A Customer Experience Management System | Case Study | Sidhyati Technology Solutions
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A Customer Experience Management System

How Sidhyati built a cloud-native platform that streamlines customer service operations, boosting productivity, monitoring, and organizational visibility, deployed on AWS and delivered through an AI-driven software development lifecycle.

5 modules
Portal, Kiosk, Service Point, TV, Dashboard
2 countries
Deployed in Singapore & India
Cloud-native
AWS, lower maintenance cost
Overview

The story in brief

Customer satisfaction is key in service-centric businesses. The Customer Experience Management system enhances productivity, monitoring, decision-making, and organizational visibility, streamlining customer-service operations across offices and branches. Sidhyati delivered it cloud-native on AWS, built through an AI-driven engineering process.

Where it's used
Transport officesCourtsImmigrationHospitalsBanksAirline offices
The challenge

What stood in the way

Systems built for one institution often fail to serve others. Visitors are unsure where to go for a service, crowds are hard to manage, and staff are difficult to deploy efficiently.

Rigid tools resist extension or customization, and on-premises deployments drive up maintenance cost versus a cloud-native solution.

Our approach

How we tackled it

We built a modular, cloud-native platform on AWS, using managed services for elastic scale, high availability, and lower maintenance cost than on-premises.

Delivery ran on an AI-augmented SDLC: AI-assisted analysis structured module requirements, AI pair-programming and automated tests sped the build, and AI code review held quality across every sprint.

How it works

From start to finish, in four steps

AI × SDLC · on AWSAI-driven delivery on a cloud-native foundation
01

Discover

AI-structured module & workflow requirements

02

Build

AI pair-programming across the module suite

03

Assure

Automated tests & AI review on AWS pipelines

04

Operate

Cloud monitoring & auto-balancing insights

Curious how AI shortens delivery without cutting corners? Explore our AI-Driven SDLC →

The solution

What we built

User-specific modules that streamline service operations end to end, all managed centrally on AWS.

Appointment Portal

Book, search, or cancel appointments.

Kiosk

Self-registration for queue tickets, appointments and walk-ins.

Service Point

Call, miss, stand down, end, or transfer customers.

TV Display

Show called queue numbers and counter assignments.

Dashboard

Monitor staff performance and workload with auto-balancing and manual overrides.

In action

See the product walkthrough

The impact

Measurable results for the business

Higher productivity: streamlined service operations across counters and branches.

Better crowd flow: guided journeys and queue tickets reduce confusion and wait times.

Smarter decisions: real-time dashboards give organizational visibility and workload balancing.

Flexible & reusable: modular design extends easily across industries.

Lower cost: cloud-native AWS deployment cuts maintenance versus on-premises.

Greater satisfaction: a smoother experience raises customer satisfaction.

At a glance

One platform, five modules

CXM on AWS
Portal
Kiosk
Service Point
TV Display
Dashboard

Every module is managed centrally on AWS.

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