麦当劳如何使用 ML 优化餐厅选址.pdf

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1、2024 Databricks Inc.All rights reserved1How McDonalds How McDonalds Uses ML to Uses ML to Optimize Site Optimize Site SelectionSelectionKurt Schuepfer&Pat WilkinsKurt Schuepfer&Pat Wilkins06/13/202406/13/20242024 Databricks Inc.All rights reserved2024 Databricks Inc.All rights reserved2About UsAbout

2、 UsEnterprise Data,Analytics,&AI at McDEnterprise Data,Analytics,&AI at McDPat WilkinsSr.Manager in McD EDAA teamInterests in scalable solution architecture,customer&geospatial analyticsKurt SchuepferSr.Manager in McD EDAA teamInterests in machine learning,statistics,and deep learning2024 Databricks

3、 Inc.All rights reserved2024 Databricks Inc.All rights reservedMcDMcD as a Real Estate as a Real Estate BusinessBusinessMcDMcD leveraging ML/AI leveraging ML/AI across the business across the business Operating as one Operating as one McDMcD3What we plan to coverWhat we plan to coverAccelerate the A

4、rches Property&Equipment valued at$42 billionBeginning fastest growth phase in company historyProblem statementDataMethodologyResultsDigital standardization to become more efficient at scaleFirst step to quicker innovationAdvancing McDonalds ML techniques to support decisionAdvancing McDonalds ML te

5、chniques to support decision-making around making around new site selection covers several areasnew site selection covers several areas32024 Databricks Inc.All rights reserved2024 Databricks Inc.All rights reserved33 years to get to 10,000 restaurants8 years later reached 20,000 restaurants7 more ye

6、ars to reach 30,00040,000 restaurants globally in 20224McDonalds from a Real Estate ViewMcDonalds from a Real Estate ViewMcDonalds reaching fastest growth phase in its historyMcDonalds reaching fastest growth phase in its history1 10,000 20,000 30,000 40,000 50,000#of Restaurants19551988199620032022