Technology Brilliance

Introduction

A pricing optimization platform is essential for automotive enterprises to improve pricing accuracy and respond quickly to market dynamics. A global consulting firm, working with an automotive client, faced challenges in leveraging existing data for real-time pricing decisions. The lack of advanced analytics limited responsiveness to cost and demand changes. By implementing a pricing optimization platform on AWS and Snowflake, the organization enabled data-driven pricing strategies, improved decision speed, and maximized the value of its enterprise data lake.

Customer

A global consulting firm delivering a pricing optimization solution for an Automotive industry client using an existing enterprise data lake.

Business Objective

  • Enable advanced pricing optimization for automotive use cases
  • Leverage existing data lake without disruption
  • Improve pricing accuracy and responsiveness
  • Support data-driven pricing decisions at scale
  • Integrate pricing analytics into enterprise workflows

Scope of Services 

  • Design of pricing optimization models on existing data lake
  • Integration with sales, cost, and market data
  • Enablement of analytics workflows for pricing intelligence
  • Deployment on Amazon Web Services and Snowflake
  • Optimization for performance and scalability

Benefits 

  • Improved pricing accuracy using data-driven models
  • Faster pricing analysis and decision-making
  • Better utilization of existing data lake investments
  • Scalable analytics supporting automotive use cases
  • Strong foundation for advanced analytics

Impact

  • Enhanced pricing intelligence for automotive operations
  • Improved efficiency in pricing decisions
  • Increased agility in responding to market changes

Introduction

A rate quote issue platform is critical for insurers to deliver fast, accurate, and scalable policy issuance. A large insurance carrier offering specialty and standard commercial lines struggled with legacy systems that slowed quoting, reduced accuracy, and limited responsiveness to brokers. By modernizing its rate quote issue platform on AWS, the organization improved operational speed, streamlined underwriting integration, and created a scalable foundation for future insurance product innovation and growth.

Customer

A large insurance carrier providing specialty and standard commercial insurance products.

Business Objective

  • Modernize core quoting and issuance capabilities
  • Improve speed and accuracy of quote generation
  • Enable scalable policy issuance
  • Support diverse insurance product lines
  • Enhance responsiveness to brokers and customers

Scope of Services – RQI Platform Modernization

  • Design and implementation of a cloud-native platform
  • Enablement of rating and quoting workflows
  • Integration with underwriting and policy systems
  • Deployment on Amazon Web Services
  • Optimization for performance, scalability, and reliability

Benefits of Modernized Insurance Platform

  • Faster quote turnaround and improved response time
  • Better pricing accuracy and consistency
  • Reduced dependency on legacy systems
  • Scalable architecture supporting business growth
  • Improved efficiency across sales and underwriting teams

Impact

  • Accelerated new business processing cycles
  • Improved broker and customer experience
  • Increased agility in launching and scaling insurance products

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

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