Bernt
58ca4e68db
- Go backend API with full CRUD for all modules (CRM, Sales, Finance, HR, Legal, Marketing, Support, Purchase, Inventory, Projects, Automation, Analytics) - Rust analytics service with parallel report generation - C runtime with POSIX shared memory IPC - PostgreSQL schema with 30+ tables, full migrations - Redis cache, sessions, pub/sub - Kafka event streaming with Zookeeper - WebSocket hub for real-time updates - Automation engine with cron jobs, workflows, event triggers - JWT authentication, multi-tenant from start - Docker Compose with all services - Nginx reverse proxy with rate limiting - Integration tests passing - Feature gap analysis against Fortnox/Odoo/Visma Refs: BOC-001
Retail Site Analytics
VIMS instance for retail-analytics.
Related Article
/insights/retail-site-selection-data/
Anomaly Classes
- foot_traffic
- storefront_condition
- signage
- parking
- competitor_presence
Quick Start
- Add training images to
data/raw/ - Annotate using LabelImg (YOLO format)
- Run preprocessing:
python src/detector.py - Train model:
python src/detector.py --train - Run inference:
python src/detector.py --predict data/test/image.jpg
API
Once deployed, access via:
- REST:
POST /api/retail-analytics/predict - WebSocket:
ws://host/ws/retail-analytics/alerts