The Scenario
You are a compliance officer at a trucking company. The DOT audit is next Friday. You need GPS tracking history for 10 specific vehicles over the past week, one row per tracking event, exported into a Google Sheet. Device IDs are in column A of your audit workbook. The date range is in cells C1 and C2.
The auditors want timestamp, latitude, longitude, and speed for every recorded position event. That is potentially thousands of rows per vehicle. You need them in the sheet before your Monday prep call with legal.
The bad version of this:
- You log into Route4Me's tracking interface and try to export history for each device one at a time
- Route4Me's export gives you a CSV per device, each with a slightly different column format
- You combine ten CSVs into one sheet, fix the column inconsistencies, and realize the timestamps are in different time zones
- You convert all the timestamps by hand
- It is Sunday night and you are still reconciling the last two CSVs.
The fast version is one prompt on Friday afternoon.
The Easy Way: One Prompt in SheetXAI
SheetXAI reads your device ID list, pulls the tracking history for each one from Route4Me over the date range in your cells, and writes every event as a row in your sheet.
Open the SheetXAI sidebar and type:
Export Route4Me tracking history for the device IDs in my Google Sheet column A for the date range in cells C1:C2, and write every event as a row with timestamp, lat, lng, and speed.
SheetXAI reads the device IDs from column A, reads the date range from C1:C2, pulls tracking history from Route4Me's GPS endpoint for each device, and writes every event as a row. One sheet. Consistent columns. No CSV reconciliation.
What You Get
A flat tracking history table with one row per GPS event:
- device_id — the Route4Me device identifier
- timestamp — UTC timestamp of the position event
- lat — latitude at the time of the event
- lng — longitude at the time of the event
- speed — speed in km/h at the time of the event
The data is audit-ready out of the box. All events for all ten devices are in one flat table with consistent column formatting and a single time zone. The auditors can sort by device_id, filter by time range, or hand the sheet directly to legal.
Need the data split into one tab per device? Add it to the same prompt.
What If the Data Is Not Quite Ready
DOT compliance export requirements sometimes have specific formatting rules. SheetXAI handles them in the same prompt.
When the timestamp needs to be in local time instead of UTC
The DOT auditors want local Central Time, not UTC.
Export Route4Me tracking history for the device IDs in column A for the date range in cells C1:C2. Convert all timestamps from UTC to Central Time before writing them to the sheet. Write every event as a row with timestamp_ct, lat, lng, and speed.
When you need to filter out events where the vehicle was stationary
The auditors only want events where the vehicle was actively moving, defined as speed above 5 km/h.
Export Route4Me tracking history for the device IDs in column A for the date range in cells C1:C2. Exclude any event where speed is below 5 km/h. Write the remaining events as rows with timestamp, lat, lng, and speed.
When you need a mileage summary per vehicle alongside the raw event data
The audit also requires total miles driven per vehicle for the week.
Export Route4Me tracking history for the device IDs in column A for the date range in cells C1:C2. Write all events as rows in a sheet called Tracking Events. In a second sheet called Mileage Summary, write one row per device_id with total distance driven during the period in miles.
When you need the full compliance package in one shot: raw events, mileage summary, and flagged anomalies
The audit requires raw tracking data, a per-vehicle mileage summary, and a list of any vehicles that had a gap in GPS pings longer than 30 minutes during operating hours.
Export Route4Me tracking history for the device IDs in column A for the date range in cells C1:C2. Write all events to a Tracking Events tab with device_id, timestamp, lat, lng, and speed. Create a Mileage Summary tab with total distance per device in miles. Create a GPS Gaps tab listing any device that had a gap between consecutive pings longer than 30 minutes between 6 AM and 8 PM, with the device_id, gap start time, and gap end time.
The pattern: instead of exporting CSVs, combining them, and building the summary separately, you describe the full compliance package in one prompt.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet with vehicle device IDs, then ask it to pull Route4Me tracking history for a date range. The Route4Me integration is included in every SheetXAI plan. For driver location snapshots, see how to snapshot driver GPS positions for a compliance audit or the Route4Me in Google Sheets overview.