Alternative combinations for different data entries are discovered by Matchbook AI and you can create mapping for them in the Alternate Addresses tab. For example, when collecting customer details, the customers may have multiple addresses, work, home etc. Matchbook AI identifies the primary addresses and creates mapping for any other combinations found in the data set. These are then suffixed with increasing count (e.g., Address #2, Address #3 and so on).
| Table Column | Input Header Description |
| Company Name # 2 | This header indicates the secondary company name. |
| Address #2: Address Line 1 | This header signifies that the column contains the line 1 of the secondary address. |
| Address #2: Address Line 2 | This header indicates the line 2 of the secondary address. |
| Address #2: City/Locality | This header indicates the city/locality of the secondary address. |
| Address #2: State/Province/Region | This header indicates the state/province/region of the secondary address. |
| Address #2: Postal Code | This header indicates the postal code of the secondary address. |
| Address #2: Country | This header indicates the name of the country of the secondary address. |
| Company Name # 3 | This header indicates the tertiary company name. |
| Address #3: Address Line 1 | This header indicates the line 1 of the tertiary address. |
| Address #3: Address Line 2 | This header indicates the line 2 of the tertiary address. |
| Address #3: City/Locality | This header indicates city/locality of the secondary address. |
