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Capability: Cloud

Introduction

Commercial Data Warehouse Migration to AWS enables airlines to modernize legacy data environments and support scalable, data-driven decision-making. Many aviation organizations operate complex data warehouse ecosystems built on legacy BI stacks and tightly coupled systems. Over time, these environments become difficult to maintain, expensive to operate, and slow to support new analytics initiatives.

This case study highlights how a large European airline modernized its commercial data ecosystem by migrating its legacy Data Warehouse (DWH) to a cloud-native architecture on AWS. By transforming the legacy platform into a scalable Data Lake and simplifying commercial data workflows, the airline improved data quality, enhanced governance, and enabled faster decision-making across pricing, revenue, marketing, and sales domains. As a result, the organization established a future-ready data platform capable of supporting advanced analytics and AI-driven innovation.

Customer

The customer is a major European airline managing large volumes of commercial and operational data across multiple business units. The airline’s legacy commercial Data Warehouse had grown overly complex due to years of system dependencies, custom pipelines, and fragmented reporting environments.

These challenges made it difficult to maintain data quality, slowed analytics initiatives, and increased operational costs. Therefore, the airline required a modern, cloud-based data architecture that could simplify the commercial data landscape while enabling scalable analytics capabilities.

Business Objective

The primary objective was to modernize the airline’s commercial data ecosystem by migrating its legacy Data Warehouse to a scalable cloud-native Data Lake on AWS.

Key objectives included reducing dependency on legacy BI tools and high-cost infrastructure, simplifying the commercial data landscape, and eliminating interdependency-driven bottlenecks. In addition, the airline aimed to improve data quality and governance while enabling cross-domain visibility across commercial functions.

Another important goal was to support faster decision-making through self-service analytics and unified reporting. Ultimately, the airline sought to establish a future-ready data platform capable of supporting additional business domains and advanced analytics initiatives.

Scope of Services

Platform Modernization & Migration

  • Re-engineered the legacy commercial domain DWH into an AWS-native architecture

  • Built a scalable Data Lake using S3, Redshift, Spark, Hive, and NiFi

  • Migrated complex data pipelines while resolving functional and process interdependencies

End-to-End Reference Architecture

  • Designed a cloud-first architecture optimized for analytics, storage, and compute

  • Implemented modular processing layers for ingestion, transformation, and data consumption

Functional Review & Business Rule Redesign

  • Conducted functional assessment across pricing, revenue, sales, and marketing processes

  • Rationalized and redesigned business rules to eliminate redundancies

  • Standardized KPI definitions across commercial units

Governance & Quality Framework

  • Implemented data quality, metadata management, and lineage tracking

  • Established governance workflows and role-based data access

Reporting & Insights Enablement

  • Enabled self-service analytics and reporting for commercial teams

  • Consolidated insights across pricing, demand, marketing, and revenue domains

Benefits

  • Significant cost savings through consolidation of technology infrastructure

  • Simplified reporting environment enabling faster insights

  • Reduced dependency on IT teams through self-service analytics

  • Improved data quality and governance through enterprise frameworks

  • Streamlined business rules eliminating complex interdependencies

  • Unified commercial data repository supporting cross-functional analytics

  • Flexible platform capable of onboarding new business domains

Impact

  • 40–60% reduction in operational overhead after eliminating legacy systems

  • Faster insight generation through self-service access for revenue and pricing teams

  • Improved commercial decision accuracy through standardized KPIs

  • Analytics project lead time reduced from weeks to days

  • Future-ready data platform enabling AI and machine learning use cases

Customer

As part of a zero-downtime cloud migration, a top-tier financial institution set out to modernize its IT landscape while continuing uninterrupted banking operations. Operating in a highly regulated global environment, the institution managed critical financial systems that demanded constant availability, strict compliance, and strong customer trust. The organization needed a secure and seamless migration to the cloud that improved agility and scalability without risking downtime, regulatory breaches, or service disruption.

