Standardize addresses
“standardize the mailing addresses: consistent street abbreviations, state codes, zip codes and capitalization”
Standardize the mailing addresses in Customer Mailing Addresses for consistent street abbreviations, state codes, zip codes and capitalization, using USPS abbreviations.
What the agent built
1 step, each one an ordinary Mammoth step you can open and change.
- FileCustomer Mailing AddressesCSV export · 15 rows
- StepStandardize address formattingStep 1
- ResultStandardized Mailing Addresses15 rows
- ScheduleRuns when you sayProposed
Checked on the sample files: every step ran, 15 rows came out.
- Download Customer Mailing Addresses sample (15 rows)Excel: File > Save As > CSV (sheet: Mailing_Addresses)
What you get back
The result of that run, the rows to look at first.
| Customer ID | Customer name | Street address | City | State | ZIP code |
|---|---|---|---|---|---|
| cust_1001 | Northwind Outfitters | 128 E MARKET ST | MADISON | WI | 53703 |
| cust_1002 | Briar & Co. | 55 WESTLAKE AVE APT 4B | SEATTLE | WA | 98109-4412 |
| cust_1003 | Summit Ledger Group | 9 PINE RD | PORTLAND | OR | 97205 |
| cust_1004 | Harborline Foods | 4100 N 7TH ST STE 210 | PHOENIX | AZ | 85014 |
| cust_1005 | Blue Cedar Studio | 77 KING ST | CHARLESTON | SC | 29401-2003 |
| cust_1006 | Iron Orchard Supply | 600 S BROADWAY BLVD | LOS ANGELES | CA | 90013 |
| cust_1007 | Lumen Care Partners | 2400 W CEDAR AVE | CHICAGO | IL | 60622 |
| cust_1008 | Maple Ridge Retail | 18 ELM ST | BOSTON | MA | 02110 |
| cust_1009 | Evergreen Transit | 9010 3RD AVE N | MINNEAPOLIS | MN | 55401-1234 |
| cust_1010 | Cinderhouse Media | 12 OAK CT | DALLAS | TX | 75201 |
| cust_1011 | Pelican Bay Imports | 3001 COASTAL HWY | WILMINGTON | DE | 19801 |
| cust_1012 | Aurora Fabrication | 1442 MOUNTAIN BLVD STE 5 | DENVER | CO | 80202 |
How do you standardize mailing addresses?
Export your address list from Excel and upload the file. Mammoth standardizes the mailing addresses with consistent street abbreviations, state codes, zip codes, and capitalization. It then returns standardized mailing addresses you can review or export.
How it works
How to use the Standardized Mailing Addresses workflow
- 1Get early accessWe invite people in small batches, job by job. You'll land on this workflow, already built and checked on the sample files.
- 2Swap in your exportsUpload your own files as they come out of your tools. The agent checks the workflow on your rows.
- 3Change it in words, then turn it onSay what to change and see the new result before anything saves. Then choose when it runs.
Standardized Mailing Addresses: questions
What export should I use from Excel?
What happens to rows that do not match an address pattern?
How do I change the address rules?
Get early access to this workflow
It will open already built and checked on the sample files. Swap in your own exports and see your result.
Workflows like this
Remove duplicate rows, catch invoices paid twice, match messy names to a master list, standardise spellings and turn wide tables long.
- Pivot table from raw dataTurn a raw sales export into a pivot table of revenue by region and month.See the workflow Built by the agent
- Remove duplicatesOne row of each, with a Copies column saying how many there wereSee the workflow Template
- Match names to a master listEach record with its master name (and ID), and how it matchedSee the workflow Template
- Compare two listsCompare two exported spreadsheet lists by email, see matches, and label rows where name and email agree or differ.See the workflow Built by the agent
- Duplicate invoice checkPairs of bills that look paid twice: same supplier, same amount, close dates or the same numberSee the workflow Template
- Standardise namesA Standard name for every row, so spellings of the same name group togetherSee the workflow Template