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NaviSight
Logistics & Supply Chain

NaviSight

AI-powered shipment visibility and delay impact platform. Predicts container arrivals, maps downstream consequences, and gives supply chain teams a single source of truth.

AI/ML Predictive Analytics Logistics Supply Chain
NaviSight dashboard showing shipment visibility, status charts, transit times, and carrier performance metrics

Global supply chains are complex and fragile. When a container is delayed halfway across the world, the ripple effects hit production lines, inventory, and customer commitments — often without warning.

  • Tracking shipments meant logging into multiple carrier portals manually
  • Bills of Lading (BLs) were scattered across emails and spreadsheets
  • No visibility into why delays happen or what they impact
  • Production teams found out about material delays too late
  • Customer delivery promises were broken before anyone knew there was a problem
  • ETA predictions from carriers were unreliable and static

Businesses needed a single source of truth — not just where shipments are, but what happens downstream when they're late.

We built NaviSight — an intelligent platform that connects shipment tracking to real-world business impact.

1. Centralized BL Management

Created a unified system to upload, parse, and manage Bills of Lading. All shipment documentation lives in one place — searchable, organized, and linked to live tracking.

2. Real-Time Shipment Tracking

Integrated with carriers and tracking APIs to provide live container visibility across ocean, port, and inland transit — automatically updated without manual checks.

3. AI-Powered ETA Prediction

Built machine learning models that predict container arrivals more accurately than carrier estimates — factoring in port congestion, weather patterns, historical delays, and route performance.

4. Delay Impact Analysis

Developed an impact engine that maps shipment delays to downstream consequences:

  • Which materials are affected?
  • Which production runs are at risk?
  • Which customer orders will be late?

5. Proactive Alerts & Notifications

Implemented intelligent alerting that notifies stakeholders before delays cascade — giving teams time to adjust production schedules, source alternatives, or communicate with customers.

6. Unified Dashboard

Designed a single interface where logistics, production, and customer teams can see shipment status, delay risks, and impact analysis — no more siloed information.

Python, TensorFlow, Scikit-learn
AI/ML models
Custom ML Models
ETA prediction
OCR & API Integrations
BL parsing & data ingestion
Carrier, AIS & Port APIs
Tracking integration
Python & Node.js
Backend
PostgreSQL & Supabase
Database
React & TypeScript
Frontend
AWS / Azure
Cloud infrastructure
Email, SMS, In-app
Notifications
Before
After
Multiple carrier portals
One unified dashboard
BLs scattered in emails
Centralized, searchable repository
Static carrier ETAs
AI-predicted arrivals
Delays discovered too late
Proactive impact alerts
No visibility into downstream impact
Materials, production & delivery risk mapped
Reactive firefighting
Proactive supply chain management

Have a similar challenge?

We'd love to explore how AI can optimize your logistics and supply chain operations.