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Case Study

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Cloud Kitchen Priority locator

Industry: Hospitality

Problem Statement

To identify “Best fit” cloud kitchen locations @ Chennai that were affordable and accessible.

Our Approach

  • Aggregated data.

  • Standardized metrics.

  • Arrived at a Priority Score.

The How

  • Model used to determine priority score for execution.

  • Aggregated data from multiple API’s to reflect the status/population/potential of the locality.

  • Created clusters.

Insights to action

  • Top 20 clusters shared for 2/3rd of targeted demographic.

  • Identified various important influencers like mealtime traffic, delivery radius, delivery time of 30 minutes.

Impact

  • 4 Cloud kitchens launched.

  • Business Potential estimated for localities within targeted demographic.

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