── CASE STUDIES

BUILT. DEPLOYED.
RUNNING IN PRODUCTION.

Every project in our portfolio is live, running on real data, and delivering measurable results for real businesses. No demos. No staging environments. No proof of concepts gathering dust.

4+
Systems Deployed
100%
In Production
3
Industries Covered
YOLOv8 Computer Vision E-Commerce

RETAIL SHELF MONITORING SYSTEM

A retail chain was losing significant revenue to out-of-stock products that staff were not catching quickly enough. Manual shelf checks were slow, inconsistent, and expensive to scale across multiple store locations.

We built a real-time YOLOv8 computer vision system that monitors shelf stock across 200 SKUs using existing store cameras. The system detects out-of-stock conditions within seconds and pushes alerts directly to the store management dashboard, triggering restocking workflows automatically.

200+
SKUs Monitored
Real-Time
Detection Speed
Live
In Production

TECHNICAL STACK

YOLOv8 custom-trained on retail dataset
FastAPI backend with real-time inference
WebSocket integration with store dashboard
Docker deployment on edge hardware
Automated restocking alert pipeline
Status
Deployed and Running in Production

TECHNICAL STACK

LangChain multi-tool autonomous agent
Supplier API integrations for stock data
Automated PO generation and email dispatch
Approval workflow with human checkpoint
PostgreSQL logging and audit trail
Status
Deployed and Running in Production
LangChain AI Agents Manufacturing

PROCUREMENT AUTOMATION AGENT

A manufacturing company was spending hours each week manually checking supplier stock levels, comparing prices, and raising purchase orders. The process was slow, error-prone, and tied up senior staff in administrative work.

We built an autonomous LangChain agent that monitors supplier stock levels, compares prices across vendors, generates purchase orders, and sends approval requests without any human input. The agent runs on a schedule and only escalates when exceptions occur.

Zero
Human Input Required
24/7
Autonomous Operation
Live
In Production
CNN Healthcare FastAPI

MEDICAL IMAGE CLASSIFICATION API

A healthcare clinic needed a faster, more consistent method for reviewing X-ray images. Manual review was creating bottlenecks and the volume of images was growing faster than the clinical team could handle.

We built a CNN-based X-ray classification system with Grad-CAM explainability that highlights the regions of each image that influenced the classification decision. The system is integrated into the clinic workflow via a REST API and provides clinicians with a confidence score and visual explanation for every result.

Grad-CAM
Explainability Included
REST
API Integration
Live
In Production

TECHNICAL STACK

Custom CNN trained on X-ray dataset
Grad-CAM visualisation layer
FastAPI REST endpoint with confidence scoring
HIPAA-aware data handling and logging
Integrated into existing clinic dashboard
Status
Deployed and Running in Production

TECHNICAL STACK

n8n automation pipeline with 12 nodes
Shopify, WooCommerce, and Etsy integrations
Automated email sequences via SendGrid
Review collection and response automation
Real-time inventory sync across all 3 platforms
Status
Deployed and Running in Production
n8n Automation E-Commerce

E-COMMERCE AUTOMATION SUITE

An e-commerce business selling across three platforms was spending hours each day manually processing orders, sending customer emails, chasing reviews, and keeping inventory counts in sync. The manual workload was limiting growth.

We built a comprehensive n8n automation suite that handles order processing, customer communication, review collection, and inventory synchronisation across all three platforms simultaneously. The business now operates its full e-commerce back office with zero manual intervention.

3
Platforms Connected
Zero
Manual Intervention
Live
In Production

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