Archives: Casstudies

TCO Calculator

SUCCESS STORY TCO Calculator Modernizing and Stabilizing FUSO’s EV Total Cost of Ownership Platform Through Continuous Innovation and Operational Excellence Company Name FUSO Industry Automotive Impact Improved platform reliability, scalability, and dealership adoption Application TCO Calculator Background FUSO developed the TCO Calculator as a strategic sales enablement platform to help dealership teams demonstrate the long-term cost benefits of eCanter electric vehicles compared to diesel alternatives. The platform supports data driven customer discussions by analyzing ownership costs across fuel, maintenance, taxation, subsidies, and vehicle lifecycle factors. As the platform evolved, operational challenges, data maintenance issues, and system reliability concerns began impacting user confidence, creating a need for platform stabilization, optimization, operational long-term and governance. Challenges Faced Business Challenges Loss of Dealer Confidence and Platform Adoption Persistent performance issues, system instability, and unresolved incidents reduced dealership trust in the platform, limiting its effectiveness during customer sales interactions. Inaccurate and Outdated Cost Data The platform relied on frequently changing fuel prices, electricity rates, subsidies, and taxation parameters, creating challenges in maintaining accurate and reliable TCO calculations Limited Governance of Business Changes The absence of a structured process for managing pricing updates, regulatory changes, and enhancement requests delayed business responsiveness and platform evolution. Operational Inefficiencies and Support Gaps Lack of SLA-driven support, transparent communication, and incident governance created around uncertainty resolution and platform reliability. issue Scalability and Cost Management Concerns The platform needed to support future growth in dealership usage while controlling costs and infrastructure maintaining performance. Technical Challenges Legacy Application Stabilization Taking ownership of a legacy application with limited incidents, unresolved documentation, and accumulated technical debt required a comprehensive audit and remediation effort. Performance and Reliability Constraints Application instability, upload failures, and inconsistent performance negatively impacted user experience and operational efficiency. Data Accuracy and Maintenance Complexity Maintaining accurate cost models required robust processes for updating and validating multiple external data points impacting TCO calculations. Cloud Infrastructure Optimization The Azure environment required resource optimization and governance improvements to balance performance, scalability, and cost efficiency. Monitoring and Operational Readiness The platform lacked proactive monitoring, structured incident management, and preventive capabilities maintenance enterprise-scale for necessary operations. Solutions Cubastion took ownership of the TCO Calculator as the primary technology and AMS partner – conducting a full stabilization and audit on handover, followed by structured enhancement cycles and a long-term AMS framework – operating on the platform’s existing Azure stack (React JS frontend, .NET Core backend, Azure SQL, Azure Key Vault, Azure Front Door, and Azure App Insights). Platform Stabilization and Reliability Improvement Cubastion conducted a comprehensive platform assessment, resolved inherited established issues, a stable operational baseline, and improved overall system reliability to restore business confidence. Data Accuracy and Business Rule Governance Structured processes were implemented to manage fuel prices, electricity rates, subsidies, vehicle specifications, and regulatory parameters, ensuring accurate and up-to-date cost simulations. User Experience and Sales Enablement Enhancement The platform experience was refined through improvements to simulation workflows, reporting capabilities, administration functions, and overall usability, enabling more effective customer-facing sales discussions. Cloud Infrastructure Optimization and Scalability Azure resources were optimized and restructured to improve operational efficiency, reduce infrastructure costs, and support future growth without proportional increases in spending. Operational Governance and Change Management A structured framework for incident management, change requests, prioritization, deployment, testing, and communication was established to improve transparency and responsiveness. Enterprise AMS and Continuous Improvemen A proactive support model was introduced encompassing monitoring, SLA governance, preventive maintenance, root cause analysis, and continuous platform enhancement. Download Full Case Study Business Outcome Infrastructure Cost Optimization 25% Reduction in Azure infrastructure TCO through resource optimization and architectural improvements. Platform Scalability Enhancement 3X Increase in platform scalability without proportional growth in infrastructure costs. Storage Cost Optimization 35% Reduction in storage costs through lifecycle management and optimized cloud storage strategies. AMS Efficiency Improvement 30% Reduction in annual maintenance effort through proactive monitoring and structured support processes. Reduced Manual Support Dependency 80% Reduction in manual intervention required for upload failures and recurring operational issues. Data Accuracy and Platform Reliability 24×7 Continuous monitoring, ensuring accurate cost calculations & uninterrupted platform availability.