Business Objective

The institution aimed to:

  • Execute a zero-downtime cloud migration for mission-critical systems

  • Maintain regulatory compliance across multiple global markets

  • Protect customer trust by avoiding service interruptions

  • Improve operational efficiency and digital service delivery

  • Accelerate time-to-market for new digital offerings

  • Reduce dependency on manual compliance management

  • Establish a scalable, secure cloud foundation for future growth

Scope of Services

BXI Technology partnered with the client to deliver a compliance-first cloud modernization program.

Regulatory-Ready Cloud Migration

  • Designed a phased migration roadmap ensuring uninterrupted operations

  • Addressed GDPR, PCI-DSS, and regional financial regulations

  • Implemented strong data security, access governance, and audit controls

Risk-Free Cloud Modernization

  • Modernized legacy systems for seamless cloud integration

  • Enabled real-time monitoring to ensure integrity during migration

  • Strengthened business continuity and operational resilience

Compliance Automation & Integration

  • Automated manual compliance tasks to reduce operational overhead

  • Centralized regulatory reporting and region-specific assessments

  • Enabled faster go-to-market for new digital banking services

This zero-downtime cloud migration approach ensured stability while unlocking cloud agility.

Benefits

  • Uninterrupted banking operations during full-scale cloud transition

  • Improved operational efficiency through automation and cloud optimization

  • Faster innovation cycles for launching new digital services

  • Reduced compliance effort with automated regulatory controls

  • Stronger customer trust through stable, secure digital experiences

  • Scalable cloud architecture aligned with long-term growth

Impact

  • Zero downtime achieved during migration of critical systems

  • 30% improvement in operational efficiency

  • Two new digital services launched within six months

  • 20% increase in customer acquisition driven by cloud-enabled offerings

  • Compliance achieved across GDPR, PCI-DSS, and regional regulations

  • Faster product rollout cycles enabled by cloud agility

 

Introduction

Cold chain logistics demands zero tolerance for downtime, data loss, or infrastructure instability. This case study showcases how Cold Chain Cloud Infrastructure Modernization enabled a global temperature-controlled logistics provider to migrate critical workloads to Azure, implement a resilient hybrid cloud model, and build a future-ready IT foundation for time-critical cold-chain operations.

Customer Overview

A global cold chain logistics provider headquartered in North America, specializing in temperature-controlled warehousing, distribution, and time-critical delivery services. The customer’s operations depend on highly resilient IT infrastructure to ensure uninterrupted cold-chain integrity across global markets.

Business Objectives

The customer initiated the Cold Chain Cloud Infrastructure Modernization program to transform legacy systems into a modern, agile, and resilient platform. Key objectives included:

  • Build a modern, lean, and resilient IT infrastructure for time-critical deliveries

  • Increase IT team agility and responsiveness to business demands

  • Adopt a Cloud-First strategy to modernize legacy environments

  • Migrate workloads to cloud for scalability, reliability, and global accessibility

  • Consolidate data centers to reduce cost and operational complexity

  • Prepare a future-ready platform for upcoming digital logistics applications

  • Reduce downtime and prevent data loss across global sites

Scope of Services

BXI Technologies partnered with the customer to execute a multi-layer cloud modernization and hybrid infrastructure program.

Azure Production & Migration

  • Migrated X86 and Windows workloads to Azure production and disaster recovery environments

  • Implemented Azure with StorSimple to address enterprise storage challenges

  • Consolidated remote sites using RSCA

  • Tested and deployed Azure Migration Accelerator for large-scale workload movement

Hybrid Cloud Implementation

  • Designed and implemented a Hybrid Cloud operating model (MCOD)

