Tag: Transportation and Logistics

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

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