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Certificate of Completion

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THIS ACKNOWLEDGES THAT

HAS COMPLETED THE MAY-SUMMER 2024 DATA SCIENCE BOOT CAMP

Ping Wan

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Roman Holowinsky, PhD

JUNE 10, 2024

DIRECTOR

DATE

TEAM

AI-powered solutions for the restaurant industry

Evaristo Villaseco, Ping Wan, Davood Dar, Nolan Schock, Guanqian Wang, Amir Kazemi-Moridani

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In the US alone, restaurants waste 25bn pounds of food every year before it reaches the consumers plate and independent restaurants are a large driver of this. In this project we have partnered with Burnt (https://burnt.squarespace.com), whose mission is to help restaurants automate their back-of-house operational flow: recipe management, inventory forecasting, analysis and optimization of costs. Restaurants on average use 5-10 different suppliers with varying ways of describing their supplies. To tackle this, we will employ a large language model (LLM) and fine-tune it to process textual description of the supplies and categorize them into predefined classes. We will train our model on collected and unlabelled real-world data provided by Burnt. This will not only aid in streamlining inventory management and procurement, but will also impact management on food costs, menu item gross product, and budget forecasts.

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