- 24/7
- Fleet data collection
- Anomalies
- Surfaced for review
- Patterns
- Across fuel, speed and use
- Reports
- Management-ready output
Give me today's fleet analysis in short
Today's fleet analysis
127 assets
- Running2116.5%
- Idle43.1%
- Stopped5543.3%
- Inactive3628.3%
- No data118.7%
80.3% stopped, inactive or not reporting.
4 fuel drainsOne vehicle lost 78.64 L across 2 events. Verify against the route.
The analysis layer
What goes in, and what comes out
Trips, fuel, driver events and video go in. Patterns, anomalies and the handful of exceptions worth a manager's time come out.
Fleet data
Trips · fuel · driver · video
AI Analysis
Patterns · anomalies · outliers
Findings
Fuel, driver and utilization
Decisions
What management should act on
Intelligent Fleet Management
From fleet monitoring to fleet intelligence
KASSA's AI-supported fleet-management concept adds an intelligent analysis layer to conventional fleet monitoring.
The system can analyze fleet data to identify patterns and exceptions that may deserve management attention.
Examples include unusually high fuel consumption, repeated speeding, excessive idling, unusual vehicle utilization, maintenance-related patterns and operational anomalies.
AI-supported analysis can help management answer a more important question:
“What does the fleet data mean, and where should we take action?”
KASSA's vision is to develop fleet management from monitoring and reporting toward predictive and decision-support intelligence.
AI capabilities
An intelligent layer over your fleet data
AI-supported analysis can help transform large volumes of fleet information into insights that are easier for management to understand and act upon.
Turn Data Into Intelligence
AI-supported analysis can examine large volumes of fleet data and identify patterns that may be difficult to recognize through conventional reporting alone.
Identify What Needs Attention
Instead of requiring managers to review every event, intelligent analysis can help highlight unusual activity, recurring exceptions and potential risks.
Understand Fleet Trends
Analyze changes in fuel consumption, driving behavior, utilization, maintenance and other operational indicators over time.
Support Better Decisions
Convert fleet information into actionable insights that help management understand where attention, intervention or improvement may be required.
Capability status
What is available today, and what is in development
Enterprise credibility matters more to us than AI marketing, so we state plainly which capabilities are live in the platform and which are planned.
Available in the platform today
Natural-language fleet queries
Ask questions of your fleet data in plain language and receive a direct answer.
Vehicle utilization
Compare how intensively each vehicle is used so under-used and over-used assets are visible.
Fuel consumption analysis
Analyse consumption per vehicle, route and period against expected usage.
Fuel anomaly detection
Surface sudden fuel level drops and refuelling events that do not match normal operating patterns.
Driver behaviour analysis
Aggregate harsh driving and speed events into a comparable view of driver performance.
Overspeed analysis
Review speeding events with distance, duration and maximum speed reached.
Idling & trip analysis
Identify excessive idling, unproductive stops and trip patterns worth investigating.
Fleet performance reporting
Consolidate activity, distance, fuel and event data into management-ready reports.
Management dashboards
Operational dashboards that summarise fleet status and exceptions for decision makers.
In development · not yet available
Predictive maintenance recommendations
Service recommendations derived from usage, distance and engine-hour patterns.
Route optimization suggestions
Recommended route and scheduling changes based on historical trip data.
Operating cost forecasting
Forward-looking fuel and maintenance cost projections per vehicle and department.
If one of the planned capabilities is decisive for your fleet, tell us. Customer requirements shape what we build next, and we will be straight with you about timing.
Fuel consumption analysis
Actual usage against the expected range
- Actual consumption
- Expected range
- Flagged for review
Schematic illustration of the analysis method. Values are not customer data.
The fleet assistant
Ask your fleet from inside ChatGPT
Zio is a KASSA app for ChatGPT. Connect your account once, then ask about your own fleet in the app your managers already have open — no new login, no dashboard to learn, and read-only access throughout.
How the question reaches your fleet
ChatGPT
Where your managers already ask questions
Apps & plugins
ChatGPT's own way of reaching outside tools
Zio
The KASSA app that bridges ChatGPT and your fleet
KASSA platform
Your account, your permissions, your fleet
Fleet data
Vehicles · GPS · fuel · safety · video · sensors
ChatGPT
Where your managers already ask questions
Apps & plugins
ChatGPT's own way of reaching outside tools
Zio
The KASSA app that bridges ChatGPT and your fleet
KASSA platform
Your account, your permissions, your fleet
Fleet data
Vehicles · GPS · fuel · safety · video · sensors
- Install ZioAdd the app once inside ChatGPT, on the phone or the desktop app — nothing to deploy on your side.
- Connect your KASSA accountThe app signs in to the platform as you, so it sees exactly the fleet your account already sees, and nothing else.
- Mention @Zio and askIn any conversation, in plain language. The answer comes back in the chat, with a map or a dashboard where one helps.
Read-only. Zio retrieves fleet information and reports on it. It cannot dispatch a vehicle, change a setting or write anything back to the platform — so connecting it adds a way to ask questions, not a way to alter operations.
