🚀
Logistics & RetailDeployed

Inventory Management System

Client

Distributor

Timeline

3 Weeks

Platform

Web & Mobile API

Team

4 Engineers

Project Overview

The Problem: Warehouse staff couldn't locate stock efficiently, and purchasing managers were ordering too late.

The Need: A barcode-driven system for exact shelf-level tracking and predictive reordering.

Why it Mattered: Stockouts were costing the distributor major client accounts.

Core Goals

  • Shelf-level accuracy
  • Barcode integration
  • Predictive alerts

Business Problems

Lost Stock

Items were in the warehouse but couldn't be found due to poor logging.

Technical Challenges

Hardware Integration

Integrating web software seamlessly with rugged warehouse barcode scanners.

Research & Discovery

1

Warehouse Mapping

Designed a digital twin of the physical warehouse racks and bins.

Our Solution

We architected a custom ecosystem broken down into specific operational modules.

Barcode Engine

Instant scanning for inward and outward stock movement.

Smart Alerts

Predictive algorithms triggering reorder alerts based on sales velocity.

Location Manager

Exact Aisle/Rack/Bin mapping for every SKU.

Development Process

Discovery & Requirements

Milestone 1

UI/UX Design Prototyping

Milestone 2

Database Architecture

Milestone 3

Backend API Development

Milestone 4

Frontend Implementation

Milestone 5

QA & Load Testing

Milestone 6

Deployment & Training

Milestone 7

System Architecture

User Devices
CDN / Load Balancer
Auth API
Core Services
Primary Database & Cache

Technology Stack

Frontend

ReactZustand

Backend

NestJSTypeScript

Database

PostgreSQL

Cloud & DevOps

DockerAWS

Core Features Delivered

Barcode Scanning
Aisle Mapping
Reorder Alerts
Batch/Expiry Tracking
Supplier Portal
Audit Logs

Interface Showcase

Desktop UI View
Desktop UI
Mobile View
Mobile UI

Performance Metrics

99.9%

Stock Accuracy

+40%

Fulfillment Speed

-90%

Stockouts

Project Statistics

15,000+

SKUs

8,000

Scans/Day

3

Warehouses

Business Impact

Warehouse picking speed increased by 40% due to exact bin locations.

Reduced capital tied up in dead stock by predicting accurate reorder points.

Achieved 99.9% physical-to-digital stock accuracy.

Transformation

Before Jeevix

  • ✗Lost items
  • ✗Unexpected stockouts
  • ✗Slow fulfillment

After Jeevix

  • ✓Exact bin locations
  • ✓Automated alerts
  • ✓Rapid picking

"We finally have total visibility. The barcode integration is lightning fast."

Client

Operations Manager

Logistics Co

Placeholder Client

Frequently Asked Questions

Development timelines vary based on complexity, but most of our enterprise platforms are delivered within 3 to 6 months from discovery to deployment.

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