Category: Case Studies

Customer

Retail ERP Modernization for a Global Retailer

A global retail organization operating across multiple regions launched a retail ERP modernization initiative to streamline inventory management and improve enterprise decision-making. As the business scaled, fragmented ERP modules, manual data handling, and delayed reporting began to impact operational efficiency and customer experience. Therefore, the retailer needed a customized ERP platform that could unify core business functions and deliver real-time visibility across regions.

Business Objective

To address these challenges, the retailer set out to:

  • Streamline inventory management across multiple regions

  • Reduce manual data handling and processing delays

  • Improve decision-making with real-time operational insights

  • Achieve accurate demand forecasting to prevent stockouts and overstocking

  • Integrate critical business functions into a single, unified system

  • Enhance customer satisfaction through faster and error-free operations

Together, these objectives defined the roadmap for ERP modernization focused on visibility, accuracy, and operational efficiency.

Scope of Services

BXI Technologies partnered with the retailer to design and implement a customized ERP solution tailored to its global operations. First, the team built a modern ERP platform using SAP and Microsoft technologies to support scalability and performance. Next, the team integrated inventory, sales, and supply chain modules into a unified interface. As a result, the organization eliminated fragmented systems and reduced manual data collation.

In addition, BXI implemented AI-driven demand forecasting to improve planning accuracy and reduce inventory imbalances. At the same time, advanced analytics enabled real-time visibility into inventory levels, sales trends, and supply chain performance. As a result, the ERP platform became an end-to-end digital backbone supporting faster decisions and smoother operations.

Through this retail ERP modernization program, the organization established a unified digital backbone supporting inventory, sales, and supply chain operations.

Benefits

Following the transformation, the retailer achieved:

  • Unified inventory, sales, and supply chain workflows within a single system

  • Real-time visibility that enabled faster and more informed decisions

  • Improved demand planning accuracy through AI-driven forecasting

  • Reduced reliance on manual processes across ERP functions

  • Better synchronization between departments and regional teams

  • A stronger customer experience supported by reliable inventory accuracy

Impact

  • Consequently, the retailer achieved a 25% reduction in overall operational costs.

  • 40% improvement in customer satisfaction scores

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

Healthcare process automation was critical for this leading U.S. healthcare services provider specializing in network-enabled care delivery and point-of-care mobile applications. The organization employs 6,000+ people and supports a nationwide network of 160,000+ providers serving 100M+ patients.

Business Objective

The customer needed to:

  • Reduce turnaround time (TAT) for client-facing healthcare processes

  • Improve work quality and minimize manual error rates

  • Automate high-volume, repetitive transactions

  • Scale operations efficiently across a large provider network

  • Reduce operational cost dependency on manual work

  • Integrate multiple systems to ensure seamless data and workflow continuity

The goal was to build a scalable, AI-driven automation layer supporting large-scale clinical and administrative operations.

Scope of Services

BXI Technologies partnered with the customer to:

  • Deploy AI agentic agents to automate repetitive healthcare tasks

  • Integrate workflows across six core enterprise systems

  • Build and deploy automation across 16 end-to-end processes

  • Implement 49 production bots to minimize manual intervention

  • Standardize and streamline client-facing workflows

  • Deliver a scalable automation framework supporting 1.32M+ annual transactions

This created a centralized digital operations model that reduced process cycle time and improved SLA performance.

Benefits

The transformation delivered:

  • Significant reduction in turnaround time (TAT)

  • Improved accuracy and consistency across healthcare workflows

  • Enhanced operational efficiency with AI-driven agents

  • Better utilization of workforce through FTE savings

  • Streamlined workflows across six integrated systems

  • Improved SLA adherence for client operations

  • Automation at scale for multiple high-volume processes

Impact

  • 1,320,000+ automated transactions annually
  • 97,000+ FTE hours saved each year
  • 6 systems integrated
  • 49 production bots deployed
  • 16 processes automated end-to-end

This resulted in faster client delivery, reduced operational cost, and improved healthcare process automation at scale.

Customer

An independent U.S. healthcare services provider specializing in long-term medical plan management. The organization supports the full patient journey across multiple health stages and is led operationally by a Chief Medical Officer (CMO). Their strategic goal is to modernize care coordination and clinical decision-making through GenAI-powered multi-agent automation.