PODHUB

SUCCESS STORY PODHUB Modernizing and Scaling FUSO’s Centralized Vehicle Information Platform Product Through Innovation and Continuous Support Company Name FUSO Industry Automotive Impact Enabling Real-Time Product, Sales, and Market Intelligence Through a Unified Digital Platform Application PODHUB Background FUSO, the commercial vehicle brand under Daimler Trucks Asia, relied on PODHUB as its internal platform for managing vehicle product data, sales manuals, market information, and change requests across business teams. Despite its broad functional scope, the platform suffered from low user adoption due to slow performance, poor usability, missing capabilities, and an over provisioned Azure infrastructure that generated high operational costs. As a result, teams increasingly depended on manual processes and disconnected tools instead of using the platform effectively. Cubastion was engaged to revitalize PODHUB by improving platform usability, performance, and scalability while optimizing the Azure cost footprint. The engagement also included developing missing business-critical modules, streamlining and workflows, establishing structured AMS support to ensure the platform remained stable, reliable, and continuously evolving to support FUSO’s operational needs. Challenges Faced Business Challenges Low User Adoption and Business Engagement Despite being positioned as the central platform for vehicle product information, sales manuals, and market data, PODHUB experienced low adoption across business teams. Users continued to rely on spreadsheets, emails, and disconnected tools due to usability limitations and lack of critical functionality. Limited Business Intelligence and Decision Support The platform lacked key capabilities required for sales analysis, market intelligence, vehicle modification management, and 3D asset workflows, restricting its ability to support data-driven business decisions and cross-functional collaboration. Inefficient Workflow and Change Request Management The existing SODA process lacked comprehensive approval workflows, real time visibility, automated notifications, and auditability, resulting in manual effort, delayed approvals, and reduced operational efficiency. High Operational Costs with Limited Business Value PODHUB’s Azure infrastructure costs were disproportionately high compared to platform utilization and business value realization, creating concerns around long term sustainability and return on investment. Lack of Operational Governance and Reliability The absence of structured monitoring, incident management, and governance processes led to reactive issue handling, reduced platform reliability, and declining user confidence. Technical Challenges Performance and Scalability Bottlenecks Critical performance issues, including API response times of up to 8 seconds and slow dashboard rendering, negatively impacted user experience and limited platform scalability. Large File Management Limitations The platform was unable to reliably support large document, media, and product creating uploads, asset challenges operational for content administrators responsible for maintaining vehicle-related information. Integration of New Business Capabilities into a Live Platform Multiple new modules needed to be developed and integrated within an active production environment while ensuring uninterrupted business operations and maintaining compatibility with existing workflows. Data Consistency and Cross System Synchronization Maintaining accurate and synchronized product information across PODHUB and integrated enterprise systems required stronger validation controls, governance mechanisms, and data quality processes. Monitoring, Security, and Support Framework Establishment The platform lacked proactive monitoring, structured incident management, auditability, and operational support processes for necessary enterprise-scale operations. Solutions Cubastion designed, developed, and continues to manage PODHUB – a comprehensive Azure-hosted platform built on a React frontend, .NET backend technologies. The solution covers three dimensions: the core platform with its modules, ongoing enhancements, and a structured AMS framework. Platform Modernization and Experience Transformation Cubastion modernized PODHUB to improve usability, performance, and scalability, transforming it from a low adoption platform into a reliable business application. User journeys were streamlined, workflows and simplified, system responsiveness significantly improved to encourage broader adoption across sales, product, and business teams. Expansion of Business Capabilities To increase the platform’s strategic value, Cubastion expanded PODHUB beyond product information management by introducing capabilities supporting sales intelligence, market vehicle analysis, modification processes, digital asset management, and change request governance. This enabled PODHUB to evolve into a comprehensive business and collaboration information platform. Workflow Automation and Process Governance Business-critical workflows were standardized automated and through enhanced approval processes, notification mechanisms, audit trails, and management dashboards. This improved visibility, reduced manual effort, and strengthened governance across change management and operational processes. Performance Engineering and Scalability Enhancement A comprehensive performance optimization initiative was undertaken across application, database, and infrastructure layers. Through query optimization, caching strategies, and architectural improvements, platform responsiveness was significantly enhanced, enabling efficient processing of large data volumes and supporting future growth. Cloud Infrastructure Optimization Cubastion conducted a detailed assessment of the Azure landscape and implemented infrastructure rightsizing, environment optimization, and resource rationalization measures. This reduced operational costs while maintaining system stability, availability, and performance. Enterprise Application Management and Operational Excellence A structured AMS framework was established to ensure long term platform reliability. This included proactive monitoring, SLA-driven incident management, root cause analysis, security controls, data quality governance, and continuous improvement processes, enabling PODHUB to operate as a stable and trusted enterprise platform. Download Full Case Study Business Outcome Azure Infrastructure Cost Optimization 55% Reduction in Azure storage, compute, and network costs through infrastructure rightsizing and optimization API Performance Acceleration 75% Improvement in average API response times, reducing latency from 8 seconds to 2 seconds. Dashboard Performance Enhancement 60% Faster dashboard loading and data retrieval, enabling quicker access to business-critical information. Workflow Efficiency Improvement 70% Reduction in manual approval effort through automated workflows, notifications, and governance controls. Large File Management Enablement 1 GB File upload capability introduced with reliable processing and minimal upload failures. Platform Reliability & Operational Excellence 24×7 Proactive monitoring and AMS support ensuring stable platform operations and rapid issue resolution.

