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Recibidas : Estas son todas las innovaciones que Team for the Planet ha recibido a través de su formulario de presentación de innovaciones

Restaurants know precisely when, what, and how much they'll order, produce and sell

El efecto palanca utilizado
Sufficiency
El sector empresarial
Other
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Fecha de presentación 11 de julio de 2023 Fundadores Maya Hamadi Urbanización Paris, France, Francia

El proyecto en detalle

Nota: este formulario debe ser cumplimentado en su totalidad por las personas que proponen la innovación.

¿Qué problema se ha resuelto?

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)

¿Cómo se resuelve?

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

¿Quiénes son los clientes potenciales?

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

¿En qué se diferencia esta solución?

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