  • Integrated Azure as an extension of existing data centers across EMEA and APAC

  • Enabled seamless workload mobility across on-premises and cloud environments

Data Center Migration & Consolidation

  • Consolidated multiple data centers into a streamlined hybrid cloud footprint

  • Improved infrastructure resiliency while reducing operational overhead

Automation & Digital Twin Enablement

  • Automated key infrastructure management processes

  • Introduced Digital Twin concepts for proactive monitoring, simulation, and issue prevention

Benefits

  • Modern, resilient, and scalable cloud-enabled infrastructure

  • Faster IT response to evolving business needs

  • Seamless hybrid cloud operations across global regions

  • Reduced operational complexity through data center consolidation

  • Improved storage management and disaster recovery capabilities

  • Enhanced stability for time-critical cold-chain logistics operations

  • Future-ready foundation for next-generation digital logistics platforms

Impact

  • 70% of workloads successfully migrated to Azure

  • 97% virtualization achieved across the infrastructure

  • Near-zero downtime during migration execution

  • Near-zero data loss across all infrastructure transitions

Introduction

Retail IT Infrastructure Modernization is essential for multinational retailers operating at scale, where system performance and reliability directly influence customer experience and revenue. As retail businesses grow across regions and channels, legacy infrastructure often struggles to handle increasing transaction volumes, peak demand, and expansion requirements.
This case study highlights how Retail IT Infrastructure Modernization enabled a multinational retailer to overcome scalability challenges and performance inefficiencies. By modernizing its IT foundation and moving to a resilient cloud architecture, the organization improved operational agility, reduced costs, and created a scalable platform to support growth and market expansion.

Customer

The customer is a multinational retailer operating across multiple regions, supporting large-scale retail operations with high transaction volumes and customer-facing systems.
As the business expanded, fragmented legacy infrastructure and performance limitations began impacting system responsiveness, operational efficiency, and customer satisfaction. These challenges made it difficult to scale reliably and respond quickly to market demands, prompting the need for infrastructure modernization.

Business Objective

The primary objective was to modernize IT infrastructure to address scalability challenges and performance inefficiencies.
The retailer aimed to improve operational agility and system reliability while reducing infrastructure and maintenance costs. In addition, leadership sought to enhance customer satisfaction by ensuring faster, more stable systems across retail operations.
Another key objective was to enable revenue growth and market expansion by establishing a scalable IT foundation capable of supporting future demand. Retail IT Infrastructure Modernization was identified as the core enabler to achieve these outcomes.

Scope of Services

The engagement focused on large-scale IT and infrastructure modernization.
First, fragmented legacy systems and operational bottlenecks were assessed to identify scalability and performance constraints.
Next, a resilient and scalable cloud architecture was designed to support current and future retail workloads.
Core systems and applications were then migrated to cloud infrastructure to improve flexibility, performance, and reliability.
Manual operational processes were reduced through modernization efforts, improving efficiency and lowering operational overhead.
In parallel, performance monitoring and system resilience capabilities were enabled to proactively prevent outages.
Finally, the modernized IT foundation was aligned to support market expansion and future growth initiatives.

Benefits

  • Improved system responsiveness and reliability across retail operations

  • Lower infrastructure and maintenance costs through cloud adoption

  • Enhanced operational agility enabling faster response to market changes

  • Reduced revenue loss by minimizing outages and performance issues

  • Scalable IT foundation supporting expansion into new markets

  • Improved customer experience driven by faster, more reliable systems

Impact

  • 70% of infrastructure migrated to the cloud

  • 50% faster system response times

  • 40% reduction in IT infrastructure and operational costs

  • Enabled market expansion through scalable cloud capabilities

Introduction

AI-Driven Employee Life Cycle Automation enables enterprise organizations to streamline onboarding, internal role changes, and offboarding through intelligent workflow orchestration. In large enterprises, employee transitions often involve multiple systems, manual approvals, and fragmented HR and IT coordination. These inefficiencies create delays, increase operational costs, and introduce compliance risks.

