AI case study

GamotaMultilingual customer support

Manual checks across 160 games bottlenecked support. GenAI now references player data to resolve 90% of inquiries in minutes.

Published

Key results

Workload Reduction
50%
Summary Generation Time
<30 secs
Rapid Resolution Rate
90%

Result highlights

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Where AI sits in the process

Where AI sits in this process. Unlock to see each step. AI PEOPLE Enarot Enarotiscl Enarotis Enaroti
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The story

Context

One of Vietnam's top three mobile game publishers supports over 35 million players across more than 160 titles throughout Southeast Asia.

Challenge

Rapid regional expansion created a bottleneck where a central team struggled to support players across diverse languages, cultures, and time zones....

Solution
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Quotes

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The company

Mobile game publisher and distribution platform for the Vietnamese market.

IndustryEntertainment
LocationHanoi, Vietnam
Employees51-250
Founded2013

The implementation partner

eCloudvalley logo

eCloudvalley

ecloudvalley.com
Role in this case study

Deployed and customized the ECVBot generative AI chatbot for Gamota's player support operations.

IndustryTechnology
LocationNew Taipei City, Taiwan
Employees251-1K
Founded2013

The vendor

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

aws.amazon.com

Cloud computing platform and on-demand infrastructure services.

IndustryTechnology
LocationSeattle, WA, USA
Employees100K+
Founded2006

Use case

Gamota's Multilingual customer support is part of this use case:

Customer Support Assistant
195 case studies(+3% YoY)
Proven impact?
Average
3.3Typical
3.3Typicalwithin Entertainment
3.3Typicalwithin Customer Service

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