Case Study: AngelOne achieves 65% ticket deflection with Alltius

A Alltius Case Study

Preview of the AngelOne Case Study

AngelOne achieves 65% ticket deflection and 15%+ contact ratio reduction within 2 months of going live

AngelOne, a leading Indian stock brokerage with over 18 million users, was struggling to manage its rapidly growing customer support needs. The company faced long resolution times of several hours for user queries and a high volume of over 500,000 monthly tickets, which placed a significant strain on its large support agent team. To address this, AngelOne turned to Alltius for its AI-powered conversational assistants.

The solution from Alltius involved deploying customizable web and mobile widgets that were trained on AngelOne's extensive knowledge base. The implementation led to impressive results, including a 65% rate of self-serve ticket deflection and a 20% reduction in overall ticket volume. This freed up agent bandwidth and slashed median resolution times from hours to just seconds for the majority of users, demonstrating significant value within two months of going live.


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AngelOne

Jyotiswarup R

Chief Technology Officer


Alltius

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