Case Studies

Projects That Made Impact

Real examples of how SarmaLinux has helped businesses transform their operations with AI, automation, and modern technology.

Logistics

AI Automation Platform for Logistics

The Challenge

A logistics company was drowning in manual data entry and document processing, with staff spending hours daily on shipment documentation and customer communications.

The Solution

Built an AI-powered automation platform that processes shipping documents, extracts key information, updates systems automatically, and generates customer notifications.

n8nOpenAIPythonSupabase

Outcomes

75%
Reduction in manual processing time
99%
Accuracy in data extraction
40hrs
Saved per week on documentation
Technology

Cloud Migration Architecture

The Challenge

A growing SaaS company needed to migrate from legacy on-premise infrastructure to the cloud while maintaining zero downtime for their 10,000+ active users.

The Solution

Designed and executed a phased migration strategy to AWS, implementing microservices architecture, automated deployments, and comprehensive monitoring.

AWSDockerTerraformGitHub Actions

Outcomes

0
Minutes of downtime
60%
Reduction in infrastructure costs
3x
Improvement in deployment frequency
SaaS

SaaS Analytics Platform

The Challenge

A startup needed to build a comprehensive analytics platform that could ingest data from multiple sources and provide real-time insights to their customers.

The Solution

Developed a scalable analytics SaaS platform with real-time data pipelines, customizable dashboards, and AI-powered anomaly detection.

Next.jsPostgreSQLRedisPython

Outcomes

50K+
Events processed per second
< 1s
Dashboard load time
95%
Customer satisfaction score
Enterprise

Enterprise Workflow Automation

The Challenge

An enterprise organization had complex approval workflows spanning multiple departments and systems, causing delays and lack of visibility.

The Solution

Created a unified workflow automation system that connected existing tools, automated approvals, and provided complete visibility into process status.

n8nReactNode.jsPostgreSQL

Outcomes

80%
Faster approval cycles
100%
Process visibility
0
Lost requests
E-Commerce

AI Customer Support Chatbot

The Challenge

An e-commerce company was overwhelmed with customer inquiries, with support agents spending most of their time answering repetitive questions about orders, shipping, and returns.

The Solution

Developed an AI-powered chatbot with a custom knowledge base, integrated with order management systems to provide real-time order status, handle returns, and escalate complex issues to human agents with full context.

OpenAINext.jsSupabasen8n

Outcomes

65%
Inquiries handled by AI
24/7
Support availability
4.8
Customer satisfaction rating

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Technologies I work with

Next.jsReactPythonAWSAzuren8nOpenAISupabase