Case Study: Dashy Dash saves time and cuts invoice data entry with Impira

A Impira Case Study

Preview of the Dashy Dash Case Study

How Dashy Dash Uses Impira to Save Restaurants Money

Dashy Dash, a San Francisco-based business intelligence company serving restaurants, needed a faster and more flexible way to process large volumes of invoice data for onboarding and day-to-day operations. Their manual and outsourced data entry workflows were too slow, consumed staff time, and couldn’t handle the wide variety of invoice formats from different suppliers. They turned to Impira for a customizable invoice data processing solution.

With Impira’s OCR, table extraction, machine learning, and API/Amazon S3 integrations, Dashy Dash quickly began uploading invoices, extracting fields, and correcting data directly in the platform so models could keep improving automatically. The results included 1-day setup time, 550+ files uploaded, 35+ fields extracted, and 60% less data entry hours, while giving Dashy Dash greater transparency, control, and the ability to scale onboarding faster.


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Dashy Dash

Helen Steinhauser

Head of Data Operations


Impira

3 Case Studies