Case Study: Infobip Creates Conversational AI Chatbots with Appen’s High-Quality Datasets

A Appen Case Study

Preview of the Infobip Case Study

Appen’s custom datasets help Infobip to create conversational AI chatbots which improves satisfaction and lessens the cost of customer service

Infobip, a cloud communications platform, needed large volumes of high-quality, globally sourced training data to build its Answers conversational AI chatbot platform. The company’s challenge was getting validated datasets quickly enough to train chatbots across multiple languages and regional variations while maintaining accuracy, intent coverage, and strong customer satisfaction.

Infobip chose Appen as its data partner for custom dataset creation and validation. Appen provided screened contributors, manual QA, machine-learning-assisted checks, and extra utterances to ensure relevance and uniqueness, helping Infobip reduce time to deployment and train higher-quality chatbots more efficiently. The result was faster delivery of better datasets, along with a single point of contact through Appen’s managed services team for smoother project execution.


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Infobip

Ante Stjepanovic

Product Marketing Manager


Appen

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