Custom Software Solutions + DevOps

OmniStock Inventory Suite

A cloud-based inventory management system with IoT integration for enterprise retailers.

National Retail Co.
October 2023
8 months
OmniStock Inventory Suite - Image 1

Project Overview

Developed for a national retail chain, this system provides real-time inventory tracking across 200+ locations with IoT shelf sensors and automated replenishment. Features include predictive stock analytics, vendor management, multi-location transfers, and integration with POS systems. The solution uses microservices architecture with Kubernetes orchestration for high scalability during peak seasons.

Challenges

  • Processing 5M+ daily IoT sensor events with sub-second latency
  • Preventing inventory drift across 200+ locations
  • Training accurate demand forecasting models for seasonal products
  • Maintaining system uptime during peak holiday seasons

Solutions

  • Implemented Kafka event streaming with edge pre-processing
  • Developed blockchain-inspired reconciliation protocol with daily audits
  • Created ensemble ML models combining 12 forecasting methodologies
  • Designed regional failover clusters with hot standby capacity

Technologies Used

Java logo
Java
Spring Boot logo
Spring Boot
Kubernetes logo
Kubernetes
Google Cloud logo
Google Cloud
TensorFlow logo
TensorFlow
"This system transformed our supply chain operations. The predictive capabilities alone have saved millions in lost sales and excess inventory costs."
Lisa Rodriguez
Lisa Rodriguez
VP Operations, National Retail Co.

Project Details

Client

National Retail Co.

Duration

8 months

Team Size

12 specialists

Budget

$220,000

Completion

October 2023

Key Features

Real-time Inventory Tracking
Automated Replenishment
Predictive Analytics
Multi-location Management
Vendor Portal
Mobile Warehouse App
BI Dashboard

Achievements

Reduced stockouts by 78%
Decreased excess inventory by 35%
Handles 5M+ daily transactions
99.95% system availability

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