This case study highlights how AI-Driven Employee Life Cycle Automation helped an enterprise organization modernize employee transitions by integrating HR and IT operations into a single automated workflow. By replacing repetitive manual processes with AI-enabled orchestration, the organization improved operational control, enhanced employee experience, and strengthened governance across the employee journey.

Customer

The customer is an enterprise organization managing complex employee life cycle processes across HR and IT functions. The organization handled onboarding, internal movements, role changes, and offboarding through multiple disconnected systems.

Manual coordination between HR and IT teams increased effort and caused delays in access provisioning, asset allocation, and system updates. As workforce scale increased, the organization required a more structured, automated, and auditable approach to employee transitions.

Business Objective

The primary objective was to automate time-consuming employee life cycle processes while improving operational efficiency and employee satisfaction.

The organization aimed to reduce manual effort across onboarding, role changes, and offboarding activities. Additionally, it sought to eliminate delays caused by fragmented systems and access control updates.

Leadership also required stronger auditability and compliance during employee transitions. Therefore, the solution needed to provide standardized execution, cost control, and improved governance across HR and IT functions.

Scope of Services

BXI delivered an AI agent–driven employee life cycle automation solution integrating HR and IT workflows.

The process began with HR request initiation through the HRM application. Service requests were automatically created in the ITSM tool and assigned to an AI-powered virtual assistant.

The AI agent validated requests and orchestrated end-to-end employee life cycle workflows. Automated provisioning and de-provisioning of system access were executed without manual intervention. Asset allocation and deallocation—including email accounts, system access, and devices—were managed through structured automation.

The solution also provided complete tracking and an audit trail for all employee-related actions, ensuring transparency and compliance.

Benefits

  • End-to-end self-service automation for repetitive employee life cycle tasks

  • Single-click approvals via email or SMS, reducing approval delays

  • Improved cost efficiency through reduced manual handling

  • Standardized and error-free access and asset management

  • Complete audit trail supporting compliance and governance

  • Enhanced employee experience across onboarding, transitions, and exits

Impact

  • Faster onboarding and internal role transitions

  • Reduced operational effort for HR and IT teams

  • Lower risk of access control errors

  • Improved employee satisfaction and engagement

  • Stronger governance and audit readiness

Introduction

AI-Driven Customer Engagement allows restaurant brands to respond to shifting consumer behavior with real-time, personalized interactions. This case study highlights how AI-Driven Customer Engagement helped a restaurant enterprise unify customer intelligence and unlock new revenue opportunities.

Customer

A restaurant business navigating digital adoption, delivery platforms, and rising operating costs.

Business Objective

The customer aimed to improve customer engagement, increase visit frequency, and drive incremental revenue through omnichannel personalization.

Scope of Services

BXITech implemented an AI-powered customer data engine combining first- and third-party data. Salesforce CDP and Marketing Cloud capabilities enabled unified customer identities, real-time personalization, and automated engagement across digital channels.

Benefits

  • 360-degree customer visibility

  • Real-time personalization

  • Improved engagement and retention

  • Smarter demand planning

Impact

  • $550M incremental revenue opportunity over 5 years

  • Real-time personalization at scale

  • Unified data architecture

Customer

Siebel to Salesforce migration became a strategic priority for a leading Hi-Tech product vendor and system integrator based in the United States. The organization relied heavily on Siebel for core CRM operations but faced limitations in agility, scalability, and user experience. To modernize customer-facing processes and support global growth, the customer sought a trusted partner to lead a full-scale Siebel to Salesforce migration.

