Case Study: Jewish Federation of Greater Philadelphia improves address accuracy and cuts postage costs with Base64.ai Nixie Label automation

Charitable Non-profit Uses Ai To Automate Address Extraction From Returned Mail Nixie Postal Labels

The Jewish Federation of Greater Philadelphia, a non-profit organization, needed to reduce postage expenses and improve the accuracy of its donor database. Manually processing returned mail with Nixie labels to find corrected addresses was a significant and time-consuming operational challenge. To address this, they sought a solution from vendor Base64.ai.

Base64.ai implemented a specialized machine learning model to automate the extraction of return reasons and updated addresses from the USPS Nixie labels. This no-code solution from Base64.ai automatically feeds the extracted data into the organization's system, dramatically accelerating processing time. As a result, the Jewish Federation significantly reduced manual labor, cut postage costs, and increased the accuracy of its donor list.

Jewish Federation of Greater Philadelphia