kafeasist is an AI-powered POS and restaurant management platform that transforms raw sales data into actionable insights for cafe and restaurant owners. The system provides real-time operational tracking, AI-generated recommendations, and deep-learning-based footfall forecasting to optimize staffing and menu decisions. Its mobile app enables owners to manage orders and monitor performance from anywhere.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional POS systems merely record transactions, leaving restaurant and cafe owners to manually interpret sales data, identify performance issues, and make staffing or menu decisions based on intuition rather than evidence. This often leads to missed revenue opportunities, inefficient shift planning, and an inability to quickly understand why sales fluctuate or which products underperform.
Solution
kafeasist provides a cloud-based POS and analytics platform that uses artificial intelligence to interpret business data and generate actionable recommendations. The system analyzes POS data to explain sales declines, suggest which products to remove, identify peak hours requiring additional staff, and recommend effective promotions. A deep-learning engine forecasts customer traffic by day and hour, enabling data-driven shift scheduling and preparation planning. The platform includes a real-time operations dashboard, table and order management, thermal printer and next-generation ÖKC (fiscal device) integrations, and automatic end-of-day reports. A dedicated mobile app for iOS and Android lets owners and team members view orders, add new entries, correct errors, and manage operations remotely.
Target Audience
Primary customers are cafe, restaurant, and hospitality business owners and managers who need intelligent sales analytics, operational control, and data-driven decision-making tools to improve profitability and service efficiency.
Features
- AI assistant that interprets sales data, explains performance changes, and generates specific recommendations on products, staffing, and campaigns
- Deep-learning-based footfall forecasting that predicts busy periods by day and hour for optimized shift planning and service organization
- Real-time sales and operations panel with live order tracking, table management, and instant error correction
- Cloud-based POS panel with thermal printer and next-generation ÖKC (fiscal device) integration
- Automatic end-of-day reporting that eliminates manual reconciliation
- Native iOS and Android mobile applications for on-the-go order management and operational oversight