Case Study: Jobstars India achieves 60% more candidate applications with Gallabox

Jobstars India Deployed a Multilingual Chatbot to Handle 60% of Candidate Conversations, Thereby Reducing 10,000 Minutes of Manual Agent Intervention

Jobstars India, a prominent player in the Indian recruitment sector, faced challenges due to a manual and agent-intensive workflow. This process led to human errors, such as sending incorrect forms, delayed responses, and candidate drop-offs. Jobstars turned to Gallabox for a solution to automate and streamline their candidate communications.

Gallabox implemented a multilingual, rule-based chatbot to automate conversations and data collection. This solution drastically reduced manual errors and provided a single database for all information. The impact was significant: Gallabox helped Jobstars achieve a 60% increase in candidate applications and sales, a 40% reduction in manual agent intervention, and a savings of over 10,000 minutes of human effort, all while acquiring 2000+ new customers within two months.

Jobstars India

A. Kamalahasan

Managing Director