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Prescriptive Analytics for foodservice operators1-10 Employees
  • B2B
  • Early Stage
    Startup in initial stages
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Jobs at Ghostly Kitchen

Achieving operational excellence the in foodservice industry is difficult. For operators, integrating fragmented data sources into one source of truth is complex; operational procedures is time consuming & a painstaking manual process, and there's a wide learning curve to data analytics and business proficiency KPIs. As a result, mistakes drive profit margins down, increase food waste, and demoralize personnel. In the wake of the pandemic, the foodservice model has changed. Supply chain issues, reduced foot traffic, and the adoption of WFH policies allowed new verticals such as virtual concepts, ghost/cloud kitchens, hybrid models to flourish. As a result, operators are undergoing a digital transformation, embracing software to streamline operations and highlight financial opportunities. One vertical, the foodservice intelligence tools is at the precipice of a machine-learning / AI transformation. What is a time-consuming business process (inventory management, procurement) can now be solved using solved by running demand planning models.

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