IoT & E-Commerce Integration

SmartCart

Revolutionizing the retail experience with intelligent inventory tracking and seamless digital checkout.

Project Overview

SmartCart is an end-to-end shopping ecosystem that bridges the gap between physical retail and digital precision. It features a smart hardware interface coupled with a high-performance web dashboard for real-time inventory management.

0.8s
Response Time
99%
Accuracy
Kiran P.
Lead Developer

Problem Statement

Traditional retail environments suffer from persistent stock inaccuracies, slow checkout processes, and a lack of real-time data for floor managers. Customers often face long queues, while store owners struggle with shrinkage and inefficient inventory auditing.

Solution Approach

Sensor Fusion

Utilizing Weight sensors and RFID tags to track every item added or removed from the cart instantly.

IoT Sync

Low-latency MQTT protocols to ensure the hardware and cloud remain perfectly synchronized.

Auto-Checkout

Direct integration with payment gateways for a frictionless "Grab and Go" retail experience.

Key Features

  • Real-time Inventory Tracking

    Dynamic updates to store-wide inventory as items are placed in carts.

  • Smart Billing Interface

    LCD touch-interface on the cart for instant price verification and discounts.

  • Heatmap Analytics

    Tracking cart movements to provide store owners with customer flow heatmaps.

Visualizing the Interaction

Dynamic UI Mockup placeholder representing the Cart Interface.

Technologies Used

Node.js
MongoDB
React.js
Arduino / ESP32
MQTT / Socket.io
AWS Lambda
Kiran Patil

Kiran Patil

Lead Full Stack Developer

My Role

As the lead architect, I was responsible for the end-to-end development of the system. This included designing the IoT hardware communication layer, implementing the real-time websocket server, and building the responsive administration dashboard.

System Architecture

IoT Cart

Edge Computing

MQTT Broker

Data Transport

Node.js API

Business Logic

React Dashboard

Data Visualization

Screenshots & Demo

Demo
Main Admin Dashboard

Interactive Video Walkthrough Placeholder

Challenges Faced

  • Hardware Latency: Reducing the delay between item detection and UI update to sub-500ms.
  • Network Reliability: Handling intermittent Wi-Fi drops in large warehouse-style environments.
  • Sensor Noise: Implementing Kalman filters to stabilize weight sensor readings during cart movement.

Key Learnings

IoT Protocols

Mastered MQTT for reliable device-to-cloud communication.

Edge Security

Implementing secure firmware updates for remote IoT devices.

UX for Hardware

Designing simplified UIs for non-technical retail users.

Results & Impact

The implementation of SmartCart in a pilot retail environment resulted in a **40% reduction** in checkout times and a **15% increase** in inventory accuracy within the first month.

40%
Faster Checkout

15%
Revenue Boost

Future Enhancements

Computer Vision Integration

Adding cameras for visual item verification to supplement sensor data.

AI-Powered Recs

Personalized product suggestions on the cart screen based on shopping history.

Project Links