Stabilizing a Nationwide Logistics Network

Re-architecting a broken logistics platform into a stable, scalable, AI-powered system that now processes millions of transactions with real-time accuracy.

The Challenge

Huxloe’s logistics system had accumulated over 900,000 package label records and continued to process millions of transactions over time. However, the system was plagued with critical issues:

  • Inconsistent data – labels showing incorrect states, such as packages marked “in cargo” despite being delivered.
  • High event failure rate – over 40% of events failing to trigger due to misconfigured EventHub capacity
  • Integration bottlenecks – unreliable connections with third-party providers disrupted logistics workflows
  • Lack of actionable reporting – managers lacked real-time, accurate dashboards to oversee performance

The Solution

Deep collaboration, smart system design, and automation were the keys to unlocking real results.

The Results

Big Data Stability

Re-architected data flows to ensure the system could scale to millions of transactions, processing up to 10–20k labels per minute and 75k+ per day.

Reliable Third-Party Integrations

Stabilized connections with external service providers, ensuring end-to-end package visibility.

Accurate Reporting & Dashboards

Built real-time dashboards and reporting tools that turned raw logistics data into actionable insights.

AI & Automation Enhancements

Introduced automated anomaly detection and monitoring, with AI models identifying irregular package flows (e.g., missing scans, delayed shipments) before they became larger operational issues.