Best AI GPS Tracking Software for Business

GPS Tracking has been done traditionally by creating a digital breadcrumb trail of all vehicle movements. Traditional GPS tracking has continuously monitored a vehicle's location using uplinked hardware that provides the coordinates of a vehicle at fixed intervals. This allows for basic accountability of where each vehicle is currently located and where it has traveled in the past 24 hours. Although an AI applicant tracking system is very useful for accountability purposes, it is primarily reactive, for example, only after the fact. A fleet manager must monitor the computer display constantly to help identify why a driver may be late, running the wrong route, or burning unnecessary fuel.

AI GPS tracking (that is designed to use artificial intelligence algorithms) does not use the same reactive processes that traditional GPS tracking relies on. Instead of simply determining where a vehicle is located at a specific point in time, AI GPS tracking uses machine learning data to continually compare present-day coordinates with historical traffic patterns, as well as live information related to traffic and the condition of each vehicle. AI GPS tracking can identify anomalies in the data that would indicate a forthcoming traffic problem, allowing the software to automatically generate a more efficient route prior to the driver arriving at the traffic impediment.

The primary difference between traditional GPS tracking and AI GPS tracking is the level of automation in decision-making capabilities. Traditional GPS tracking requires the fleet manager or other human resources to intervene whenever they identify an inefficiently driven vehicle to correct its operation. The AI GPS tracking platform serves as an electronic co-pilot by continuously monitoring driving patterns of all drivers, providing alerts based on unsafe driving practices (such as hard braking or aggressively cornering) and preemptively predicting mechanical failures likely to occur before displaying a check engine light, handling complex dispatch schedules independently.

Running a fleet in America is like trying to survive a hurricane; everything is so bad: fuel prices are high, there's a shortage of drivers, and there are just so many other things impacting your bottom line. The traditional means of keeping track of your fleet just is not working anymore. With AI-based GPS tracking, businesses can find competitive advantages through the prevention of fuel waste and rising insurance rates. These two items make up the largest overhead for any company. By using real-time data for traffic, idling habits, and aerodynamics, the AI tracking will be able to create the best route (the human touch will not come close), which results in lower fuel usage and costs. Additionally, through the automatic tracking of driver behaviours like hard braking or speeding, the AI will be able to teach the driver how to avoid those behaviours and can help fleets reduce their CSA score. Reducing your CSA score can save you thousands of dollars in insurance.

Not only will AI tracking help save money, but as consumer demands and regulatory requirements evolve, AI tracking will more than likely become a requirement. The supply chain in America operates on deliveries that must be made on time, and results must include an exact estimated time of arrival (ETA) for consumers, similar to the way Amazon operates. AI GPS tracking will be able to assist you in meeting consumer expectations and will eliminate the burden of hours of service (HOS) compliance and preventive maintenance logging from your shoulders. A single significant breakdown could result in hundreds of thousands of dollars in lost revenue.

Tracking Location in Real Time and Instant Notifications

• Super Quick Refresh Levels: You want to seek out systems that offer ping rates of 10-30 seconds rather than every 2-5 minutes, so you will have true live locations.
• Immediate Alerts for Critical Exception Events: A platform should instantly send an alert through SMS/email to dispatchers of high-risk situations, e.g., fast battery drain, engine overheating, and/or use after hours without permission.

Proactive Route Planning

• Reroute on the fly using Dynamic Machine Learning Algorithms: The AI/machine learning needs to continually analyze live traffic for congestion, weather, and historical data, and will automatically send out when available faster/fuel-efficient routes while the driver is on the road.
• Dispatching Multiple Vehicles at Multiple Locations in Real Time: You want to choose a solution that can instantly generate the ideal delivery sequence and optimize total miles from the items being picked up/delivered at all drop points.

Driver Behavior Analysis

• AI Video Camera That Supports Driver Safety: You want to look for a solution that provides dual-facing cameras that utilize Edge AI to monitor driver behavior, e.g., distracted driving, cellphone use, too tired, and not using a seatbelt.
• Intelligent Safety Score Reports for Drivers: You want to select a solution that provides intelligent driver profiles based on the driver's speed, fast braking, and risky turns; all of these scores are adjusted for severe weather or heavily congested areas.

