Wolyst utilizes machine learning algorithms to analyze historical sales, inventory, and external factors to generate accurate demand forecasts for foodservice operators. This data-driven approach optimizes ordering and inventory management, reducing food waste and improving profitability across multiple restaurant locations.
Funding
Funding not disclosed
Founders
Product
Problem
Foodservice operators often struggle with inaccurate demand forecasting, leading to over-ordering, spoilage, and increased costs, or under-ordering, resulting in lost sales and customer dissatisfaction. Managing inventory across multiple locations and optimizing menu profitability further compounds these challenges.
Solution
Wolyst offers an AI-powered demand forecasting and data analytics platform designed to optimize ordering, inventory management, and menu planning for restaurants. The system centralizes historical data, including sales, inventory, purchases, recipes, and supplier information, across all restaurant locations. Machine learning algorithms then combine this internal data with external factors such as weather, holidays, and local events to generate accurate daily sales forecasts. These forecasts enable operators to optimize purchasing, minimize waste, maintain optimal stock levels, and improve overall profitability. The platform also provides actionable recommendations for menu optimization, such as identifying underperforming items and suggesting pricing adjustments.
Target Audience
Wolyst targets foodservice operators, including multi-location restaurants and restaurant groups, seeking to improve efficiency, reduce waste, and increase profitability through data-driven decision-making.
Features
- Centralized data integration from sales, inventory, purchasing, and supplier systems across multiple locations
- Machine learning algorithms that incorporate external factors like weather and events for enhanced forecast accuracy
- Daily sales forecasts at the location and menu item level
- Automated purchase order recommendations based on forecasts, stock levels, and supplier terms
- Real-time alerts for potential stockouts and excess inventory
- Menu profitability analysis with recommendations for item removal, ingredient changes, and pricing adjustments