Personalized Book Subscription & Fulfillment

Personalized Book Subscription & Fulfillment

This project is a smart, data-driven web application designed to deliver highly personalized book subscription boxes to customers based on their reading interests. The platform seamlessly combines e-commerce, automation, and recommendation logic to create a smooth customer experience from order placement to box fulfillment.

Project Goals

Platform Architecture

E-commerce Store Integration

The public-facing storefront is built on Shopify, allowing customers to browse, subscribe, and place orders easily.

Key Capabilities

Once an order is placed, it is instantly pushed to the internal system for processing.

Internal Operations Portal

A custom Django-based backend portal acts as the operational brain of the platform.

Features

The portal ensures every order is processed accurately and efficiently.

Personalized Book Curation Engine

The core intelligence of the platform lies in its book selection logic.

How It Works

This results in a unique, personalized box for every order.

Duplicate Prevention & History Tracking

A critical requirement was maintaining a complete shipment history per customer.

Capabilities

This feature significantly improves customer satisfaction and trust.

Automation & Workflow Orchestration

To keep operations efficient and scalable, extensive automation was implemented.

Automation Tools

Manual effort was reduced while accuracy and speed increased.

Data Management & Reporting

Operational data is stored and synchronized across cloud tools for easy access.

Integrations

This ensured transparency and operational clarity.

Email Marketing & Customer Communication

Customer engagement was handled via SendGrid.

Use Cases

This helped build a consistent communication pipeline with customers.

Frontend Experience

The user-facing components and internal interfaces were built with modern frontend technologies.

Frontend Stack

These technologies ensured a fast, responsive, and modern user experience.

Background Processing & Performance

To handle asynchronous tasks and high-volume operations, background workers were implemented.

Capabilities

This architecture allowed the system to scale smoothly with increasing demand.

Technology Stack

Django / Python

HTML, CSS & Bootstrap

Javscript & JQuery

Channels

Celery

React js

Next js

Shopify

Google Books API

Goodreads API

Amazon Books

SendGrid

Google Sheets API

Google Drive API

Integromat (Make)

Webhooks

Impact & Value Delivered

This project highlights our ability to build intelligent, integrated, and automation-first platforms that merge commerce, data, and personalization into a seamless product experience.