Business Objective

The customer aimed to:

  • Transition from Siebel to Salesforce to improve agility and scalability

  • Standardize CRM processes across global regions

  • Improve user experience and adoption for sales, service, and operations teams

  • Enable faster development, deployment, and integration cycles

  • Reduce long-term IT spend and CRM support overhead

  • Increase operational efficiency by consolidating tools and workflows

Scope of Services

BXI Tech was selected as the strategic transformation partner to execute the Siebel to Salesforce migration through a multi-phase modernization program:

  • Migrated legacy Siebel CRM processes to Salesforce.com using a high-speed development model

  • Consolidated fragmented workflows into simplified, optimized Salesforce processes

  • Deployed Salesforce across multiple countries with region-specific configurations

  • Integrated Salesforce with enterprise systems, including:

    • PeopleSoft HRMS

    • Enterprise Data Warehouse

    • SharePoint

    • AppExchange tools such as Conga Merge, DealMaker, Timba Surveys, InsideView, Eloqua, and ClickTools

  • Established a managed services model to support continuous enhancement and operational stability

  • Streamlined CRM services and support structures for long-term maintainability

Benefits

The modernization initiative delivered measurable improvements across CRM operations:

  • Consolidated and standardized CRM processes across regions

  • Faster rollout of CRM capabilities in new markets

  • Stronger integration with enterprise applications and business workflows

  • Improved usability, driving higher user confidence and adoption

  • Reduced complexity through platform consolidation

Impact

  • 35–40% reduction in overall IT spend

  • 60% increase in Salesforce user adoption

  • 8% year-on-year reduction in CRM support team size

  • Service request backlog reduced from 30,000 to 500 over five years

 

Customer

As part of an omni-channel digital transformation for logistics, a leading integrated logistics service provider based in APAC set out to unify its customer experience and operations. Rapid growth driven by mergers and acquisitions had resulted in a fragmented digital ecosystem with dozens of disconnected touchpoints. Customers encountered inconsistent journeys across transportation, warehousing, fulfillment, and cross-border services, while internal teams operated in silos with limited visibility. The organization needed a single, scalable digital platform to restore consistency, transparency, and growth.

Business Objective

As part of an omni-channel digital transformation for logistics, a leading integrated logistics service provider based in APAC set out to unify its customer experience and operations. Rapid growth driven by mergers and acquisitions had resulted in a fragmented digital ecosystem with dozens of disconnected touchpoints. Customers encountered inconsistent journeys across transportation, warehousing, fulfillment, and cross-border services, while internal teams operated in silos with limited visibility. The organization needed a single, scalable digital platform to restore consistency, transparency, and growth.

Scope of Services

BXI Technologies partnered with the customer to deliver a consolidated digital business platform.

  • Launched a One Digital Business Platform unifying 30+ customer channels

  • Standardized workflows and created a single digital entry point for all services

  • Implemented Data Event Management for real-time shipment visibility

  • Built cloud infrastructure using Infrastructure as Code (IaC):

    • AWS EC2, RDS, S3, SQS, EMR, Kinesis

    • AWS CLI automation via Ansible

    • CI/CD pipelines on AWS Cloud

    • iPaaS-based backend integrations

    • Backup and disaster recovery setup

  • Adopted an MVP-first approach starting with Track & Trace

  • Refactored backend systems to unify routing, pricing, and fulfillment logic

This omni-channel digital transformation for logistics eliminated silos while enabling faster innovation.

Benefits

  • Unified omni-channel experience through a single digital platform

  • Consistent customer journeys across all logistics services

  • Improved shipment visibility and faster issue resolution

  • Stronger customer engagement through a consolidated interface

  • Increased cross-sell opportunities across transport and logistics offerings

  • Streamlined backend operations with standardized workflows

Impact

  • 20% reduction in customer churn

  • 28% reduction in call center volume for shipment tracking

  • 30+ customer channels consolidated into a single platform

  • 72 fragmented customer journeys eliminated

 

Customer

Cloud-Native E-Commerce Modernization for a Fast-Growing Retailer

A fast-growing e-commerce company embarked on a cloud-native e-commerce modernization journey to support rapid business growth. As online demand increased, especially during seasonal peaks, the existing platform began to show its limitations. Page load delays, backend bottlenecks, and intermittent downtime negatively impacted the customer experience.

