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AI-Powered Customer Engagement & Developer Productivity for Sala Entertainment

How Sala Entertainment Leverages AI to Transform Customer Experience & Developer Productivity | Snaptec
☁️ AWS Case Study

How Sala Entertainment Leverages AI to Transform Customer Experience & Developer Productivity

Snaptec delivered two AI-powered solutions built on Amazon Web Services, enabling Sala Entertainment to serve 150,000+ users with intelligent automation while accelerating their development lifecycle by 99%.

150K+
Active Users Served
<1.5s
AI Response Time
99%
Faster Code Reviews
2
Languages Supported
Built on AWS — This solution is powered by Amazon Bedrock, Amazon Transcribe, AWS Lambda, Amazon API Gateway, and AWS Bedrock Guardrails, deployed in the AWS Middle East (Bahrain) region.

Sala Entertainment

Sala Entertainment, a subsidiary of Veda Holding, is a leading entertainment company based in Saudi Arabia operating a popular ticket booking and entertainment platform. With over 150,000 active users, the Sala app enables customers to discover events, book tickets, manage loyalty rewards, and charge digital wallets — all in both English and Saudi Arabic.

As their user base grew rapidly, Sala faced two critical challenges: scaling personalized customer support without proportionally increasing headcount, and maintaining code quality across their Magento 2 e-commerce backend as development velocity increased.

Scaling Support & Development Without Scaling Cost

Sala Entertainment’s growth brought two distinct but equally critical operational bottlenecks:

Customer Support at Scale

Customers struggled with navigating multiple app pages for ticket booking, and the support team was overwhelmed with repetitive queries about bookings, wallet balances, and loyalty programs. With a bilingual user base (English and Saudi Arabic), delivering fast, accurate, and personalized support required a solution beyond traditional FAQ pages.

Developer Productivity

Manual Magento 2 code reviews consumed 30–60 minutes per pull request. Reviewers inconsistently applied Magento best practices, security standards, and coding conventions across the Salahub backend repository. This created bottlenecks in the release pipeline and occasional quality escapes to production.

Two AI Solutions, One Unified Vision

Snaptec designed and delivered two complementary AI solutions, both powered by Amazon Bedrock, addressing customer-facing engagement and internal developer productivity simultaneously.

Solution 1

AI Chatbot

A bilingual conversational AI assistant embedded in the Sala booking app, powered by AWS Bedrock Agent with Nova Premier and Amazon Transcribe for voice input.

AI Engine Bedrock Agent (Nova Premier)
Voice-to-Text Amazon Transcribe
Languages English + Saudi Arabic
Response Time < 1.5 seconds
Users 150,000+ active
Solution 2

M2 Code Review

An automated AI code review system for Magento 2, triggered by GitHub pull requests, analyzing code quality, security, and best practices in seconds.

AI Engine Bedrock (Amazon Nova Pro)
Safety Bedrock Guardrails
Trigger GitHub Webhook → Lambda
Review Speed 1.6 sec/file
Cost ~$0.001 per file

Powered by AWS

Both solutions leverage AWS managed services for security, scalability, and cost efficiency — deployed in the AWS Middle East (Bahrain) region.

Amazon Bedrock
Nova Premier & Nova Pro LLMs
Bedrock Agent
Autonomous chatbot actions
Bedrock Guardrails
Content filtering & PII protection
Amazon Transcribe
Voice-to-text (EN & Arabic)
AWS Lambda
Serverless compute
API Gateway
Webhook & API endpoints
AWS KMS
Encryption at rest
Amazon CloudWatch
Monitoring & alerting

Solution Architecture

Both solutions follow serverless, event-driven architectures for automatic scaling and minimal operational overhead.

AI Chatbot Flow
User speaks or types in Sala App (English or Arabic)
Amazon Transcribe converts voice → text
Bedrock Agent (Nova Premier) processes intent
Agent queries App Database for real-time data (tickets, wallet, loyalty)
Generates personalized bilingual response in < 1.5 seconds
Fallback handlers ensure resilience against errors
M2 Code Review Flow
Developer opens Pull Request on GitHub (Salahub backend)
GitHub Webhook → API Gateway → Lambda
Lambda fetches PR diff via GitHub API
Bedrock (Nova Pro) analyzes code with Guardrails enabled
AI posts review comments directly on the PR
KMS CMK encrypts all data at rest

Measurable Business Impact

Both solutions delivered immediate, quantifiable improvements across customer experience and engineering efficiency.

150K+
Users served by AI Chatbot
<1.5s
Chatbot response time
99%
Faster code reviews
1.6s
Per file review time
$0.001
Cost per file review
2
Languages (EN + AR)
24/7
Always-on support
0
Servers to manage
By leveraging AWS Bedrock, we transformed both our customer experience and development workflow — delivering AI-powered support to 150,000+ users while our developers ship faster with confidence.
— Sala Entertainment Engineering Team

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