Real Results.
Proven Impact.

Every solution is only as good as the results it creates.

At QSET, we don’t just deliver technology — we deliver measurable business transformation.

Our work across AI, Data, SAP, and Product Engineering has helped global enterprises achieve faster insights, higher efficiency, and stronger performance.

WHO WE SERVE

Trusted by Leaders Across Industries

We partner with enterprises, scale-ups, and digital-first businesses across Healthcare, BFSI, Retail, Manufacturing, E-commerce, and FMCG.

Each case study showcases how QSET tailors strategy, architecture, and delivery to match unique industry challenges — whether it’s regulatory compliance in healthcare or real-time data accuracy in fintech.

Our clients come to us with complexity.
We deliver clarity, scalability, and confidence.

WHAT WE DO

From Proof of Concept to Production —
We Deliver End-to-End Impact.

Our engineering and consulting teams collaborate from the very first problem statement to post-deployment optimization.
Every project combines strategic vision, hands-on execution, and measurable value.

Our Expertise Includes:

AI & Generative AI Solutions

Building copilots, intelligent content engines, and conversational platforms that scale.

Data Engineering & Analytics

Architecting secure, modern data stacks that turn data chaos into business intelligence.

Data Science & ML

Designing predictive models and automating decision systems with MLOps maturity.

SAP & Enterprise Applications

Transforming ERP operations with next-gen S/4HANA and BTP integrations.

End-to-End Product Development

From ideation and UX to scalable cloud-native deployment — we build products that last.

For clients who need sustained innovation support, QSET also provides dedicated project pods for ongoing delivery and optimization.

FEATURED CASE STUDIES

Selected Success Stories from Our Clients

Healthcare

Unified Data Platform for Multi-Hospital Network

Challenge:
A leading healthcare group struggled with siloed systems and manual reporting that took up to 8 hours per cycle, impacting care coordination and compliance.

Solution:
QSET built a secure, FHIR-compliant data platform on Azure, integrating EHR, billing, and lab systems into a single data lake. We implemented Power BI dashboards for instant operational and clinical insights.

Outcome:

Reporting time reduced from 8 hours to 30 minutes

Data accuracy in compliance reporting
0 %
Visibility across patient care and cost centers
0 °

Technologies Used: Azure Data Factory, Databricks, Power BI, Python

Retail

Generative AI-Powered Demand Forecasting

Challenge:
A large retail chain faced high stockouts and overstock issues due to inaccurate manual forecasting.

Solution:
QSET developed a generative AI model trained on historical sales, promotions, and seasonal trends to predict SKU-level demand in real time.

Outcome:

Inventory costs reduced
0 %
Product availability improved
0 %
Forecast accuracy increased
0 %

Technologies Used: Python, TensorFlow, Vertex AI, BigQuery

BFSI

AI-Driven Credit Risk Prediction Engine

Challenge:
A digital lending firm needed to automate credit risk assessment and reduce defaults without compromising turnaround time.

Solution:
We designed an ML-based risk prediction engine using alternate data sources (transactional, behavioral, and geolocation). Integrated it seamlessly with their core banking API stack.

Outcome:

Loan approval time reduced
0 %
Default rate dropped
0 %
Compliance readiness improved across regions
0 %

Technologies Used: AWS SageMaker, Kafka, PostgreSQL, LangChain

Manufacturing

Smart Factory with SAP & IoT Integration

Challenge:
An automotive parts manufacturer had inconsistent production data across multiple plants, leading to high downtime and inefficiencies.

Solution:
QSET connected IoT sensors to SAP S/4HANA, capturing machine telemetry for predictive maintenance and real-time efficiency analytics.

Outcome:

Equipment uptime increased
0 %
Maintenance costs reduced
0 %
Predictive alerts improved response time
0 %

Technologies Used: SAP BTP, IoT Core, MQTT, Python

Fintech

Digital Lending Platform (MVP to Production)

Challenge:
A fintech startup wanted to launch a compliant, cloud-based digital lending app for MSMEs in under four months.

Solution:
QSET designed and built a cloud-native, multi-tenant lending platform with secure onboarding, credit assessment, and document verification workflows.

Outcome:

MVP delivered
0 Days
Users Onboarded in 6 months
0 +

Enabled real-time loan disbursement via API integration with partner banks

Technologies Used: Node.js, Angular, AWS Lambda, DynamoDB

WHY QSET

Technology That Creates Measurable Business Impact

We’re not just engineers – we’re strategists who align technology with business value.
Our difference lies in how we think, not just what we build.

Why Clients Choose QSET:

Domain-specific knowledge across regulated and fast-changing sectors

Blend of consulting foresight and product engineering rigor

Proven frameworks that ensure faster time-to-market

Agile, transparent delivery with measurable outcomes

TECHNOLOGY & PLATFORMS

The Foundation Behind Every Transformation

The Foundation Behind Every Transformation

We partner with global technology leaders and open ecosystems to ensure flexibility, scalability, and long-term sustainability.

Cloud

AWS

Azure

Google Cloud

Data & Analytics

Snowflake

Databricks

Power BI

Tableau

BigQuery

AI & ML

OpenAI

LangChain

Hugging Face

TensorFlow

Vertex AI

Enterprise Systems

SAP S/4HANA

SAP BTP

Fiori

.NET

Java

DevOps

Docker

Kubernetes

Jenkins

Terraform

GitHub Actions

Every case study you’ve read was powered by this ecosystem — and a team that knows how to make it work for your goals.

NEED HELP

Your Transformation Story Starts Here

We’ve helped enterprises across industries modernize faster and smarter — now, it’s your turn.

Let’s discuss your next big idea or challenge and turn it into measurable impact.