Fleet data Zio can read
Where the fleet is
- Live vehicle status
- Vehicle locations
- Inactive vehicles
How it moved
- Trip summaries
- Travel distance
- Stoppages
- Idling
- Route playback
What went wrong
- Overspeed events
- Fuel fill summaries
- Fuel drain summaries
What the sensors saw
- AC usage
- Digital-port sensors
- Temperature reports
The system itself
- System logs
- Product help documentation
Answers arrive as panels, not just paragraphs
Fleet map
Every vehicle plotted where it is now, inside the answer.
Playback map
A trip replayed along its route, without leaving the chat.
Report dashboard
The numbers as a panel — status splits, fuel, overspeed.
Documentation card
The answer from the product help, with its source.
In ChatGPT
What it looks like to actually use it
Three answers Zio returned in ChatGPT on a manager's phone — the fleet's current state, the day's analysis and the day's fuel report. Screenshots, not mockups.
Fleet status 
Fleet analysis 
Fuel report
Captured on a live fleet. The figures are that fleet's real numbers on the day; vehicle plates are masked.
Ask your fleet
One answer, on whatever you are holding
Ask a question in plain language and get the fleet's state back as a short management read — the same answer on a phone in the yard, a tablet in the workshop or a desktop in the office.
Same report for fuel, in short
Today's fuel report
- Vehicles analysed
- 89
- Fuel consumed
- 1,063.68 L
- Fuel fills
- 39
- Fuel drains
- 4
- ORO-03-•••••Top consumer274.19 L
- ORO-03-•••••Next highest82.56 L
- ORO-03-•••••Third highest66.10 L
Top 10 vehicles account for ~66% of total fuel.
ORO-03-••••• — 78.64 L drained across 2 events while travelling only 29.77 km.
Focus on the 4 drain vehicles and the highest consumers to verify fuel loss, sensor accuracy and operational reasons.
Give me today's fleet analysis in short
Today's fleet analysis
127 assets
- Running21(16.5%)Active and operating
- Idle4(3.1%)Watch unnecessary idling
- Stopped55(43.3%)Planned stops, or under-utilisation
- Inactive36(28.3%)Should these be operational
- No data11(8.7%)Check device communication
25 vehicles (19.7%) are running or idling. 102 (80.3%) are stopped, inactive or not reporting.
Give me today's fleet analysis in short
Today's fleet analysis
- Running2116.5%
- Idle43.1%
- Stopped5543.3%
- Inactive3628.3%
- No data118.7%
80.3% stopped, inactive or not reporting.
Illustrative output. Figures are drawn from real fleet reporting; vehicle plates are masked.
In practice
Answers where the work happens
The same assistant, wherever the question comes up — beside the vehicles or back at the office.
AI intelligence services
What KASSA can analyze
AI Fleet Analytics
- Fleet performance analysis
- Vehicle utilization patterns
- Operational trend analysis
- Performance comparisons
- Exception identification
- Fleet efficiency insights
- Management decision support
AI Fuel Intelligence
- Fuel consumption analysis
- Unusually high fuel consumption
- Fuel usage patterns
- Fuel efficiency trends
- Potential fuel anomalies
- Vehicle-to-vehicle comparison
- Fuel performance insights
AI Driver Behavior
- Repeated speeding patterns
- Excessive idling
- Harsh driving patterns
- Driver behavior trends
- Recurring safety events
- Driver performance analysis
- Safety improvement opportunities
AI Maintenance Intelligence
- Maintenance-related patterns
- Vehicle performance trends
- Recurring vehicle issues
- Maintenance risk indicators
- Service pattern analysis
- Vehicle reliability insights
- Potential maintenance priorities
AI Anomaly Detection
- Unusual fleet activity
- Unexpected vehicle utilization
- Operational anomalies
- Unusual fuel behavior
- Recurring exceptions
- Abnormal activity patterns
- Management attention alerts
AI Decision Support
- Fleet performance insights
- Priority identification
- Operational recommendations
- Risk identification
- Trend-based decision support
- Management reporting
- Action-oriented fleet intelligence
AI use cases
Find the patterns behind fleet performance
Fuel Performance
Identify vehicles or operating patterns associated with unusually high fuel consumption and help management investigate potential causes.
Driver & Speed Behavior
Analyze recurring speeding, idling and other driving patterns to identify opportunities for improved safety and operating efficiency.
Maintenance Patterns
Use historical fleet information to identify recurring maintenance patterns and potential indicators that may deserve attention.
How it works
From fleet data to actionable insight
Collect
Fleet systems generate information from vehicles, drivers, fuel, GPS tracking, safety events and operational activity.
Analyze
AI-supported analysis examines the data to identify trends, patterns, exceptions and relationships that may require attention.
Act
Management receives clearer insights into where intervention, investigation or operational improvement may be needed.
The future of fleet management is intelligent
Traditional fleet systems tell managers what happened. KASSA's AI-powered vision is to help them understand why it happened, what may happen next, and where action should be taken.
Smarter Fleet Operations
Turn your fleet data into better decisions
Discover how KASSA's AI-supported fleet intelligence can help your organization move from monitoring fleet activity to understanding and improving it.