Fuel and Maintenance Insights:

• Predictive diagnostics and anomaly: Detection are performed by pulling the engine fault codes from the AI vehicle tracking system and using artificial intelligence to provide insight about impending mechanical failures (i.e., failing alternator, battery, etc.) before the check engine light goes on. Theft and idle analytics must include automated tracking of excessive idling and alerts that indicate a sudden, unaccountable drop in fuel level as indicators of theft.

1. Azuga Fleet

Azuga aims to enhance driver safety using a gamified strategy to monitor drivers' day-to-day activity while also giving fleet managers the ability to reward safe drivers through gift cards. The plug-and-play OBD hardware can be installed in seconds, allowing managers to receive real-time images of the location along with diagnostic data through a simple-to-use desktop dashboard. The platform also contains an AI-based integrated feature, "SafetyCam," which is designed to coach drivers in real-time in the cab to improve unsafe driving behaviors (for example, use of mobile devices while driving or falling asleep). Additionally, the system offers behavioral videos tailored to each driver that will identify operational weaknesses and develop long-term safety for drivers. By allowing companies to consolidate asset tracking, custom geofencing, and basic dispatch operations into one system, Azuga removes the need for small businesses to maintain separate spreadsheets for different functions. The company has helped several American field service fleets reduce their insurance by automating and quantifying risk for each driver, ultimately lowering premiums for its customers.

2. Samsara

Samsara is one of the largest enterprise-level providers of an IoT platform that captures trillions of unique pieces of operation-based physical data in the United States. Their software provides true second-by-second GPS tracking of each vehicle or asset to support dispatchers' efforts and know exactly where vehicles and/or assets are at all times without delay (for example, delays caused by GPS lag).

3. Verizon Connect

Drawing on the vast infrastructure of Verizon, a major player in the telecommunications industry, Verizon Connect provides superior network reliability, cellular hardware durability, and comprehensive coverage along rural trucking routes in the USA. The platform excels at high-volume dispatching, allowing dispatchers to schedule trips for dozens of trucks with multiple stops simultaneously. The platform’s algorithmic Reveal Dashboard cleanly displays fleet performance metrics, operational metrics and cost summaries in a single view. The platform’s AI capability focuses heavily on minimizing excessive idle time, tracking usage of vehicles, and proactively identifying fuel usage anomalies to prevent unauthorized vehicle usage and theft. The software provides historical route overlays that enable back-office support teams to easily audit trips and verify deliveries made to customers. It is a stable, dependable ELD tracking solution providing robust asset protection for the mixed-use commercial vehicle fleet market. 

4. Motive (previously KeepTruckin) 

Motive, formerly known as KeepTruckin, originally dominated the compliant vehicle market in the US, but has since become a complete fleet management system that is focused on AI capabilities. Their advanced AI camera uses more than thirty different machine learning algorithms at once to capture complex driving patterns (lane drift, tailgating, and stops).

5. Housecall Pro

Housecall Pro is a unique software solution for local trade businesses such as plumbers, electricians, roofers, and HVAC professionals. It has a different focus than larger logistics companies in that it is a Local Business Tool rather than a stand-alone, telematics system. GPS trackings integrated into Housecall Pro as part of the Business Management System means that instead of having separate tracking systems from other parts of the system (like in larger logistics companies), it links your vehicle's live location to an active job profile within seconds and sends an automated On My Way text message (which includes a live map tracking where your technician will be in relation to you) to the homeowner on his/her the way. The software allows you to automatically match an incoming emergency service request to the nearest available technician based on their actual location, allowing dispatchers to save hours by eliminating unnecessary phone calls and fuel.

1. Robust Cybersecurity Architecture

Encryption on Military Equipment Data at rest is protected from being intercepted by using AES-256 encryption, and in transit using TLS 1.2 or higher. In addition to encryption, each of the leading providers employs the use of asymmetric cryptographic digital signatures for all plug-and-play on-board diagnostic (OBD) devices or hardwired gateways to assure that only commands that have been pre-approved for safe execution may be executed on the vehicle, thus preventing any unauthorized remote access by bad actors who may attempt to load malicious code onto your vehicle or modify the engine's diagnostic data.

