, optimizing fleet deployment and streamlining operations and ROI.
Key AI-Powered Optimization Algorithms
Modern fleet orchestration tools implement AI throughout the platform to optimize how you run your fleets. Below are the key AI-powered optimization algorithms that enhance fleet orchestration and management.
Routing Optimization
Route planning is crucial in fleet management, especially in last-mile efforts, when disruptions—and literal and metaphorical roadblocks—affect delivery. AI-powered orchestration tools empower dynamic route optimization, which helps managers plan the most cost, fuel, and time-efficient delivery pathways at a moment’s notice. When disruptions like traffic, accidents, weather, or roadwork affect delivery routes, fleet orchestration tools provide alternative mapping that helps FMCs maintain on-time delivery without increasing costs.
Predictive Maintenance
Staying on top of vehicle maintenance is essential to ensure assets are operational for optimized fleet deployment. AI-powered vehicle telematics detect and track wear and tear, predicting potential failure and facilitating a predictive maintenance plan to stop issues before they ever occur.
Instead of following a predetermined maintenance plan that doesn’t account for each asset’s unique usage, predictive maintenance facilitates custom vehicle maintenance that optimizes asset use, keeping fleet vehicles on the road longer.
AI-powered predictive maintenance helps FMCs save exponentially on vehicle repair and premature replacement, but it also addresses the looming issue of unplanned downtime. Vehicle breakdowns halt service and significantly impede delivery. Managers must secure replacement vehicles, update clients with delivery changes, and do countless other tasks that result from unscheduled downtime. When fleet vehicles are proactively maintained, there are fewer surprise repairs and breakdowns, unplanned downtime becomes virtually a non-issue. Predictive maintenance reduces the stress and chaos of vehicle breakdowns, returning time and money to FMCs.
Dynamic Scheduling
Fleet management comprises dozens of moving parts, many of which relate to driver, vehicle, and delivery scheduling. The best fleet orchestration platforms utilize AI for dynamic scheduling that updates as needed while also sending alerts and updates to affected elements of fleet management. For example, if a driver calls in sick, a platform powered by AI can alert managers, identify available driver replacements, and schedule them for that route or delivery so service isn’t compromised. Instead of manual step-by-step scheduling, replacement, and cumbersome communication, AI tools automatically handle these tasks simultaneously, saving time and money and ensuring schedules are accurate and complete.
Real-Time Asset Tracking
Real-time data makes modern, efficient, high-level fleet management possible. AI-powered fleet orchestration platforms operate with real-time asset and fleet data, giving managers accurate, up-to-date vehicle information that guides decision-making.
The right orchestration platform tracks, organizes, and analyzes key vehicle metrics that impact fleet management, including
- Vehicle Location
- Speed
- Fuel consumption
- Maintenance alerts
- Undesirable driver behavior (like harsh braking or speeding)
Instant access to continuously updated asset data and location empowers
- Improved ETA accuracy
- Rapid response to disruptions
- Enhanced driver accountability and safety
- Streamlined operations at every stage
With this data, fleet managers can ensure efficiency and cost savings throughout the vehicle lifecycle, yielding significant ROI that positions FMCs for growth. Implementing fleet orchestration tools with end-to-end visibility helps managers surface valuable insights, identifying weaknesses and patterns that hinder efficiency and waste resources. Maximizing fleet assets starts with AI-powered fleet orchestration.
Optimize Fleet Management with the AI-Powered Ridecell Platform
Implementing AI into fleet orchestration is non-negotiable for today’s FMCs. Fleet management moves too quickly for FMCs to maintain a stagnant, outdated approach to orchestration and analysis.
The Ridecell platform puts AI to work to onboard data, continuously surface insights, and uncover blind spots across your entire fleet business to
- Predict Operational Issues – Increase vehicle lifetime revenue and eliminate costs with AI-generated insights for supplier management, vehicle visibility, and keep/sell decisions.
- Prioritize Recommended Actions – Reduce idle days and increase staff productivity and customer satisfaction with prioritized actions and automated workflows.
- Automate Solution Onboarding – AI-based process mapping, contract ingestion, and data interpretation for an efficient, automated onboarding experience.
Ridecell 360 incorporates advanced AI to analyze your contracts and systems and automatically create a custom process map for a specific department or across the vehicle lifecycle, including
- Vehicle Ordering
- CRM
- Contract Management/ERP/Accounting
- Logistics/Storage/Telematic
- Maintenance/Collision/Repair
- Remarketing
Real-time data translates to insights and actions that empower real-time workflows, increasing agility, efficiency, and ROI across your organization.
Conclusion
AI is still an emerging technology, but its application in fleet orchestration has completely transformed how we approach fleet management. AI-powered fleet orchestration delivers the “smarter, better, faster” elements that FMCs and their clients want in asset utilization, operations, and ROI.
It’s time to modernize fleet management. The Ridecell platform harnesses the power of AI for real-time intelligence that delivers actionable insights, automating tasks throughout the vehicle lifecycle for efficiency and superior client experiences. Contact our team today for a demo and to learn more.