Business Objective

The client aimed to:

  • Improve efficiency across the full patient healthcare lifecycle

  • Reduce manual work during onboarding, plan creation, and plan management

  • Build a CMO Co-Pilot to support clinical decision-making

  • Enable GenAI-driven workflows for scheduling, communication, and notes

  • Enhance patient experience in long-term care environments

  • Create a scalable multi-agent framework that could evolve into a full clinical co-pilot

The goal was to establish a GenAI foundation for operational and strategic medical support.

Scope of Services

BXI Technologies partnered with the client to:

  • Design and implement a multi-agent GenAI framework

  • Create domain-specialized agents, trained using RAG on EHR and patient history data

  • Automate end-to-end workflows across:

    • Patient onboarding

    • Plan mapping and validation

    • Appointment scheduling

    • Communication workflows

    • Notes generation

  • Integrate GenAI agents with existing healthcare systems

  • Build a scalable architecture to support the future CMO Co-Pilot vision

The result is a working GenAI automation layer that streamlines patient operations and supports clinical decision cycles.

Benefits

  • Significantly faster patient onboarding and process turnaround

  • Higher accuracy in patient plan creation and management

  • More efficient appointment scheduling and operational coordination

  • Improved productivity and support for the CMO through GenAI co-pilot functions

  • Better utilization of clinical experts across the patient lifecycle

  • A strong foundation to scale into a full CMO decision-support platform

Impact

  • 99% faster patient onboarding

  • 30% more efficient appointment scheduling and plan management

  • Significant improvement in overall system efficiency and CMO utilization

Customer

Patient data summarization is critical for a healthcare organization responsible for managing large volumes of patient information, including transcriptions, diagnosis reports, and care workflows. Clinical teams rely on timely, accurate insights for decision-making while maintaining compliance with healthcare regulatory standards.

Business Objective

The customer aimed to:

  • Summarize large, fragmented patient datasets efficiently

  • Reduce manual effort spent analyzing transcriptions and medical reports

  • Improve speed and accuracy of clinical decision-making

  • Extract meaningful insights and recommendations from unstructured data

  • Enhance patient outcomes through more informed, faster decisions

  • Implement an AI-driven framework that supports clinical teams while maintaining compliance

Scope of Services

BXI Technologies partnered with the client to:

  • Implement intelligent patient data summarization using advanced LLMs

  • Automate extraction of key medical insights from transcriptions and diagnosis reports

  • Build an AI-driven recommendation engine suggesting next steps in the care journey

  • Ensure outputs maintain clinical relevance and meet regulatory accuracy standards

  • Deliver structured, ready-to-use insights to physicians and care coordinators

Benefits

  • Faster and more accurate interpretation of patient data

  • Reduced manual review effort for clinicians

  • Improved decision-making with AI-driven recommendations

  • Clearer, summarized insights for stronger care coordination

  • Better alignment to regulatory standards through structured outputs

  • Higher-quality clinical outcomes with data-driven assistance

Impact

  • 75% improvement in patient data insight quality

  • 65% faster clinical decision-making

  • 55% better clinical outcomes

 

Customer

Intelligent clinical documentation enabled the transformation of clinical productivity for an Indian healthcare provider managing high documentation workloads.

Business Objective

Reduce Documentation Burden:
Lower clinician documentation time per patient encounter to improve overall clinical productivity.

Enhance Provider Well-Being & Reduce Burnout:
Address high burnout levels (75%) by introducing AI-enabled tools that streamline administrative tasks.

Improve Quality of Care & Patient Experience:
Free up clinician time for patient interaction, improving satisfaction scores and clinical outcomes.

Scale Operational Efficiency Across Global Operations:
Deploy digital productivity solutions that reduce operational waste, enhance throughput, and scale across regions.

Enable Sustainable Growth:
Use productivity gains to support higher patient volumes, increase revenue per clinician, and expand value-added services.

Scope of Services

BXI Technologies partnered with the healthcare provider to implement an intelligent clinical documentation solution powered by advanced AI and workflow automation. The engagement focused on:

  • Automating clinical note creation and documentation tasks

  • Integrating AI-driven summarization into existing EMR workflows

  • Supporting clinicians across 16 specialties

  • Measuring impact on productivity, experience, and patient satisfaction

  • Enabling scalable deployment and operational readiness across global locations

Benefits

  • Productivity Gains: Reduced clinician documentation time and improved workflow efficiency.

  • Enhanced Provider Experience: Significant reduction in burnout and administrative load.

  • Financial Optimization: Increased capacity, improved provider throughput, and measurable cost savings.

  • Higher Patient Satisfaction: More clinician–patient interaction time and improved experience metrics.

  • Scalability & Future-Readiness: Foundation set for multi-specialty, multi-region expansion.

