The Scenario
You are a field service manager. The dispatch matching run is every Monday at 9 AM. You have an Excel workbook with 500 GPS coordinate pairs on the Field Logs tab from technician check-ins logged via mobile app this week.
The dispatch system matches visits to customer accounts by postal address. Every Monday, someone spends the morning converting coordinate pairs to addresses before the matching job runs.
The slow version of last Monday:
- Open Google Maps 500 times
- Drop a pin on each coordinate pair
- Read the address from the map UI
- Type it into the workbook
- Finish at 10:40 AM, 95 minutes after the matching job was supposed to start.
The fast version is one prompt before 8 AM.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook that reads the latitude and longitude columns on the Field Logs tab, calls DaData's reverse-geocoding endpoint for every row, and writes the nearest Russian postal address back.
Open the SheetXAI sidebar and type:
For each row in the Field Logs tab with the latitude in column A and the longitude in column B, use DaData to find the nearest Russian address. Write the full address into column C and the postal code into column D. If DaData cannot resolve the coordinates, write "NO MATCH" in column C.
SheetXAI reads the coordinate columns, calls DaData's geolocate endpoint for each row, and writes two columns of address data back. All 500 check-in locations resolved before the dispatch job runs.
What You Get
Two new columns on the Field Logs tab:
- Column C — full standardized Russian postal address nearest to the GPS point
- Column D — postal code for the matched address
"NO MATCH" rows are explicit so coordinates in unpopulated areas are flagged rather than left blank.
What If the Data Is Not Quite Ready
GPS data from field apps has its own mess. SheetXAI handles it in the same prompt.
When coordinates are stored as a single combined string
The mobile app exported latitude and longitude joined with a comma into one cell in column A.
For each row in the Field Logs tab, parse column A to extract the latitude (before the comma) and longitude (after the comma). Use DaData to reverse-geocode each pair and write the full address into column B and the postal code into column C.
When you need parsed address components, not just the full string
The dispatch system needs city and street in separate fields.
For each coordinate pair (latitude in column A, longitude in column B) in the Field Logs tab, use DaData to reverse-geocode and write the city into column C, the street into column D, the house number into column E, and the postal code into column F.
When some coordinates are outside Russia
A few check-ins happened at border locations in Kazakhstan or Belarus.
For each coordinate pair in the Field Logs tab, attempt DaData reverse-geocoding. If DaData resolves to a Russian address, write the full address into column C. If no Russian address is found, write "OUT OF RANGE — CHECK MANUALLY" into column C.
When you need the addresses plus a visit distribution report for the operations director
The director wants which cities saw the most technician visits this week before the dispatch run.
For each coordinate pair (lat in column A, lng in column B) in the Field Logs tab, use DaData to reverse-geocode and write the full address into column C and the city into column D. Then create a new sheet called "Visit Distribution" with: total check-ins, top ten cities by visit count, and the number of coordinates that returned NO MATCH.
The pattern: the geocoding and the territory analysis come from the same prompt.
Try It
Get the 7-day free trial of SheetXAI and open any Excel workbook with GPS coordinates from field data, then ask it to resolve them to Russian addresses using DaData. The DaData integration is included in every SheetXAI plan. For related workflows, see how to standardize and geocode Russian addresses in Excel or the DaData in Excel overview.