Integrated Customer Database (ICDB)

SUCCESS STORY Integrated Customer Database (ICDB) A centralized customer data platform delivering a unified and business-ready Data Mart. Company Name Hyundai Industry Automotive Impact Enterprise-Wide Customer Data Governance and Deduplication Platform Application Hyundai Platforms Background Hyundai Motor India operates one of the largest automotive customer databases in the country, with customer data flowing in from multiple channels – dealer management systems, call centres, connected car services, e-commerce platforms, and web portals. Over 18 years of operations, this data had accumulated across six separate, non-interconnected systems: NDMS (New Dealer Management System), GCRM (Global CRM), AWS (Alexa/Amazon integration), Blue Link (connected car platform), the MyHyundai App, and CTB (Click to Buy portal). Each system created its own customer records independently, resulting in widespread duplication – the same customer appearing multiple times across platforms with slightly different data. With the impending expiration of Hyundai’s Siebel CRM license and a planned migration to Salesforce, the bloated, redundant data posed a serious financial and operational risk: Salesforce licensing and storage costs are tied to the volume of records, making deduplication prerequisite. a Cubastion, as a trusted data and CRM implementation partner, identified the need for a purpose-built solution that could aggregate, cleanse, deduplicate, and standardize this data before Salesforce migration — and sustain clean data flows on an ongoing basis thereafter. Challenges Faced Business Challenges Data Redundancy Across Systems Data redundancy across six non interconnected systems – the same customer appearing with multiple entries across dealerships, web portals, and call centres Lack of Unified Customer Data Source Absence of a single source of truth for customer data, with records for the same individual scattered across customer, invoice, leads, and service tables in separate systems Rising Data Storage Costs High and growing storage costs driven by data duplication, compounded by the impending move to Salesforce where per record costs are significant Limited Reporting & Analytics Flexibility Inflexible, slow reporting in the existing Siebel/OBIEE environment – limiting the business’s ability to generate custom KPI reports and campaign analytics Non-Standardized Data Structure No standardized data template to align Hyundai India’s data with Salesforce’s global schema requirements Technical Challenges Unified Multi-Source Data Ingestion Designing a unified ingestion and deduplication pipeline across six structurally different source systems – Oracle-based (NDMS, GCRM) and web/ cloud-based (AWS, Blue Link, MyHyundai, CTB) Duplicate Customer Resolution Engine Building Python based customer identification logic capable of resolving duplicate identities across 85 million records with varying data quality and formats Scalable Three-Layer Data Architecture Architecting a three-layer data pipeline (Data Lake → Data Warehouse → Data Mart) within MariaDB while keeping daily incremental processing under a two-hour window Real-Time & Batch Data Integration Developing 80+ APIs via web Methods and 150+ PL/SQL procedure logics to handle real-time and batch data transmission without disrupting source system operations High-Accuracy Data Deduplication Ensuring 80%+ deduplication accuracy on daily runs while maintaining a monthly full deduplication cycle for complete data integrity Solutions Cubastion designed and implemented the Integrated Customer Database (ICDB) – a comprehensive data aggregation, transformation, and governance platform built on MariaDB, using Enterprise Application Integration (EAI) via webMethods to ingest data from all six source systems and a three-layer processing architecture to deliver a clean, Salesforce-ready Data Mart. Multi-Source Data Aggregation Structured webMethods to accommodate all six source systems – NDMS, GCRM, AWS, Blue Link, MyHyundai App, and CTB – with 80+ APIs developed for seamless, real-time data transmission into ICDB. Three-Layer MariaDB Architecture Data flows through a Data Lake (raw consolidated ingestion), Data Warehouse (cleansing, standardization, and entity relationship mapping), and Data Mart (final deduplicated, – tables) business-ready progressive structured, ensuring refinement. Python-based Customer Deduplication Engine A custom Python identification logic maps and resolves duplicate customer records across all source systems – reducing 85 million entries to 45 million unique, verified customer records. Automated Daily Incremental Processing With 150+ procedure logics and 150 entities updated daily, the full incremental data pipeline completes within two hours – ensuring the Data Mart stays current without manual intervention. Salesforce-Ready Data Mart A standardized global template covering customer, services, invoice, and leads entities – each linked to a unique customer identifier – aligned to Salesforce’s schema for clean, cost efficient migration and ongoing CRM sync. Enhanced Reporting & Analytics Salesforce integration, combined with the optimized Data Mart, delivers significantly faster KPI report generation compared to the legacy OBIEE environment – enabling custom campaign analytics and business insights on demand. Download Full Case Study Business Outcome Data Consolidation 47% reduction in customer records Data Accuracy & Governance 90%+ data accuracy achieved Workflow Automation 90% automation of data & transformation workflows Performance Improvement 80% reduction in data processing latency Operational Cost Savings 50% labor cost savings Rework Reduction 20–30 hrs/month saved Infrastructure Optimization 75–80% overall operational savings System Reliability 99%+ system uptime delivered