Impact

  • 50% of employed clinicians across 16 specialties are now using the solution.

  • The organization achieved the 50th percentile for documentation burden, reducing documentation time by 34 minutes per provider per day.

  • 72% of clinicians reported increased enjoyment of practice.

  • 79% reported improved documentation efficiency.

  • 85% expressed a preference to continue using the intelligent documentation solution.

  • Higher patient satisfaction observed among clinicians with ≥60% utilization.

  • Estimated annual cost savings of $3 million driven by productivity improvements.

Customer

Digital Twin–Enabled Scale-Up Acceleration for a Global Industrial Manufacturer
A multinational industrial manufacturing company operating complex production lines across multiple regions. The organization faced recurring delays, late-phase quality failures, and unpredictable performance during scale-up of new or modified production lines. To avoid costly capex overruns and ensure smoother commissioning, the company needed a digital-twin-driven approach that could validate behavior, simulate risks, and align engineering and operations before physical deployment.

Business Objective

The customer aimed to:

  • Minimize execution and quality risks during production scale-up

  • Validate production behavior virtually before real-world deployment

  • Avoid costly capital expenditure overruns caused by late-stage failures

  • Improve predictability of throughput, load, and quality metrics

  • Strengthen collaboration between engineering, operations, and process teams

  • Accelerate production readiness with higher confidence

Scope of Services

BXI Technologies delivered an end-to-end digital-twin modernization program, which included:

  • Production line scale-up planning and quality-risk assessment

  • Integration of a full digital twin environment mirroring physical production systems

  • Operational risk modeling and scenario simulation for “what-if” analysis

  • Validation of throughput, load, and equipment behavior prior to deployment

  • Cross-functional alignment between engineering and operations to ensure shared visibility and decision-making

Benefits

  • Early detection of quality risks before physical trials

  • Stronger collaboration between engineering and operations teams

  • Reduction in rework cycles and scale-up delays

  • Higher confidence in capex decisions backed by virtual validation

  • Improved readiness of production teams prior to real-world execution

Impact

  • 35–45% reduction in scale-up execution risk

  • 30–40% fewer quality defects during initial production runs

  • 25–35% faster production ramp-up time

Customer

Marketing Intelligence Transformation for an APAC-based Investment Bank enabled the organization to modernize its marketing ecosystem, unify customer intelligence, and unlock scalable digital growth across its business lines.

Business Objective

Strengthen Marketing Productivity & Efficiency

The bank needed to reduce manual effort, eliminate redundant tools, and streamline orchestration across all marketing teams and channels.

Deliver Personalized, Insight-Driven Customer Experiences

AI and ML capabilities were required to tailor content, predict customer needs, and increase engagement across email, mobile, web, and relationship manager interactions.

Create a Unified Customer View

Multiple business lines held siloed customer data. The organization needed a consolidated intelligence layer that offered a single, actionable view of the customer.

Optimize Cost-to-Serve

The MarTech ecosystem had become costly and complex. Rationalization and automation were essential to improving operational margins.

Enable Sustainable Digital Growth

The bank aimed to scale digital-first products, improve acquisition, boost conversions, and build a long-term digital marketing foundation.

Scope of Services

MarTech Rationalization & Integration

  • Consolidated overlapping platforms and tools across business units
  • Designed a unified architecture for marketing, data, and analytics
  • Standardized workflows and governance to strengthen operational maturity

AI/ML-Led Marketing Intelligence

  • Implemented predictive models for audience segmentation and targeting
  • Built recommendation engines for personalized content and offers
  • Enabled intelligent decisioning to optimize customer journeys

Omnichannel Customer Journey Automation

  • Automated engagement across email, mobile app, website, and RM channels
  • Activated next-best-action triggers to increase personalization and responsiveness
  • Streamlined campaign setup and execution across business lines

Unified Customer Data Foundation

  • Developed a 360° customer profile integrating behavioral, transactional, and demographic data
  • Implemented data governance, quality rules, and scalable ingestion pipelines
  • Improved visibility for marketing, sales, and product teams

Performance Tracking & Growth Analytics

  • Built real-time dashboards for campaign performance and funnel metrics
  • Enabled revenue uplift, conversion tracking, and cost-efficiency analysis
  • Created standardized measurement models across regions

Benefits

Productivity Gains

Reduced manual marketing operations and improved speed of execution.

Enhanced Quality of Customer Interactions

More relevant, timely, and personalized engagement across customer journeys.

Higher Conversion & Engagement

AI-driven segmentation and personalized offers improved marketing effectiveness.

