O projeto em pormenor
NB: este formulário deve ser preenchido na íntegra pelas pessoas que propõem a inovação.
Que problema foi resolvido?
Traditional demand forecasting methods are inaccurate and time-consuming, restaurant managers spend hours poring over spreadsheets and manually adjusting their predictions. The food waste that results from this gut-instinct forecast represent 1.3B kg, 6% of global CO2 emissions (3x aviation)
Como é que isso é resolvido?
A SaaS for restaurants that uses the power of AI and Machine Learning to analyze POS data and exogenous factors, creating precise forecasts for sales, demand, production, food orders quantities, and staff scheduling, reducing food waste and labor shortage
Quem são os potenciais clientes?
Global Restaurant chains (fast food or full service chains) and Mass catering : $8B global market.
The buyers and users are CEO, COO, owners, franchisee.
Users are restaurant managers
Em que é que esta solução é diferente?
Forecast not as a feature but the heart of the business. Fully integrated, no switch costs.
Created by restaurateurs, problem lived by the founder and shared by the clients.
End-to-End Operational Optimization, impacting the waste and optimizing the labor
Sufficiency
O sector empresarial
Other
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