What challenges did Gamota face before AI implementation?

Rising multilingual player inquiries increased support complexity and manual workload. Support agents needed faster access to account, purchase, and game context to respond consistently. The company needed a scalable way to manage support across a large and growing game portfolio.

Source

Evidence: Medium50/100

Gamota improves support operations with ECVBot (Amazon Bedrock)

Use case typeCustomer support automationUpdated Jun 13, 2026

Gamota, a Vietnam mobile game publisher under Appota Group, needed to handle rising volumes of complex player support inquiries across multiple countries, languages, and time zones. Its support team spent significant manual effort gathering context such as purchase history, ticket records, and in-game data before responding to players.

Organization: Gamota
Industry: Other
Location: Vietnam
Published: April 2026

Reported outcomes

Productivity: −50%

Productivity & throughput

Impact: Less than 30 secondsQuality: +15–20%

Catalog median for productivity & throughput deployments: −50% across 9 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Quantified impact: 50% decrease

AWS Case StudiesApr 29, 2026Case studyInferred claimMedium evidence strength

Gamota reduced human agent workload by 50%.

Normalized claim

Quantified impact: 30 seconds

AWS Case StudiesApr 29, 2026Case studyInferred claimMedium evidence strength

The chatbot generates player summaries in under 30 seconds.

Normalized claim

Time: 90%

AWS Case StudiesApr 29, 2026Case studyInferred claimMedium evidence strength

About 90% of inquiries are resolved within minutes.

Normalized claim

Quantified impact: 15-20% increase

AWS Case StudiesApr 29, 2026Case studyInferred claimMedium evidence strength

Gamota can support 15–20% more inquiry volume while maintaining consistent quality.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Gamota
Provider: AWS
Maturity: Unknown
Linked source: AWS Case Studies

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

1Customer support automation
2Generative AI chatbot
3Multilingual support

Gamota worked with AWS Partner eCloudvalley to deploy ECVBot, a generative AI chatbot on AWS.
The solution integrated with Gamota's internal CRM and game services, including player purchase history, ticket records, and in-game data.
Amazon Bedrock was used with multiple foundation models so simpler questions could use faster models while deeper reasoning tasks used larger models.
The chatbot was fine-tuned on Gamota game data and support scenarios and supports multilingual detection and responses.

Technologies

Amazon Bedrock

The chatbot generates player summaries in under 30 seconds.

Implementation partners1

eCloudvalley

Sources & evidence1

Evidence: Medium50/100Evidence strength