AI-Powered Custom Web App
Built For Logistics Business

AI-driven shipment delay prediction engine
Automated logistics document processing
Natural language ops assistant for internal teams

Build My Logistics App

Reduction in manual data entry hours

Faster document processing

Hrs/week saved for ops team

Fewer shipment delays

Estimated annual ops cost saved

Weeks onboarding time

Shipment Tracking Dashboard

Real-time visibility across all active shipments, carriers, and delivery milestones in one place.

AI Delay Predictor

Flags at-risk shipments early using route data, weather signals, and historical delay patterns.

Document Processing Engine

Extracts structured data from bills of lading, PODs, and invoices automatically without manual input.

Ops Chat Assistant

Internal AI chatbot lets teams query shipment status and vendor records in plain language.

Vendor and Carrier Hub

Centralised portal to manage carrier contracts, performance history, and rate comparisons across lanes.

Role-Based Access Control

Separate dashboards and permissions for ops staff, managers, and external client accounts.

Live Tracking Replaced Spreadsheets

Challenge

Operational teams tracked active shipments across spreadsheets and email threads daily.

Solution

Signity built a real-time tracking dashboard on Node.js and PostgreSQL. Live carrier status pulls via REST APIs update every 15 minutes. BullMQ handles async sync jobs without slowing the core app.

Impact

Operational team located shipment status 2.8x faster than before.

AI Solved Disconnected
Ops Workflows

Challenge

Three separate tools handled documents, delays, and queries. No single system connected them.

Solution

We embedded three AI layers into one unified platform. A LangChain-orchestrated delay predictor runs on live route and weather APIs. A FastAPI document parser extracts fields from PDFs using GPT-4o. An internal RAG-based assistant built on pgvector handles natural language ops queries.

Impact

Manual document entry eliminated completely across 3 core workflow stages.

AI Eliminated Manual Document Entry

Challenge

Staff manually keyed data from invoices and PODs into the system every day.

Solution

A GPT-4o-powered extraction pipeline built on FastAPI processes incoming PDF documents automatically. Parsed fields map directly into PostgreSQL via structured JSON output. Sentry monitors extraction failures in real time for instant error recovery.

Impact

Processing backlog cleared same-day and turnaround cut to under 8 minutes.

Custom Portal Gave Clients Real-Time Control

Challenge

Clients called or emailed ops staff for every shipment update they needed.

Solution

Signity built a dedicated client portal with role-based access on Supabase Auth. Clients log in to view live shipment status, download PODs, and raise queries directly. Automated Twilio notifications push updates at key delivery milestones without manual triggers.