Tag: Transportation and Logistics

Customer

As part of a connected fleet and telematics modernization initiative, a leading U.S.-based trucking and logistics company set out to transform how it manages and monetizes fleet operations. Operating a large nationwide fleet, the organization faced growing pressure from rising maintenance costs, customer expectations for real-time visibility, and industry disruption driven by electric and autonomous vehicles. To stay competitive, the customer needed a data-driven platform that could unify telematics data, improve operational efficiency, and unlock new revenue opportunities.

Business Objective

The logistics provider aimed to:

• Monetize telematics data across its expansive fleet

• Prepare for disruption from electric and autonomous vehicles

• Improve customer experience through real-time fleet insights

• Strengthen process and data consistency across fleet operations

• Enable predictive analytics–driven business capabilities

• Reduce maintenance costs by predicting failures early

• Optimize fleet performance, compliance, and safety through automation

These objectives defined a roadmap for connected fleet and telematics modernization at enterprise scale.

Scope of Services

BXI Technologies partnered with the customer to deliver a unified, intelligence-driven fleet platform.

• Designed a connected fleet platform ingesting near real-time telematics data

• Unified data across ~0.5M vehicles from major truck OEMs, telematics service providers, and IoT platforms

• Enabled enterprise-wide decision-making using centralized telematics intelligence

• Delivered real-time visibility into:

  • Vehicle health and condition

  • Predictive maintenance alerts

  • Emergency driver assistance status

• Implemented real-time route optimization based on traffic, operational cost, and constraints

• Built a scalable foundation to monetize telematics data across the logistics ecosystem

This connected fleet and telematics modernization approach enabled both operational efficiency and new digital revenue streams.

Benefits

• Lower maintenance costs through predictive maintenance intelligence

• Improved regulatory compliance across fleet operations

• Enhanced customer satisfaction via value-added telematics services

• More accurate ETAs improving customer experience

• Stronger operational consistency with unified fleet data

• New monetization opportunities from telematics insights

Impact

• 25–35% reduction in fleet maintenance costs

• 40–55% reduction in unplanned vehicle downtime

• 20–30% improvement in DOT and eDVIR compliance

• 35–45% improvement in ETA accuracy for customer deliveries

 

Customer

As part of a blockchain interoperability platform for supply chain networks, a global logistics leader headquartered in the EU set out to modernize how multi-party supply chain ecosystems collaborate. Operating complex networks involving carriers, suppliers, customs authorities, and partners, the organization required secure, transparent, and near real-time data exchange. Existing blockchain implementations lacked interoperability and performance, limiting scalability and cross-network collaboration. The client needed a unified blockchain layer to support distributed, future-ready supply chain models.

Business Objective

The logistics provider aimed to:

• Build a next-generation blockchain collaboration platform

• Support multiple blockchain protocols within a single ecosystem

• Enable cross-protocol interoperability across disparate networks

• Achieve near real-time performance for supply chain events

• Support pluggable use cases such as track & trace, reverse shipping, and settlements

• Strengthen network governance, monitoring, and multi-node operations

• Future-proof supply chain digitization with a unified blockchain foundation

These objectives defined the roadmap for a blockchain interoperability platform for supply chain networks operating at scale.

Scope of Services

BXI Technologies partnered with the customer to design and implement a high-performance, interoperable blockchain platform.

• Designed a blockchain platform supporting multiple protocols and networks

• Built a scalable, interoperable architecture using gRPC for low-latency communication

• Enabled cross-network collaboration between similar and disparate blockchain technologies

• Developed modular, pluggable components to support multiple supply chain use cases

• Implemented network management, operations dashboards, and node monitoring

• Delivered near real-time event processing for thousands of ecosystem participants

This blockchain interoperability platform for supply chain networks removed silos and enabled seamless collaboration across the ecosystem.

Benefits

• High-performance blockchain operations across large networks

• Seamless interoperability between multiple blockchain protocols

• Scalable platform supporting diverse supply chain use cases

• Faster and more reliable event processing

• Improved collaboration and secure data exchange among partners

• Flexible architecture enabling rapid onboarding of new use cases

Impact

• 67% improvement in request fulfillment time

• Near real-time processing of supply chain events across networks

• Improved operational visibility across multi-party ecosystems

• Stronger governance and monitoring of blockchain nodes and networks

 

Customer

Digital platform consolidation for supply chain operations became a critical initiative for a global supply chain services and logistics company based in the United States. Operating large-scale freight forwarding, warehousing, transportation, and distribution networks, the organization manages massive shipment volumes worldwide. As operations expanded, a fragmented application landscape and rising run-the-business costs began impacting visibility, efficiency, and customer experience. The company needed a unified digital foundation to regain control and scale efficiently.

