Oculus IQ

Dashboard
Dashboard
Intelligence
Risk Scenario Intelligence
Cargo Portfolio
Risk Scenario Intelligence
Clients
Dasboard
Operations Map

Inspiration

Supply chain operations are becoming increasingly complex, yet many freight forwarders and exporters still rely on spreadsheets, emails, carrier portals, and messaging applications to manage critical logistics operations. A single disruption such as a port strike, severe weather event, or route blockage can create cascading delays, financial losses, and communication challenges.

We built OculusIQ to transform supply chain management from reactive firefighting into proactive decision-making. Instead of simply tracking shipments, OculusIQ helps operators understand risks, predict disruptions, evaluate impacts, and take action before problems escalate.

What it does

OculusIQ is an AI-powered Supply Chain Intelligence Platform designed for freight forwarders and exporters.

The platform provides:

Unified visibility across shipments, routes, ports, and clients
AI-powered risk detection and disruption monitoring
Scenario planning for evaluating disruption impacts
SLA breach prediction for client performance monitoring
Tariff and landed-cost intelligence
Carbon footprint tracking and compliance insights
Document intelligence for extracting shipment data from logistics documents
Automated WhatsApp alert generation for rapid client communication

By consolidating operational data into a single command center, OculusIQ enables faster and more informed logistics decisions.

How we built it

Frontend:

React
Vite
Interactive dashboards and visualizations

Backend:

FastAPI
Python

Database:

SQLite

AI Layer:

Gemini AI

External Integrations:

Open-Meteo API
GDACS API
Nominatim API

The platform combines shipment data, external risk signals, and AI-driven analysis to generate actionable insights and recommendations.

Challenges we ran into

One of the biggest challenges was integrating multiple logistics data sources into a unified operational workflow. Supply chain information is often fragmented, making it difficult to provide a single source of truth.

Another challenge was designing an intelligence layer that does more than visualize data. We focused on generating meaningful outputs such as risk assessments, disruption simulations, client impact analysis, and automated communication workflows.

Balancing technical complexity with an intuitive user experience was also a major challenge throughout development.

Accomplishments that we're proud of

Built a complete end-to-end supply chain intelligence platform
Developed a centralized Operations Command Center
Integrated AI-powered risk analysis and decision support
Implemented disruption simulation and scenario planning
Created client-focused SLA monitoring and alerting
Automated operational communication through WhatsApp alerts
Delivered a practical solution for real-world logistics challenges

What we learned

Through this project, we gained valuable experience in supply chain operations, logistics workflows, risk modeling, AI-assisted decision support, and full-stack application development.

We also learned how critical actionable intelligence is in operational environments where decisions must be made quickly and accurately.