AI / ML

AIRA - AI Intake & Response Assistant

AI-powered backend system that automates shipment and quotation request handling via email workflows. Connects to shared inboxes, processes parent-child email threads, and converts unstructured email content into structured business workflows.

Industry Logistics & Freight
Year 2026
Duration 6 Months
Delivered On-Time
Client Verified
AIRA - AI Intake & Response Assistant - Case Study by Techphin Labs
407+
Emails Processed
Real-Time
Inbox Sync
Async
Background Jobs
PostgreSQL
High-Volume Storage
Deep Dive

Understanding The Problem & Our Approach

The Challenge

Freight and logistics teams manually processed shipment and quotation requests from shared inboxes. Unstructured emails, long parent-child threads, and high volume created bottlenecks, slow response times, and inconsistent data extraction.

Legacy Systems Scalability Issues Data Silos

Our Solution

Built AIRA - a Django REST Framework backend on PostgreSQL that integrates Microsoft Graph API for secure inbox access, parses and stores emails with thread management, and runs asynchronous background jobs to convert unstructured content into structured shipment workflows with confidence-scored extracted fields.

Modern Stack Cloud-Native Future-Proof
System Architecture

Visual Architecture Blueprint

Enterprise AI email parsing architecture using Microsoft Graph API webhooks, Django REST Framework, and NLP extraction pipelines.

Shared Email Inbox
Microsoft Graph Webhooks
Email Source
Ingestion Gateway
Django REST Webhook Receiver
Receiver API
AI Extraction Pipeline
NLP Thread & Entity Parser
AI Engine
Async Worker Queue
Celery Background Tasks
Async Processing
Logistics Data Store
PostgreSQL & Audit Logs
Storage Layer
Execution Pipeline

End-to-End Technical Workflow

Automated ingestion of unstructured freight emails into structured quotation requests.

01

Email Ingestion Webhook

Microsoft Graph notifies API of incoming freight request or thread reply.

Input: Email MIME / Webhook
Output: Parsed Email Object
02

Thread Reconciliation

Stitches message into parent-child conversation history using message headers.

Input: Email Metadata
Output: Thread Context Tree
03

AI Entity Extraction

NLP model identifies origin, destination, container type, weight, and dates.

Input: Unstructured Body
Output: Extracted JSON Fields
04

Workflow & Confidence Score

Assigns confidence score to extracted fields and routes to quote dashboard.

Input: Extracted JSON
Output: Structured Quotation Ticket
How We Work

Our Development Process

A battle-tested methodology that turns complex challenges into elegant, high-performance solutions.

1

Inbox Analysis

Unstructured email pattern analysis, parent-child thread mapping, and RFQ data field definition.

2

Architecture & Graph Setup

Microsoft Graph OAuth integration, Django REST Framework schemas, and Celery job queue architecture.

3

AI Model & Parser

Custom NLP entity extractor, confidence scoring algorithm, and parent-child email thread reconciler.

4

Deployment & Calibration

Shared inbox connection, background worker scaling, and operator dashboard integration.

Built-In Capabilities

Key Features Delivered

Every solution we build comes packed with enterprise-grade features that ensure reliability, performance, and scalability.

Microsoft Graph Integration

Secure shared inbox access and email management via Microsoft Graph API.

Email Thread Management

Captures incoming emails and processes parent-child thread relationships automatically.

AI Data Extraction

Converts unstructured email content into structured fields - origin, destination, cargo, and dates with confidence scoring.

Workflow Automation

Routes parsed shipment and quotation requests into structured business workflows.

Async Processing

Background job queues handle large email volumes without blocking API responses.

Secure Auth & Access

Role-based authentication and authorization for admin and operational users.

Engineering Deep Dive

System Design Highlights

Key architectural decisions, data flow optimizations, and security patterns implemented for enterprise performance.

Thread Context Tree Builder

Reconstructs complex email chains to preserve historical quotation negotiations.

Confidence Metric Evaluator

Scores AI entity extractions to route low-confidence fields to human operators.

OAuth Token Vault

Secure Microsoft Graph API token management with automatic silent refresh.

Technology Stack

Built With Modern Technologies

We carefully selected a cutting-edge technology stack to ensure maximum performance, maintainability, and future-proof scalability for this project.

Python
Django REST
PostgreSQL
Microsoft Graph
Cloud Hosting
CI/CD Pipeline
SSL & Security
Performance CDN
Gallery Preview

"AIRA transformed how we handle RFQ emails - unstructured requests now flow into structured workflows automatically, cutting manual intake effort dramatically."

I
iQArgo
Logistics & Freight

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