Service Training Module

SUCCESS STORY Service Training Module Empowering Enterprise by Maximizing Competitiveness and Client Satisfaction Through Integrated Customer Data Company Name Hyundai Industry Automotive Impact Digitized dealer training workflows within GDMS for better efficiency and visibility Application Service Training Module Background Hyundai AutoEver India Limited (HAEI) – the IT implementation arm responsible for GDMS – manages service training programs across a wide network of Hyundai dealerships. These programs include technical certifications and non-technical courses that determine the skill readiness of service employees across regions. Prior to this implementation, the entire training process operated outside GDMS – relying on offline channels, physical attendance sheets, paper-based exam records, and scattered Excel files. With no system-driven eligibility logic or course-to-employee mapping, tracking workforce readiness was labor-intensive, error-prone, and opaque. fragmentation, Cubastion, as HAEI’s technology implementation partner for GDMS, identified the opportunity to bring the full training lifecycle into the system – eliminating improving data accuracy, and giving all stakeholders real-time visibility into training operations. Challenges Faced Business Challenges Manual Training & Attendance Tracking Manual tracking of nominations, attendance, and exam results across Excel sheets and paper records – resulting in data errors and lack of reliable historical data Lack of Centralized Training Visibility No centralized visibility for administrators and dealers into employee training status, eligibility, or progression Manual Employee Nomination Process Absence of a nomination engine led to manual, often incorrect selection of employees – irrespective of prerequisite completion No Course-to-Employee Mapping No course-to-employee mapping in the system, making long-term performance tracking nearly impossible Poor Stakeholder Coordination Poor coordination among trainers, business users, and dealers due to the absence of a shared real-time platform Lack of Dealer Accountability Mechanism No structured mechanism to impose penalties on dealerships for employee absenteeism, reducing accountability Technical Challenges Live GDMS Workflow Integration Integrating a new training workflow into an existing, live GDMS environment without disrupting dealer operations Eligibility-Based Auto-Nomination Engine Designing and implementing an eligibility based auto-nomination engine with complex business rule logic Automated Attendance Penalty Calculation Building an automated default debit calculation system tied to attendance records Digital Adoption of Offline Processes Driving user adoption from entrenched offline processes to a fully digital module Phased Rollout Without Operational Disruption Ensuring phased deployment without impacting ongoing training programs Solutions Cubastion designed and deployed the Service Training Module as a fully integrated enhancement within GDMS – covering the complete training lifecycle without requiring any external applications or third-party tools. Course Management Admins can create and configure technical and non-technical courses, define prerequisites, capacity, and target audience – with each course logically mapped in the system to track employee participation and history. Batch Scheduling & Management Trainers can schedule batches against defined courses, setting dates, venues, capacity, and trainer details – all visible to stakeholders through a calendar dashboard. Eligibility-Based Auto-Nomination A backend nomination engine automatically shortlists qualified employees based on business-defined criteria such as prior course completion and exam scores – eliminating manual selection and ensuring the right candidates attend the right training. Attendance Tracking Daily attendance is captured within the system by trainers, providing real-time participation visibility to dealers and administrators. Result & Performance Management Exam scores, pass/fail status, and trainer remarks are recorded in the system, enabling long-term employee performance tracking against training roadmaps. Default Debit Handling When nominated employees are absent without valid reason, the system automatically calculates and imposes a financial debit on the respective dealership – driving accountability and discipline around training participation. Calendar-Based Dashboard A visual calendar interface allows admins, trainers, and dealers to view upcoming, ongoing, and completed batches – enabling proactive planning and capacity management. Download Full Case Study Business Outcome Work – load Automation 90% reduction in trainer workload Training Visibility 100% visibility of course, attendance, and result Training Efficiency 75% improvement in training efficiency Absenteeism Control 100% reduction in absenteeism Aadhaar Verification 80,000+ profiles verified across dealerships Workforce Optimization 25% reduction in unwanted manpower Training Growth 35% increase in training volumes Batch Utilization 30% achieved nominee replacement

Driving Operational Excellence in Automotive Workshops with a Unified Digital Platform