Reputable platforms use third-party independent auditors to help assure a high level of confidence in the platform's data security and system availability by maintaining SOC 2 Type II and ISO 27001 certifications with regard to their data security, system availability, and confidentiality controls over an extended time frame.

2. Department of Transportation (DOT) & FMCSA Compliance

Registered ELD. This is an interstate truck transportation software designed to be used as an electronic logging device, which needs to be fully self-certified to the Federal Motor Carrier Safety Administration and registered by the FMCSA. Logged hours of service directly from the engine means that no manual logging errors or falsified paper logs will be used.

Audit Readiness Roadside Inspection Protection. The software has special modes for roadside inspections. When a police officer pulls over a driver using the mobile app, any non-required sensitive fleet analytics will not display, and only the last 7 days of hours of service will display in order to protect your privacy as an operational company from DOT audits.

Digital DVIR Processing. To comply with daily safety requirements, drivers submit daily driver vehicle inspection quarterly reports  (DVIR) in digital format. If there is a major safety defect logged on the DVIR, it is flagged immediately for maintenance in order to create a digital, legally compliant record for federal auditors.

Adding new platoons or trailers to your fleet of vehicles is a breeze with plug-and-play hardware augmentation. Simply order additional preconfigured OBD-II devices/assets when you add new assets, plug them into your fleet, and AI will recognize them and integrate them into your main dashboard in a matter of minutes.

1. Elastic Cloud Infrastructure: Your software is hosted on enterprise-grade cloud networks (AWS, Microsoft Azure, etc.), so it can easily handle tremendous amounts of data. Whether you have five or 5,000 vehicles being tracked in real time, the system will automatically scale its computing capacity in order to process real-time data, AI video processing/live stream, and predictive route analysis without any slowdown.
2. Tiered Feature Activation: Only pay for what you need today and be able to utilize more advanced features later. You can build up from basic location tracking or geofencing to more advanced features (predictive maintenance analysis/video telematics, IFTA automation) as your business grows and operational complexity increases.
3. Granular Multi-Fleet Organization: When your business expands into new cities/states, the application will allow you to segment assets into separate sub-fleets with different regional dispatchers, geofences, and user access rights, while your corporate headquarters has the ability to retain a macro view of your assets at the street level.

1.  Decreased Fuel and Idling Costs: To determine monthly fuel spending, baseline miles driven per job, and average engine idling time each day. Route optimization through AI technology has reduced overall mileage by about 10% – 15% through smarter routes across real-time traffic congestion. In addition to that, AI tracking helps to identify unnecessary engine idling. Since approximately 7% of a vehicle's fuel is wasted when it is idling without being used to perform its vehicle mission (productive), the reduction in non-productive idling will decrease the cost of fuel incurred by your operation, as well.
2.  Lower Insurance Premiums and Accidents: To determine (1) annual insurance premiums paid, (2) out-of-pocket collision repair costs, and (3) the total number of insurance claims submitted for your operation. Using edge-AI dashcams to monitor and coach drivers to avoid high-risk driving behaviors (such as tailgating, rolling stops, and using phones) has resulted in reductions in high-risk driving behavior by 90%. By reducing the risk of high-risk driving behavior and providing proof to your insurance company of reduced driving behavior risk, you can expect to save as much as 30% on the insurance premiums you pay. This is what saves tens of thousands of dollars by exonerating your drivers against false claims from third parties using HD video evidence.
3.  Minimized Vehicle Downtime and Maintenance Costs: To determine (1) the number of unplanned days vehicles are in the shop, (2) the number of emergency towing expenses incurred, and (3) regular part/labor costs. The average daily cost of a commercial vehicle being down is $700 to $1,100 in lost revenue for an operation.

AI GPS tracking software is moving away from just helping you find your vehicles and focusing instead on hidden operational efficiencies, fleet safety, and protecting your bottom line from unpredictable overhead costs. The best platforms will work as automated co-pilots, providing your company with real-time location data that provides you with a unique competitive advantage. Are you ready for this advancement? Go to softwareadviser.ai, a complete SaaS marketplace, for a simple search of top-rated tracking platforms, side-by-side comparison of detailed specifications, and secure ordering through the best choice in software for your fleet operation.