I am trying to find a logic to identify orders from a same entity with different names. For example, I have a order list like this :
| Order No | From | |
|---|---|---|
| 123 | ABC PVT LTD | |
| 124 | ABC - India | |
| 125 | ABC - USA | |
| 126 | AB Companies | |
| 127 | Del | |
| 128 | All ABC Softwares |
So in this example, as u can see, ABC - Pvt LTD / ABC - India / ABC - USA are same entity with different locations. Thus I want to consider them as one entity and their order count = 3 but it should not include the All ABC Softwares which is a different entity of its own.
The result should look like this :
| Orders | From | |
|---|---|---|
| 3 | ABC | |
| 1 | AB Companies | |
| 1 | Del | |
| 1 | All ABC Softwares |
Similarly I have a list of 2000 entities that i need to match and group with similar ones.
I tried exploring Fuzzy match but it breaks for cases like, ABC - USA vs AB Companies, which should ideally be different but gives me as close as ABC PVT LTD
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