SUCCESS STORY Driving Operational Excellence in Automotive Workshops with a Unified Digital Platform Digitizing intake, execution, and governance to enable scalable and efficient service operations. Company Name Cubastion Industry Automotive Impact From Reactive Workshops to Predictive, Capacity-Driven Operations Application Web Application Background In the automotive industry, workshop efficiency directly influences business performance. Every delayed vehicle delivery impacts customer satisfaction. Every idle bay or overbooked stall affects revenue. Every misaligned technician assignment increases rework and cost. As service complexity increases – with advanced vehicle diagnostics, long-duration repairs, parts dependencies, and multi-stage approvals workshops must coordinate mechanics, supervisors, planners, and support teams across constrained physical capacity. What was once manageable through whiteboards, spreadsheets, and verbal coordination becomes increasingly fragile as service volumes grow. The need for structured, real-time operational visibility becomes not just beneficial – but critical. Recognizing this shift, the modernization initiative was designed to unify fragmented workshop processes into a single, enterprise-grade digital framework – enabling structured intake planning, real-time execution tracking, and governance driven oversight. Challenges Faced As automotive service volumes increased and vehicle repair complexity evolved, workshop operations began experiencing systemic strain. What once functioned through manual coordination and experience-driven planning became increasingly fragile in high-volume, multi-bay service environments. Inefficient Intake Planning & Scheduling Lack of real-time validation of bays, stalls, and technician capacity led to overbooking during peak hours and underutilization during slower periods. Fragmented Workflow Execution Manual coordination and experience driven planning caused inconsistencies, delays, and conflicts between long duration and quick-service jobs. Limited Real-Time Visibility Inadequate visibility into ongoing work increased dependency on manual follow-ups and reduced operational control. Data Silos & Synchronization Issues Lack of integration across systems resulted in duplicate data, inconsistencies, and increased reconciliation effort. Manual & Error-Prone Processes Heavy reliance on manual data entry led to inefficiencies, errors, and reduced productivity. Delayed Issue Identification Capacity risks and service delays were often identified late, impacting delivery timelines and customer satisfaction. Customer Experience Challenges Service delays and lack of transparency resulted in increased customer dissatisfaction and escalations. Operational Inefficiencies & Imbalances Reactive execution led to workload imbalances, higher overtime, and reduced technician productivity. Limited Scalability & Governance Scaling operations required proportional increases in manpower, with limited governance, audit visibility, and process control. Solutions Service Operations Modernization: At the service layer, Cubastion transforms how workshops manage vehicle intake, planning, and execution. The platform introduces: 1. Structured, capacity-based intake planning instead of manual scheduling 2. Real-time bay and stall visibility to prevent overbooking 3. Intelligent workload distribution across technicians 4.Reduced same-day intake reshuffling 5. Proactive detection of service delays This enables workshops to improve service turnaround, increase daily throughput, and enhance on-time vehicle delivery without increasing operational strain. Technical Operations Optimization: At the technical execution level, Cubastion digitizes and standardizes the complete Job Card lifecycle and technician workflow. Key capabilities include: 1. Automated Job Card synchronization across systems 2. Skill-based job assignment aligned with technician capability 3. Real-time tracking of in-progress, pending, and completed jobs 4. Reduced manual data entry and reconciliation effort 5. Audit-ready traceability of actions and updates By minimizing skill mismatches and eliminating duplicate updates, technical teams operate with higher productivity, lower error rates, and improved execution consistency. Business & Operational Governance Enablement: Beyond workshop execution, Cubastion strengthens enterprise-level control and decision-making. The platform provides: 1. Centralized performance dashboards for service volume, capacity, and delays 2. Early detection of intake overload and capacity risks 3. Role-based access controls and digital audit trails 4. Reduced disputes through transparent data alignment 5. Faster management reviews through centralized reporting This allows automotive enterprises to scale service operations across multiple outlets while maintaining governance, accountability, and performance visibility. Enterprise Outcome: By integrating service, technical, and business operations into a unified digital framework, Cubastion enables automotive organizations to: 1. Support higher service volumes without proportional expansion 2. Improve operational efficiency and throughput 3. Reduce manual coordination and reactive execution 4. Strengthen governance and data consistency 5. Build a scalable foundation for future intelligent automation Cubastion does not simply digitize workshops it establishes a structured, data-driven operating model that aligns frontline execution with enterprise performance objectives. Download Full Case Study

AMS

SUCCESS STORIES AMS Comprehensive AMS Support For Enhanced System Reliability and Performance Company Name Cubastion Industry AMS Location India Background Cubastion Consulting, with 17+ years in digital transformation, enhances customer, employee, and partner experiences while improving operational efficiency across industries like automotive, communications, financial services, and consumer durables. We modernize business processes through integrated infrastructure, applications, and operations, using a customer-centric approach and data science. Our services include digital transformation, customer experience management, operational optimization, analysis and forecasting with Power BI, Salesforce, and Tableau, and comprehensive integration services. Challenges Faced Managing High Volume of Incidents and Recurring Issues The inability to efficiently manage and resolve incidents leads to prolonged downtimes, negatively affecting business operations and user satisfaction. Recurring issues increase maintenance costs and drain resources. Implementing Changes and Releases Without Disruptions Poorly managed changes cause unplanned downtimes, cause performance issues, and system instability, affecting application user and reliability satisfaction. Maintaining Consistent Application Performance and Configurations Performance configuration bottlenecks errors degrade and user experience and business processes, while lack of proactive monitoring leads to unnoticed issues escalating into major problems. Our Approach Comprehensive Resource Analysis To align team capacity with operational demands by reviewing resource allocation across AMS CR, incident management, and service requests by analysing and identifying significant resource drains. This provides a clear baseline for resource utilization and highlighted areas requiring additional support. Automation Strategy Optimised resource allocation by automating repetitive service requests and reducing manual workloads. The approach involves analysing historical ticket data to identify recurring requests suitable for automation, developing and implementing automation tools, and deploying them after thorough testing. Cross Training Strategy To align team capacity with operational demands by reviewing resource allocation across AMS CR, incident management, and service requests by analysing and identifying significant resource drains. This provides a clear baseline for resource utilization and highlighted areas requiring additional support. Predictive Modelling & Capacity Planning To anticipate future support needs and align resources with expected demand. Key actions include developing a predictive model using historical ticket data to estimate future ticket volume and classification and adjusting resource allocation based on these insights to prepare for challenges. Download Full Case Study