As a result, the retailer needed a modern, cloud-native application foundation that could scale seamlessly, deliver consistent performance, and support long-term growth without disruption.

Business Objective

To address these challenges, the retailer set out to:

  • Handle seasonal traffic spikes without downtime

  • Improve overall user experience and page performance

  • Accelerate order processing and backend workflows

  • Leverage AI insights to better understand customer behavior

  • Build a scalable, future-ready application architecture

  • Support sustainable revenue growth during peak sales cycles

Together, these objectives defined a clear roadmap for cloud-native e-commerce modernization focused on resilience, speed, and scalability.

Scope of Services

BXI Technology partnered with the retailer to deliver a modern, cloud-native digital platform. To begin with, the team designed and built a scalable e-commerce application optimized for high-traffic scenarios. In parallel, the team modernized backend integrations to ensure smooth data flow across systems.

In addition, BXI Technology implemented AI-driven analytics to generate actionable insights into customer behavior. At the same time, the team automated critical order processing workflows to reduce manual effort and improve speed. Finally, they integrated third-party APIs to enhance platform responsiveness and operational agility.

As a result, the transformation replaced rigid legacy components with a flexible, high-performance architecture.

Benefits

Following the transformation, the retailer achieved:

  • Improved user experience during high-traffic events

  • Enhanced platform stability and performance during seasonal peaks

  • Faster and more efficient order processing through automation

  • Better operational efficiency through integrated backend systems

  • Quicker decision-making enabled by AI-driven analytics

  • A stronger, more scalable foundation for long-term growth

Impact

Consequently, the business recorded measurable outcomes:

  • 50% reduction in platform downtime
  • 40% increase in order processing efficiency
  • 25% revenue growth during the next seasonal sale

Customer

A leading global retailer operating across more than 20 countries undertook a retail cloud infrastructure modernization initiative to support its rapidly growing digital commerce business. As online demand increased across regions, the retailer’s legacy IT infrastructure began to limit performance, scalability, and reliability, especially during peak shopping periods. To sustain global growth and deliver consistent customer experiences, the organization needed a modern, cloud-first foundation that could scale quickly and operate reliably across markets.

Benefits

The retailer set out to:

  • Scale digital and e-commerce operations across 20+ countries

  • Improve platform performance and response times

  • Eliminate bottlenecks caused by aging IT infrastructure

  • Reduce operational costs through infrastructure modernization

  • Enable faster expansion into new geographic markets

  • Ensure high reliability and uptime during peak demand periods

Scope of Services

BXI Technologies partnered with the retailer to modernize its digital infrastructure and improve operational agility. The engagement focused on transforming the core technology foundation to support global scale and growth.

Key areas included:

  • Modernization of existing infrastructure to a cloud-native architecture

  • Migration of critical workloads from legacy systems to the cloud

  • Performance optimization to address latency and response-time issues

  • Implementation of AI-powered optimization tools to improve efficiency

  • Designing a scalable, resilient platform to support global e-commerce traffic

This retail cloud infrastructure modernization program established a resilient digital backbone that could support continuous growth, seasonal demand spikes, and rapid geographic expansion.

Benefits

As a result of the transformation, the retailer achieved:

  • A modern, cloud-ready infrastructure built for scale

  • Improved agility across global e-commerce operations

  • Enhanced platform reliability during high-traffic events

  • Faster market entry enabled by a flexible technology foundation

  • Reduced reliance on legacy systems through AI-driven optimization

Impact

  • 70% of workloads migrated to a cloud-native environment

  • 50% improvement in platform response times

  • 99.99% application uptime achieved

  • 40% reduction in operational costs

  • Expansion into 3 new markets within 12 months

Beyond immediate performance and cost improvements, the modernization effort positioned the retailer for long-term digital scalability. With a cloud-native foundation in place, the organization can continuously optimize operations, launch new services faster, and respond more effectively to changing customer expectations across markets.