RestaurantOS - Sell Project

RestaurantOS is a pre-revenue decision intelligence platform for independent restaurants and small restaurant groups. It helps operators turn operational data into recommendations, model the financial impact of possible changes, and turn those decisions into action plans. The product includes a metrics dashboard, configurable operating targets and benchmarks, a rules-based recommendation engine, a financial scenario simulator, and action plans linked to recommendations. It supports English and Spanish, with configurable country, currency, and time zone settings. Weekly sales and labor cost data can be imported through a structured CSV without a POS integration. Square OAuth and data sync have been tested in Sandbox, not in production. Labor cost is the most thoroughly tested end-to-end workflow. Additional scenarios in areas such as food cost, delivery, and pricing are at varying stages of development, and some rely on manual inputs. The recorded demo walks through CSV import, a recommendation, a simulation, and an action plan using synthetic data. The financial impact shown is hypothetical, not measured customer savings. The product has been technically tested but has not yet been publicly launched and has no paying customers.