Airtel Enterprise Digital Transformation

IMPACT STORIES Airtel Enterprise Digital Transformation Empowering Enterprise by Maximizing Competitiveness and Client Satisfaction Through Integrated Customer Data Company Name Airtel Bharti Industry Telecom Impact Enhanced Data Consolidation Application Efficient, Robust & Scalable Enterprise Platform Background Airtel, headquartered in India, is a formidable global communications solutions provider. It serves over 574 million customers in 17 countries across South Asia and Africa, reaching over two billion people, with 2000 plus Enterprises and Govt. clients. Their vision centers on enhancing customer experiences and fostering lasting relationships in the telecommunications industry. Challenges Faced Fragmented IT Systems Airtel grappled with 59 fragmented IT systems including many legacy applications handling customer journey, each with distinct data sources. Salesforce acted interacting as middleware, with multiple UI layer applications. Complexity in B2B Customer Data Management Multiple applications managed customer enrolment, orders, and financials, each with incomplete data. Customer hierarchy data was scattered across different applications. Risk of Reduced Competitiveness Airtel faced the risk of reduced competitiveness in the dynamic telecommunications sector due to the inability to maintain a coherent view of B2B customers and lack of timely and data-driven insights. Solutions Strategic Roadmap Cubastion developed a strategic roadmap, defining CRM goals and supported processes to address data fragmentation issues. Integration Capabilities Built a framework in Siebel to eliminate manual intervention and middleware dependency. Implemented functional improvements and integration capabilities in Siebel. Customer hierarchy Unified customer hierarchy data in Siebel, resulting in the unification of customer data. Self-healing Framework Cubastion introduced a self-healing framework to mitigate peripheral system disruptions and ensure operational stability. 360-degree view Through Cubastion’s holistic approach, Airtel achieved a unified, 360-degree view of customer data, enhancing competitiveness and delivering superior customer experiences telecommunications sector. Download Full Case Study Business Outcome Customer Service Efficiency 35% faster issue resolution and improved customer satisfaction. Siebel CRM allowed Airtel to streamline its customer service processes. Improved Data Quality and Reporting 55% reduced errors in customer data and more effective targeting. Improved decision-making as Real-time and predictive analytics Efficient Process Automation 30% reduced operational costs. Automation of repetitive tasks such as billing, service orders, and customer communications. Cross-Department Collaboration 70% more unified customer experiences and better team productivity, With Siebel CRM’s integrated approach, different departments are able to collaborate effectively on B2B accounts. Scalability to Manage Growth 75% efficient scaling of operations. Siebel CRM allows for managing a large volume of B2B customers without a loss in service quality.

AI in Dealer Network Management

IMPACT STORIES AI in Dealer Network Management AI-powered dealer platform for unified data, inventory optimization, lead management, and real-time performance insights Company Name Cubastion Industry Automobile Impact Driving smarter dealer networks through AI powered insights and optimized operations Application Web Application Background Dealer networks remain one of the most important operational assets for automakers. They represent the primary interface between automotive brands and customers, supporting vehicle sales, after sales services, customer engagement, and brand experience. However, the automotive industry is experiencing a major shift driven by digital transformation, electric mobility, connected vehicles, and the rise of AI in automotive retail. Customers now expect a seamless digital car buying experience that blends online discovery with dealership engagement. Automakers today manage hundreds or thousands of dealerships generating large volumes of Data across multiple operational systems including CRM platforms, sales systems, inventory management platforms, service records, and customer engagement tools. Despite the availability of large Data volumes, many automakers struggle to convert this information into actionable insights. As a result, decision-making across dealer networks often remains fragmented and delayed. Challenges Faced Business Challenges Limited Performance Visibility Limited real-time visibility into dealer performance across regions Inventory Imbalance Inefficient inventory allocation and stock imbalance Slow Lead Response Slow lead response impacting sales conversions Fragmented Customer Data Fragmented customer data across dealer systems Inconsistent Customer Experience Inconsistent customer experience across dealerships Technical Challenges Cross-System Data Integration Integrating data from multiple dealer systems and CRMs Real-Time Data Processing Handling large-scale operational data in near real time Demand Forecasting Accuracy Building accurate demand forecasting models Scalable Analytics & Insights Delivering scalable analytics dashboards and insights Solutions To address the growing complexity of dealer network management, Cubastion developed an AI driven dealer network intelligence solution designed to unify dealer Data, enhance operational visibility, and enable data-driven decision-making automotive across ecosystems. Cubastion’s approach focuses on integrating dealer systems, CRM platforms, and AI-powered analytics into a single connected Data environment. By consolidating sales, service, customer engagement, and inventory Data from multiple dealer systems, automakers gain a unified view of dealer performance and customer activity across regions. The Cubastion solution enables automakers to leverage AI-driven insights to optimize dealer operations, improve sales efficiency, and enhance customer engagement throughout the automotive buying journey. Unified Dealer Data Platform Cubastion integrates Data from dealer CRM systems, sales transactions, service records, inventory systems, and customer engagement platforms into a centralized Data architecture. This unified Data layer provides a single source of truth for dealer network performance. AI-Powered Analytics and Intelligence Advanced machine learning models analyze operational Data to generate insights related to dealer performance, sales demand forecasting, customer behavior patterns, and inventory optimization. Intelligent Lead Management Cubastion integrates AI-driven lead scoring with dealership CRM systems to identify high-intent buyers earlier in the automotive customer journey and route leads to the most suitable dealers. Predictive Demand and Inventory Optimization AI models analyze historical sales patterns and regional demand signals to recommend optimal vehicle distribution strategies across dealerships. Dealer Performance Monitoring Real-time analytics dashboards allow automakers to monitor dealer conversion rates, service performance, and customer engagement metrics across the network. Download Full Case Study Business Outcome Enhanced Dealer Performance Visibility 100% real-time visibility across dealer network 35% reduction in data related issues Optimized Vehicle Allocation Using Predictive Forecasting 55% improvement in stock utilization 65% increase in regional sales alignment AI-Driven Vehicle Recommendation at Dealerships 35%reduction in decision-making time 55% increase in test drive conversions Lead Conversion Through AI-Driven Lead Management 48% improvement in lead conversion rates 35% improved identification of high-intent buyers Intelligent Inventory Optimization 30% reduction in overstock and stockouts 42% improvement in inventory turnover Stronger Customer Engagement and Retention 32% increase in customer retention rates 45% growth in after-sales revenue

