Data Analytics
at ZAMP

ZAMP is the house of Brands behind the operation of Burger King, Popeyes, Starbucks, and Subway in Brazil. In my 8 weeks as a data analytics Intern, I was tasked with optimizing the supply chain of Burger King and Popeyes. The main issue the over 1,200 stores faced was shortage of critical supplies at the stores. Analyzing why a store was out of stock took hours of manual labour looking through many different platforms and datapoints. 

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Thus, I was tasked with training an AI agent that would integrate all the different data platforms ZAMP, navigate the data, analyze it, and provide insight on why the shortage occured. This exposed faults in the supply pipeline that would otherwise go unnoticed. 

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The biggest challenge was understanding all the different data points available, where they were stored, and how to interpret them. The sheer amount of data was astonishing - the largest dataset I found was over 2 billions lines long!

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By the end of my 8 weeks, the agent could answer just about any question related to the supply chain of Burger King and Popeyes in a matter of minutes. It also created visualizations of graphs and provided analytical insights to employees that could be missed with a normal analysis.

 

The agent allowed for over 90% time efficiency for employees by reducing the platforms used from 3 to just the agent. This practically eliminates the need for the company's PowerBI models, cutting costs even further.

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Overall, this internship taught me just how powerful data analytics can be, especially when paired with artificial intelligence. I am excited to see and contribute to AI and data analysis in my future career!