Case Study: Jewish Federation of Greater Philadelphia automates returned-mail address extraction with Base64.ai

Jewish Federation of Greater Philadelphia automates returned-mail address updates in moments with Base64.ai

The Jewish Federation of Greater Philadelphia, a charitable non-profit, faced significant challenges with managing returned donor mail. They needed to improve the accuracy of their donor address data, reduce postage costs, and eliminate the manual effort required to extract information from USPS Nixie labels. To address this, they turned to the AI and automation services provided by Base64.ai.

Base64.ai built a specialized machine learning model to read Nixie labels, extracting return reasons and updated addresses. This no-code automation solution from Base64.ai allowed the organization to simply upload images of the returned mail, which then automatically populated a spreadsheet with the extracted data. As a result, the Jewish Federation dramatically accelerated its mail processing time, cut postage expenses, and significantly increased the accuracy of its donor database.

Jewish Federation of Greater Philadelphia