Cost Optimization

Tool consolidation and smarter automation significantly reduced cost-to-serve.

Revenue Growth

Improved targeting and cross-channel personalization drove measurable financial impact.

Impact

  • 9% revenue uplift opportunity identified through personalized engagement
  • Over $100M+ potential in cost savings from platform rationalization and operational efficiencies

Customer

Supply Chain Modernization for a Multinational Automotive Manufacturer

Business Objective

The customer aimed to:

  • Stabilize supply chain operations impacted by volatility and supplier inconsistency

  • Improve real-time visibility across procurement, warehousing, and logistics

  • Enable predictive analytics to anticipate delays and disruptions

  • Reduce manual decision-making through AI-driven automation

  • Strengthen supplier evaluation and risk-scoring frameworks

  • Accelerate procurement and logistics execution with higher accuracy

Scope of Services

BXI Technologies delivered an end-to-end AI-enabled supply chain modernization program:

Agentic AI Deployment

  • AI agents for supplier conversations, clarifications, and exception handling
  • Automation of routine supply chain decisions

Predictive Intelligence

  • Models to forecast demand fluctuations, delays, and disruption risks
  • Predictive alerts for early intervention

Unified Visibility Layer

  • Real-time dashboards integrating procurement, logistics, warehouse, and supplier data
  • Cross-site operational visibility to reduce blind spots

Supplier Performance & Risk Management

  • AI-driven supplier risk scoring and performance evaluation
  • Structured insights for improved sourcing decisions

Operational Optimization

  • Faster, more accurate procurement actions
  • Automated issue detection and mitigation workflows

Benefits

  • Real-time visibility across procurement, logistics, and supplier operations

  • Predictive analytics enabling early detection of operational risks

  • Centralized dashboards reducing fragmentation across sites

  • Automated alerts replacing manual monitoring

  • Improved supplier evaluation with consistent AI-driven scoring

  • Faster decision-making powered by intelligent recommendations

  • Proactive disruption mitigation, minimizing operational impact

  • Reduced friction across procurement and logistics teams

  • Stronger coordination between suppliers, warehouses, and logistics partners

Impact

  • 28% reduction in supply chain delays through predictive alerts and early interventions

  • 35% improvement in procurement accuracy with AI-driven recommendations

  • 22% reduction in logistics costs through optimized routing and reduced last-minute changes

  • 40% faster response time to disruptions enabled by real-time visibility

Customer

IT/OT Cost optimization for a Global Automotive Leader
A multinational automotive manufacturer operating across multiple continents, managing complex production environments with deeply integrated IT and OT systems. With thousands of applications across plants, engineering units, and business functions, the organization faced rising operational costs, system complexity, and aging legacy platforms. The customer required a unified and scalable modernization approach to streamline their global technology landscape while maintaining the reliability of mission-critical automation.

Business Objective

The customer aimed to:

  • Reduce rapidly rising IT/OT operational costs without disrupting factory automation

  • Standardize, consolidate, and streamline applications across plants and global regions

  • Replace legacy, high-maintenance systems with modern low-code/no-code (LCNC) platforms

  • Improve system reliability and accelerate change management cycles

  • Strengthen cross-functional governance between Finance, Sourcing, and IT for spend control

Scope of Services

BXI Technologies delivered a global modernization and cost-optimization program:

Application Portfolio Assessment

  • End-to-end evaluation of IT and OT applications across all plants
  • Identification of redundant, obsolete, and underutilized systems

AI-Led Transformation Planning

  • AI-driven mapping of migration and upgrade paths
  • Consolidation strategy for low-code/no-code platforms

Application Modernization via SmartDev

  • Rationalization and modernization of legacy applications
  • Migration to LCNC platforms for faster, more cost-effective delivery

Finance & Sourcing Integration

  • Joint cost governance framework established
  • Contract optimization and license rationalization

Operational Streamlining

  • Removing application sprawl
  • Standardizing automation workflows across plants

Benefits

  • Significant reduction in IT/OT operational costs

  • Faster deployment cycles using LCNC platforms

  • Reduced dependency on traditional development and legacy vendors

  • Improved visibility and control over application sprawl and licensing

  • More reliable automation environment with fewer failures and downtime

  • Stronger partnership between IT, Finance, and Sourcing for continuous optimization

Impact

  • 25–35% reduction in total IT/OT application costs through consolidation

  • 40–50% faster rollout of new automation workflows via LCNC platforms

  • Up to 30% reduction in infrastructure footprint and recurring hosting costs