A unified operations platform for cargo warehouses and terminals — live digital twin, AI copilot, computer vision and predictive intelligence that cut delays, lift visibility and optimize every dock, rack and flight.
From the moment cargo hits the dock to the moment it wheels onto the ramp — every asset, sensor and process connected in a single intelligence layer.
WebSocket live feeds stream KPIs, forklift positions, temperatures and dock states to every screen.
The copilot, predictive models and vision stack turn raw telemetry into actions and recovery plans.
Rules, escalations, approvals and task assignment route work to the right person automatically.
Every capability the operation needs — from the executive dashboard to cold chain — engineered as deep, production modules, not widgets.
Live KPIs, revenue trend and SLA compliance across every hub — one command surface for the operation.
Ask anything in natural language. Answers drawn live from operational data, with citations and recovery plans.
Interactive warehouse map with live forklifts, ULDs, pallets and docks — every asset moving in real time.
CCTV feeds with real-time detection of people, forklifts, fires, spillage and safety violations, with confidence scores.
Probability-ranked forecasts for delays, congestion, dock bottlenecks and cold-chain failures before they happen.
Interactive dock timeline, truck arrivals and queue prediction with optimized allocation suggestions.
Barcode, QR, RFID and AWB search across racks, shelves and handlers — every shipment traceable in seconds.
Live temperature and humidity graphs, door events and an AI alert engine for perishable integrity.
Heatmaps, cargo flow, operator productivity and equipment utilization — deep intelligence on every shift.
Critical alerts, AI recommendations and escalations routed to the right person at the right time.
Auto-generated incidents with owners, progress tracking, root-cause analysis and AI-written reports.
Users, roles, permissions, warehouses, cameras, IoT devices, API keys and full audit logging.
Configurable LLM providers — OpenAI, Claude, Gemini, Azure OpenAI or a local model — plus workflow rules.
Three AI engines work continuously over live operational data — answering, watching and predicting.
A ChatGPT-class interface wired to your live operational data. Ask “where is AWB 176123456” or “why is 6E452 delayed” — get answers with cited records, charts and recovery recommendations.
A vision stack that understands the warehouse floor. Detects packages, forklifts, people, fires, spillage, wrong stacking and damaged cargo — with confidence scoring on every frame.
Models trained on historical operations forecast what breaks next — missed flights, congestion, dock bottlenecks, resource shortage and cold-chain drift — each with probability, risk and a recommendation.
A modern microservice architecture — React/Next.js frontend, FastAPI AI services, PostgreSQL, Redis and Kafka streaming — containerized for Kubernetes.
Identity, access and audit are first-class — built for the compliance bar of commercial air cargo operators.
The platform is future-ready — the roadmap takes it from 2D operations to autonomous, augmented and fully predictive.
Explore the live platform — real data, real predictions, real decisions. Everything runs in your browser.