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Scaling issues when working with tens of thousands of locations

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    Natali Barnz
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    Lately, I’ve been encountering the scaling issue more frequently when dealing not with a hundred, but with tens of thousands of locations. We had a project for a network of service points across various cities, and initially, everything seemed straightforward: gathering data, updating addresses, operating hours, reviews. But as soon as the number of locations surpassed several tens of thousands, surprises began—limitations, duplicates, varied data formats, plus processing time increased manifold. At some point, I realized the old “little by little, manually fine-tuning” approach was no longer sufficient. I’m curious how you tackle such tasks: more automation, splitting into regions, or a complete tool change?

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