RESMART
RESMART provides a data-driven platform for hospitality businesses to replace fixed menus and static pricing with dynamic, demand-based offers. The platform automatically integrates price lists, warehouse inventory, costs, historical sales, competitor prices, and market trends into a single interface, then applies augmented intelligence to forecast sales and optimize menus and prices. This approach aims to increase average order values and reduce waste for restaurants, take-away services, delivery operations, and ghost kitchens.
- Hospitality & Travel Technology
- Food Technology
- Artificial Intelligence
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Hospitality businesses such as restaurants, take-away services, and ghost kitchens often rely on fixed menus and static pricing, which limits their ability to adapt to fluctuating demand, competitor pricing, and varying customer preferences. This rigidity leads to missed revenue opportunities, food waste, and suboptimal average order values.
Solution
RESMART provides a data-driven platform that automatically collects and organizes key business data—including price lists, warehouse inventory, costs, historical sales, competitor prices, and market trends—into a single, accessible interface. The platform applies augmented intelligence to identify customer segment preferences based on consumption occasions and forecast future sales. These insights enable businesses to create dynamic menus and prices that align with demand, location, and competitive context. The result is higher average orders and bills, reduced waste, and full control over pricing strategy through an intuitive web interface.
Target Audience
Primary customers are hospitality businesses, including restaurants, take-away services, delivery operations, and ghost kitchens, that seek to improve profitability through data-driven pricing and menu optimization.
Features
- Automated data integration of price lists, warehouse, costs, historical sales, competitor prices, and market trends
- Sales forecasting algorithms that predict future demand based on consumption occasions and customer segments
- Dynamic menu and price optimization tailored to location, competitor pricing, and customer preferences
- User-friendly web interface accessible from laptop, tablet, and smartphone
- Integration with existing management systems and 100% customizable configuration
- Dashboards and reports to support strategic decision-making
- Secure server for data management and protection, with system updates and new releases included