Sprinklr
205 Case Studies
A Sprinklr Case Study
Multinational Electronics Corporation struggled to book product repairs outside business hours and spent too much agent time manually collecting details from customer-provided photos, invoices, and labels. Offshore teams also had difficulty with unfamiliar names and addresses, and data acquisition consumed about 60% of customer call time. Sprinklr helped address this with its conversational AI platform and vision-based chatbot.
Sprinklr implemented Optical Character Recognition (OCR) in the chatbot so it could read product labels, purchase invoices, and bills of sale, then extract model numbers, serial numbers, dates, vendor names, and billing/shipping details automatically. This streamlined ticket creation, warranty checks, and fraud detection while reducing manual data entry. As a result, customer satisfaction improved by 43%, and agents were able to focus more on customer service.
Multinational Electronics Corporation