Mindshift Analytics
Glimpse of System dashboards and reports
Here are the key reports available on Mindshift’s fuel & fleet management portal, along with their use cases and benefits explained in brief. This comprehensive guide will walk you through each report, explaining how they contribute to optimizing fleet and fuel management strategies for construction sites. From real-time fuel inventory tracking to fleet performance analysis, these reports are designed to provide actionable insights and enhance operational efficiency.
1. Summary Statistics
These colour-coded boxed dashboard updates every 15 minutes giving updated machine statistics for the current date. The colours instantly allow us to identify abnormal readings as compared to the mean of a period of the last 7 rolling days.
2. Vehicle Status Table
(available in Module A)
This real-time table, updated every 2 minutes, offers a quick search and sorting capability based on fleet type, site name, location, machinery condition, and fuel percentage, among others. It displays the current status of each vehicle, including movement or stationary state, ignition status, and fuel balance. Additionally, the table shows the landmarks where each vehicle is located. This feature is particularly useful for grouping vehicles at a landmark, allowing for real-time observation of site activity intensity from the control room. It also aids in identifying machinery that is low on fuel or not in motion, enabling prompt and efficient management decisions.
3. GeoMap
(available in Module A)
This interactive Google map displays a selected group of vehicles in real-time, complete with labelled markers for easy identification. It serves as an invaluable tool for visually tracking operational clusters, identifying vehicles that are abnormally located, and observing various status indicators such as activity levels, ignition, movement, and fuel levels. This visual approach not only simplifies location tracking but also provides a comprehensive overview of fleet operations, aiding in efficient management and quick decision-making
4. Heatmap of Most frequent locations
(available in module A)
This heat map, overlaid on a Google map for a selected vehicle over a 2-hour period, effectively highlights movement and stoppage points, facilitating driver performance evaluation. The color coding, with red for locations where the most time is spent and green for the least, swiftly pinpoints excessive stoppages or idling. This tool is invaluable for identifying route bottlenecks and assessing driver efficiency, enabling management to take steps to minimize unnecessary vehicle idle time.
5. Tracing vehicle path
(available in module A)
This feature enables precise tracking of a vehicle’s path, allowing users to click on markers along the route to view detailed information such as fuel level and speed at each point. This functionality is particularly useful for investigating issues like suspected fuel pilferage or inefficient machinery usage. The ‘step by step’ trace feature allows users to meticulously follow the vehicle’s forward and backward journey at specific points of interest. Additionally, the ‘show all points’ option provides a comprehensive snapshot of the entire journey. The 2-hour window for this feature is strategically chosen to balance information density, ensuring the route trace is detailed yet uncluttered and easily readable.
6. Inventory Turnover report
(available in module B)
This fuel master reconciliation report meticulously tracks fuel levels in storage tanks, identifying the opening balance at specific timestamps, along with fuel received and issued. It computes the estimated closing level from RFID-enabled dispensing and decant or tanker unloading transactions and compares this against the actual fuel sensor readings taken around the closing time. Any discrepancies are clearly marked in a color-coded variance column, facilitating rapid anomaly detection and stock reconciliation. Additional interactive tools offer a deeper analysis of these variances. Proven to be highly effective, this report has uncovered numerous process violations, making it an essential tool for precise and accurate fuel management.
7. Daily Fuel Issued
(available in module B)
This collapsible report offers a daily summary of refuelling for all machinery, organized by fleet, with each fleet’s total fuel consumption displayed at the top. It can be conveniently downloaded in Excel, CSV, or PDF formats, facilitating easy sharing and integration with other systems. This report aids in efficient fleet fuel management and trend analysis, providing a user-friendly interface for focused or comprehensive data review.
8. Single equipment drill down
(available in Module A)
This report provides a summary performance analysis of a selected machinery or truck between a given date range. Headline statistics such as the fuel consumed, total distance travelled, percentage utilisation and fuel burn rate are available on top of the report. Secondary summary statistics like mean-time between refuelling, last refuelling volume and date are tabulated below.
Scrolling down the same report, users can see a very detailed table showing each “drive cycle” with fuel level transitions recorded by the fuel sensors with an increase in fuel level highlighted in red with a minus sign, a decrease in fuel level shown in green while fuel levels with no net difference are greyed out and represented with a 0. This data is extremely useful to analyse pilferage and unusual consumption. A powerful search window allows users to zero down on a specific point of interest.
The most powerful section of the drill down is the visual time series data rendered using data from fuel sensors. Our algorithms classify each drive cycle by the intensity of fuel use, eg. Orange and yellow are high fuel burn rate drive cycles. Careful annotations show fuel levels and cycle time at the top of each drive cycle. By clicking the “show Refuels only” check box, users can zero down on only refuelling information.
This report has been optimised for extremely large data ranges making it useful for a variety of use cases such as pilferage detection, refuelling validation etc.
9. Refuelling Audit (fuel sensor vs fuel dispenser heat-map)
(available in Module B)
Instead of manually checking hundreds of refuelling transactions, this report gives users a snapshot of anomalous refuels, so that they can focus swiftly on errant drivers who may have disconnected fuel sensors or on misplaced/damaged RFID tags. Red tiles show transactions missed by fuel dispensers, and yellow tiles show transactions missed by fuel sensors. Inside the tool, each refuelling transaction is compared against the fuel volume increase recorded by the respective fuel sensor- all good transactions are green-lighted. Users can adjust the sensitivity threshold based on road conditions and tank volumes involved.
10. Fuel station Audit (flowmeter vs ATG)
(available in Module B)
This report audits the difference between the fuel flow measured by the decanting / Top loading flowmeter and the fuel level change detected by the Automatic Tank Gauging (ATG) system. Colour-coded heat maps help spot transactions with large differences between fuel sensor level change and flow meter values. Root cause analysis is made extremely easy with embedded tables and synchronised time series graphs below.
11. Manual entry module for Mastercard refuel regularisation
(available in Module B)
Transactions using RFID Master cards to refuel guest/contractor vehicles need to be tagged to specific vehicles promptly. Failure to manually tag these transactions often results in reconciliation gaps and unaccounted refuelling. This module provides an automated workflow to tag all such transactions. Every manual entry is logged for audit purposes; no manipulation of quantity is permitted. Since the tool is updated in real-time (every 15 minutes) we have the click of a mouse availability of all fuel-issued data centrally without having to do any Excel work.
12. Sensor density heat map
The IOT data health report, shows the hourly fuel level sensor data quality. All vehicles fitted with fuel level sensors can be viewed for a selected time range. More observations are indicative of rich data density and are represented using darker shades of green while less data-dense periods are represented using lighter shades. This report helps the mechanical team identify disconnected sensors, bad SIM cards or machinery in poor network coverage areas.
13. Vehicle utilisation and idling analysis
(available in module A)
This analytics dashboard features a stacked bar trend report that displays the daily percentage of time a selected vehicle’s ignition is on, distinguishing between periods with and without movement. Directly beneath it is a second stacked bar aggregating the same data for the entire fleet, allowing for a comparative analysis. This layout is instrumental in identifying potential issues with an individual vehicle by comparing it against the fleet’s overall benchmark.
14. Live fuel stock tracking
(available in Module B)
The dashboard, which refreshes every 10 minutes, provides store managers with real-time updates on the fuel level inventory for each stationary tank and diesel bowser at every site. This template is helpful to get an overview of the total current inventory, and helps us in determining urgent fuel requirements or potential redirection of fuel to other tanks. Additionally, the final column displays sparklines that represent the tank levels over the past hour, offering a quick trend view of all tanks and indicating whether they are being refueled or consumed as of now.