Business Objective

The customer aimed to:

• Reduce run-the-business (RTB) costs and improve operational efficiency

• Enhance shipment visibility across the global supply chain

• Re-engineer and standardize business processes for better resource utilization

• Reduce incident ticket volumes and year-on-year support overhead

• Establish integrated SLAs and KPIs for AMS and infrastructure operations

• Consolidate a fragmented application landscape into a single platform

• Improve customer onboarding speed and increase revenue realization

Scope of Services

BXI Technologies delivered a multi-layer digital transformation program covering:

Core Freight Forwarding System Modernization

• Re-engineered freight forwarding systems to improve performance and visibility

• Streamlined workflows across global logistics operations

Next-Generation Digital Platform Development

• Built a unified digital platform replacing 170+ legacy applications

• Created a single source of truth for shipments, customers, vendors, and freight

• Standardized processes across the supply chain ecosystem

Application Support (AMS)

• Managed 115 applications across 25+ technologies

• Delivered incident management, problem management, enhancements, testing, and release services

• Implemented automation to eliminate redundant and recurring tickets

Infrastructure Support & Help Desk

• Provided end-to-end infrastructure operations and monitoring

• Delivered L1, L2, and L3 user support

• Integrated SLAs, KPIs, and governance across AMS and infrastructure

Benefits

The organization achieved:

• Lower run-the-business costs through automation and consolidation

• Faster customer onboarding via standardized digital workflows

• A unified digital platform replacing 170+ applications

• Improved shipment visibility across global operations

• Stronger governance with integrated SLAs and KPIs

• Reduced manual support effort through stabilization and automation

• Increased revenue realization driven by operational accuracy

Impact

• $100 million reduction in run-the-business costs

• 60% faster customer onboarding

• 11% increase in revenue realization

• 20%+ reduction in incident ticket volumes

 

Customer

Digital experience transformation for public transportation became a strategic priority for a leading Australian regional authority responsible for managing airports, train stations, and citizen-facing mobility services. Serving millions of passengers each year, the authority needed to modernize travel experiences while balancing accessibility, cost efficiency, and future readiness. Aging systems, fragmented digital touchpoints, and rising operational costs limited their ability to deliver seamless, inclusive journeys across physical and digital channels.

Business Objective

The authority aimed to:

• Redesign end-to-end traveler experiences across airports, train stations, and mobile platforms

• Apply human-centered design principles to improve accessibility and inclusivity

• Reduce total cost of ownership through strategic application and infrastructure outsourcing

• Enable a resilient and scalable multi-cloud environment

• Incubate innovation using emerging technologies such as AR, VR, and digital walkthroughs

• Deliver a next-generation travel platform that improves satisfaction and enables self-service

Scope of Services

BXI Technologies partnered with the authority to deliver a comprehensive transformation program spanning experience, technology, and operations.

Human-Centered Experience Design

• Redesigned traveler journeys across new airport terminals and train stations

• Created AR/VR-enabled experience prototypes for future-state travel

• Improved accessibility for diverse traveler groups, including mobility- and sensory-impaired users

Strategic Outsourcing (Applications & Infrastructure)

• Established an outsourced operating model for apps and infrastructure

• Reduced TCO through consolidation, automation, and shared-service delivery

Multi-Cloud Enablement & Migration

• Enabled hybrid and multi-cloud capabilities for resilience and scalability

• Migrated legacy workloads to modern cloud environments

• Modernized systems to improve reliability and performance

Innovation Incubation

• Explored AR, VR, and digital twin concepts

• Built rapid prototypes to validate new travel experience models

Benefits

The authority achieved:

• More intuitive and immersive travel experiences through AR/VR-led design

• Improved accessibility and inclusivity for all citizen travelers

• Lower operating costs through consolidated applications and infrastructure outsourcing

• Higher reliability and scalability enabled by multi-cloud adoption

• Modernized digital touchpoints across mobile apps, airports, and train stations

• A stronger innovation pipeline supported by rapid experimentation

This digital experience transformation for public transportation enabled the authority to deliver accessible, future-ready travel experiences while reducing operational complexity and cost.

