Case Study: Digsy.ai saves up to 10 hours per customer onboarding with Flatfile

A Flatfile Case Study

Preview of the Digsy.ai Case Study

Flatfile’s data importer saves Digsy AI up to 10 hours per new customer

Digsy.ai, a smart commercial real estate lead generation platform, needed a better way to ingest customer CRM data that arrived in many inconsistent CSV formats. Its homegrown importer lacked column-matching functionality, forcing the team to manually clean and reformat files before uploads and creating friction for customers and the support team.

Digsy.ai implemented Flatfile’s data importer, integrating it in one development sprint via JavaScript and using its column-matching and fuzzy-matching features to streamline uploads. With Flatfile, over 95% of columns are matched automatically, subsequent imports are saved and easier to repeat, and Digsy reduced the 8–10 hours previously spent preparing each new customer’s data to a fraction of that time.


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Digsy.ai

Meghann Quirante

Product Lead


Flatfile

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