The Scenario
You are a field service manager. The dispatch matching run is every Monday at 9 AM. You have a Google Sheet with 500 GPS coordinate pairs from technician check-ins logged over the past week via a mobile app.
The dispatch system matches visits to customer accounts by postal address. GPS coordinates are useless to it. Every week, someone on the team spends Monday morning converting the coordinate pairs to addresses manually — Google Maps, copy, paste, sheet, repeat — before the matching job can run.
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 sheet (copy-paste often garbles the Cyrillic)
- 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 spreadsheet that reads the latitude and longitude columns, calls DaData's reverse-geocoding endpoint for every row, and writes the nearest Russian postal address back into the sheet.
Open the SheetXAI sidebar and type:
For each row in my sheet 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 to an address, 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 to postal addresses before the dispatch job runs.
What You Get
Two new columns with resolved address data for every coordinate pair:
- 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. If coordinates fall outside populated areas or in a location DaData cannot resolve to a known address, the row is flagged rather than silently 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, like "55.7558,37.6173."
For each row, 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 the parsed address components, not just the full string
The dispatch system needs the city and street in separate fields, not a concatenated address string.
For each coordinate pair (latitude in column A, longitude in column B), 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 that fall in Kazakhstan or Belarus. DaData will not resolve these.
For each coordinate pair, 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 to know 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), use DaData to reverse-geocode and write the full address into column C and the city into column D. Then write a summary below: 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. The dispatch run and the weekly ops review both get what they need on Monday morning.
Try It
Get the 7-day free trial of SheetXAI and open any sheet 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 forward Russian addresses or the DaData in Google Sheets overview.