Latest Release v2.1.0
ReTech POS Logo

The Future of Retail
Point of Sale

EyeAI introduces ReTech POS: The world's first active-learning POS system. Experience real-time inventory prediction, automated night audits, and military-grade offline resilience.

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Choose Your Enterprise Solution

Scalable license models designed for single stores to global retail chains.

Starter Terminal

$49/mo/terminal
  • Single Store Support
  • Basic Inventory AI
  • Cloud Dashboards
  • Email Support
Start Free Trial
POPULAR

Professional

$89/mo/terminal
  • Multi-Store Sync (Up to 10)
  • Advanced Predictive AI
  • Automated Night Audits
  • 24/7 Priority Support
Get Started

Global Enterprise

Custom
  • Unlimited Stores
  • Dedicated AI Model Training
  • On-Premise Deployment Option
  • Dedicated Account Manager
Contact Sales
root@server: ~
Ubuntu / Jetson
Windows
macOS
# Quick Install Script (v2.0.0)
$ curl -sSL https://raw.githubusercontent.com/saumilpatel2425-group/POS/main/install.sh | sudo bash
> Verifying system requirements...
> Installing dependencies...
> Configured successfully.

Built for Scale & Security

Designed for high-throughput retail environments requiring 99.99% uptime.

Active Learning AI

Algorithms that self-correct based on daily sales velocity, reducing prediction error by 40% month-over-month.

Hybrid Cloud Sync

3-Tier architecture: Local Edge (SQLite) for speed, Droplet for active data, and GCP Coldline for archival.

Automated Auditing

Zero-touch nightly reconciliation. System verifies cash drawers against digital logs and flags anomalies instantly.

Inventory Intelligence

Move beyond simple spreadsheets. ReTech OS manages the entire lifecycle of your stock.

  • Predictive Purchasing: POs generated automatically based on 30-day run rates.
  • Vendor Integration: EDI support for major suppliers.
  • Loss Prevention: AI detection of scan-avoidance patterns at checkout.
  • Multi-Location Transfer: Smart balancing suggestions between stores.
Inventory Health Optimized
Stock Levels 94%
Prediction Accuracy 91.2%