Impact

The authority achieved:

• More intuitive and immersive travel experiences through AR/VR-led design

• Improved accessibility and inclusivity for all citizen travelers

• Lower operating costs through consolidated applications and infrastructure outsourcing

• Higher reliability and scalability enabled by multi-cloud adoption

• Modernized digital touchpoints across mobile apps, airports, and train stations

• A stronger innovation pipeline supported by rapid experimentation

Customer

Cloud-first infrastructure modernization for cold chain logistics became a strategic priority for a global cold chain logistics provider headquartered in North America. Specializing in temperature-controlled warehousing, distribution, and time-critical delivery services, the organization depends on highly resilient IT infrastructure to maintain cold-chain integrity across global markets. Aging data centers, limited scalability, and rising operational complexity made it difficult to support growing business demands and future digital initiatives.

Business Objective

The customer aimed to:

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

• Improve internal IT responsiveness to evolving business needs

• Adopt a cloud-first strategy to modernize legacy infrastructure

• Migrate workloads to the cloud for scalability and global accessibility

• Consolidate data centers to reduce cost and operational complexity

• Enable a future-ready platform for digital logistics applications

• Minimize downtime and prevent data loss across global operations

Scope of Services

BXI Technologies partnered with the customer to deliver a multi-layer cloud modernization program.

Azure Production & Migration

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

• Implemented Azure with StorSimple to address storage challenges

• Consolidated remote sites using RSCA

• Tested and deployed Azure Migration Accelerator for large-scale migrations

Hybrid Cloud Implementation

• Designed and implemented a hybrid cloud operating model (MCOD)

• Extended Azure as an integrated layer across existing data centers in EMEA and APAC

• Enabled seamless workload mobility between on-prem and cloud environments

Data Center Migration & Consolidation

• Consolidated multiple data centers into a streamlined hybrid footprint

• Improved resiliency while reducing operational overhead

Automation & Digital Twin Enablement

• Automated critical infrastructure processes

• Introduced digital twin concepts for proactive monitoring and simulation

Benefits

The organization achieved:

• A modern, scalable, and resilient cloud-enabled infrastructure

• Faster IT response to business and operational demands

• Seamless hybrid cloud operations across regions

• Reduced complexity through data center consolidation

• Improved disaster recovery and storage management

• Higher stability for time-sensitive cold-chain operations

• A strong foundation for future digital logistics applications

This cloud-first infrastructure modernization for cold chain logistics positioned the organization for long-term scalability and reliability.

Impact

• 70% of workloads migrated to Azure

• 97% virtualization across infrastructure

• Near-zero downtime during migration

• Near-zero data loss across all transitions

 

Customer

AI-driven customs clearance modernization became a strategic priority for a U.S.-based global courier, express, and parcel (CEP) company handling millions of international shipments daily. Operating across multiple countries, the organization faced complex customs regulations, strict compliance requirements, and increasing customer expectations for faster, predictable international deliveries. To maintain leadership in the international express segment, the company needed to reduce customs delays, prevent shipment holds, and transform clearance accuracy into a competitive advantage.

Business Objective

The customer aimed to:

• Transform customs clearance into a market differentiator

• Proactively predict shipment caging probability

• Improve delivery predictability by minimizing customs delays

• Reduce revenue loss from misclassification and documentation errors

• Automate high-volume customs workflows

• Apply AI to documentation, screening, and inspection processes

Scope of Service

BXI Technologies delivered an AI-powered customs intelligence framework that included:

• Harmonized System (HS) code search and validation

• AI-based cage risk prediction models

• Automated international document identification and preparation

• Restricted Party Screening (RPS) automation

• Package image processing and classification

• Big-data–driven analytics for real-time caging prediction

• Model-as-a-Service (MaaS) architecture for scalable deployment

This solution embedded AI models directly into live customs workflows, enabling real-time decision-making at operational scale.

Benefits

The organization achieved:

• Higher customs clearance accuracy through predictive intelligence

• Faster processing by automating documentation and classification

• Early identification of high-risk shipments

• Improved customer experience with predictable delivery timelines

• Stronger compliance through integrated AI workflows

• Reduced manual intervention across customs operations

Impact

• 94–97% accuracy in identifying shipment caging risk

• Substantial reduction in customs-related delays

• Real-time AI model execution at enterprise scale