Fusion

IMPACT STORIES FUSION Next-Generation Social Intranet Platform Driving Enterprise-Wide Collaboration at MFTBC Company Name FUSO Industry Automobile Impact Transforming workplace collaboration with a unified AI-accelerated intranet platform Application Web Application Background Mitsubishi Fuso Truck and Bus Corporation (MFTBC) was operating two separate internal platforms-DTA One and the Daimler Social Intranet-each serving different communication and collaboration needs across the organization. While both platforms supported internal engagement, they operated independently, resulting in fragmented user experiences, duplicated efforts, and inefficiencies in content management. As MFTBC progressed through its organizational transition and separation from Daimler systems, continued reliance on Daimler-owned platforms was no longer sustainable. MFTBC required an independent, unified digital workplace platform that could centralize communication, improve accessibility, preserve organizational knowledge, and provide full ownership and control of its internal collaboration ecosystem. To address this, MFTBC initiated the development of FUSION-a modern enterprise social intranet platform designed to unify communication, collaboration, and employee engagement across both web and mobile channels. Challenges Faced Technical Challenges Legacy Platform Reverse Engineering Re-engineering and modernizing legacy JIVE-based platform capabilities without direct backend/platform access or complete system documentation Complex Data Migration & Reconstruction Migrating large volumes of fragmented legacy data-including users, posts, spaces, media assets, and application records-while preserving relationships, structure, and usability Scalable Migration Pipeline Design Designing scalable migration and synchronization pipelines capable of handling structured and unstructured enterprise content with minimal disruption Parallel SDLC Execution Coordinating parallel execution of development, migration, integration, and testing streams within a compressed delivery schedule Enterprise-Grade Performance & Security Ensuring enterprise-grade security, performance, scalability, and mobile responsiveness under accelerated implementation timelines Cross-Platform Experience Consistency Maintaining platform consistency and data integrity across both web and mobile experiences during continuous feature rollout Business Challenges Organizational Platform Transition Driving organizational transition from multiple legacy collaboration platforms to a single unified digital workplace without impacting employee engagement Stakeholder Alignment Across Business Units Aligning diverse stakeholder expectations and communication needs across departments, business units, and employee groups Change Management & User Adoption Managing change adoption for employees accustomed to existing Daimler ecosystem platforms and workflows Unified Employee Experience Design Consolidating enterprise communication, collaboration, and employee services into a simplified and intuitive user experience Time-Constrained Separation Execution Operating under strict separation timelines during the Daimler transition, requiring rapid decision-making and execution alignment Business Continuity During Migration Ensuring uninterrupted access to critical organizational knowledge and internal communication channels during platform migration and rollout Solutions Cubastion designed and implemented FUSION as a unified enterprise social intranet platform that consolidated MFTBC’s legacy communication and collaboration systems into a single scalable digital workplace. The platform was built to support enterprise-wide communication, collaboration, content management, and employee engagement across both web and mobile channels while enabling seamless transition from Daimler dependent platforms. The solution combined modern user experience design, centralized content governance, multilingual accessibility, and AI-accelerated delivery practices to achieve rapid implementation within the required timeline. Enterprise Communication & Collaboration 1. Employees can create , share, and engage with posts, updates, and announcements across the organization 2. One-on-one messaging enables direct employee interaction and communication 3. Activity feeds and notifications keep employees informed and connected in real time Spaces & Communities 1. Spaces provide structured collaboration environments for departments and official teams 2. Groups enable formal and informal employee communities based on interests, initiatives, and collaboration needs 3. Dedicated communication channels support leadership-driven organization-wide announcements Centralized Information Access 1. Organizational news, discussions, documents, and media are accessible through a unified platform experience 2. Legacy utilities and employee services from DTA One were consolidated into a centralized “More” section for simplified access User & Role Management 1. Role-based access control enables secure administration and controlled access across different user groups 2. Administrators can manage users, permissions, and organizational access policies centrally Centralized Content Management System (CMS) 1. Business teams can independently create, manage, and publish organizational content without technical dependency 2. HR, IT, Communications, and other departments can create categories and manage announcements, policies, campaigns, and employee updates through a centralized administration interface 3. The platform supports employee-focused content and services such as cafeteria menus, wellness initiatives, organizational updates, and internal engagement programs Multilingual Platform Accessibility 1. US ION was designed as a multilingual platform to support MFTBC’s diverse workforce across different regions and employee groups 2. Users can consume and manage content in multiple languages, improving accessibility, inclusivity, and enterprise-wide communication effectiveness Download Full Case Study Business Outcome Annual Cost Savings 8.8 M JPY annual savings achieved through consolidation of legacy platforms into a unified system. Publishing Effort Reduction 240 hrs/year reduction in content publishing efforts through streamlined workflows and centralized management. Content Migration Scale 14,000+content items migrated while preserving organizational knowledge and continuity. Digital Workplace Consolidation 1,500 entries & 140 spaces consolidated to enable a unified and structured digital workplace. User Onboarding Success 5,000+users successfully onboarded from Day 1 with seamless transition from legacy systems. Accelerated Platform Delivery 4 mths. to deliver a fully operational web and mobile platform. Faster Development Cycles ~70% faster development cycles achieved through Al-assisted implementation, accelerating overall project execution.

