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Contextual B2B Chat Integration for Logistics Platform
  1. case
  2. Contextual B2B Chat Integration for Logistics Platform

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Contextual B2B Chat Integration for Logistics Platform

rst.software
Logistics
Transportation
Digital Platforms

Inefficient Communication in Logistics Transactions

Existing plaintext messaging system caused duplicated offer entries, cluttered interfaces, and cross-transaction confusion. Multiple transactions managed within single chat windows led to miscommunication risks and reduced operational clarity for logistics stakeholders.

About the Client

Digital freight exchange connecting shippers, freight forwarders, and carriers across Europe and Asia with 62,000+ verified companies

Communication Modernization Goals

  • Implement transaction-specific communication channels
  • Reduce operational errors through contextual message organization
  • Improve user productivity with feature-rich interface
  • Support multilingual logistics coordination
  • Optimize infrastructure costs through cloud migration

Contextual Messaging System Requirements

  • Dedicated transaction chat threads
  • Integrated freight specification display
  • Multilingual translation system
  • Negotiation tracking module
  • File sharing capabilities
  • Transaction archiving system
  • User rating functionality
  • Context-aware notification templates

Technology Stack Requirements

React
Elixir
Erlang
Ejabberd
AWS EC2
PostgreSQL
Redis

System Integration Needs

  • Proprietary freight exchange platform
  • User authentication system
  • Cloud infrastructure (AWS)

Operational Requirements

  • Horizontal scalability for 50k+ concurrent users
  • 99.99% system availability SLA
  • Real-time message delivery latency <200ms
  • Data encryption at rest and in transit
  • Cost-optimized cloud architecture

Expected Business Outcomes

Anticipated 40-60% reduction in communication-related operational errors, 50x decrease in notification costs through template optimization, improved transaction closure rates via contextual clarity, and enhanced platform scalability to support 20% annual user growth while maintaining performance standards.

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