Engineering.IA

IMPACT STORIES Engineering.IA A GenAI-powered complaint intelligence and knowledge retrieval platform built on top of FUSO’s Zeus complaint ecosystem. Company Name FUSO Industry Automobile Impact Faster resolution and improved productivity Application Chatbot Background Mitsubishi Fuso Truck and Bus Corporation (FUSO) operates in a highly technical environment where rapid issue resolution and engineering feedback are critical to product quality and operational efficiency. To support this, FUSO developed the Zeus Portal a centralized repository of technical complaints across regions, containing structured metadata (vehicle model, component, region) along with detailed descriptions and resolutions. Over time, this repository scaled to lakhs of records, becoming a valuable but increasingly complex knowledge base. Cubastion, as a long-term technology partner to FUSO across multiple AI and enterprise platforms, identified the need to enhance how this accumulated was knowledge accessed and utilized. Engineering.IA was developed as an intelligent layer on top of Zeus to make historical complaint intelligence instantly searchable, comparable, and actionable. Challenges Faced Manual & Time-Intensive Investigation Time-intensive complaint investigation due to manual Excel-based filtering Difficulty in Identifying Similar Issues Difficulty in identifying similar complaints across large datasets Delayed Resolution Benchmarking Delays in benchmarking resolutions for current issues Limited Visibility into Recurring Patterns Limited visibility into recurring technical patterns Inconsistent Knowledge Access Inconsistent knowledge access across teams and regions High-Volume Data Handling Complexity Handling lakhs of complaint records with varying formats and narratives Semantic Variability in Issue Descriptions Semantic variability in how similar issues are described Balancing Structured & Contextual Analysis Balancing structured metadata filtering with contextual similarity Insight Generation Without Accuracy Loss Generating synthesized insights without losing technical accuracy Traceability of Complaint Records Ensuring traceability to original complaint records Solutions Cubastion developed the Diagnostics Chatbot (DTC), a GenAI-powered assistant that enables technicians to access and interact with technical knowledge using natural language or diagnostic codes, delivering structured and actionable insights. Intelligent Complaint Retrieval 1. Retrieves similar historical complaints based on context, not keywords 2. Supports queries across vehicle model, region, and component 3. Identifies relevant cases even with varied phrasing Similarity Ranking & Clustering 1. Ranks complaints based on contextual relevance 2. Groups related issues into clusters 3. Surfaces recurring technical patterns Synthesized Resolution Insights 1. Generates summary insights across multiple complaints 2. Provides both aggregated view and detailed records 3. Maintains alignment with original resolution logic Source-Cited Responses 1. Includes complaint I D references in every response 2. Ensures traceability to Zeus records 3.Builds trust in AI-generated outputs Conversational Query Interface 1. Supports natural language queries 2. Handles investigative and exploratory questions 3. Enables both typed and voice-based interaction Structured Response Presentation 1. Combines summaries, ranked complaints, and references 2. Formats outputs for decision-readiness 3. Reduces effort in interpreting raw data Download Full Case Study Business Outcome User Onboarding Growth 400+ active users onboarded within weeks of launch, reflecting rapid adoption of the platform. Onboarding Efficiency 200/week average user onboarding rate, highlighting high demand for AI-assisted complaint resolution Operational Workflow Improvement 40% faster problem resolution, demonstrating seamless integration into daily engineering workflows. User Engagement Volume 1200+ messages exchanged, indicating strong early engagement and active usage