BluePi helps yum take quick data driven actions

Industry

QSR

Challenges

Track the impact of different factors on sales and a way to do a quick analysis

Solution

Enable the product teams to conduct experiments in the stores based on the hypothesis.

Business value

  • Data-driven decision making
  • Reduce the time to analysis
  • Made EDA and statistical analysis feasible
  • Adoption of analytics & reports
  • Technology

  • Power Bi
  • SQL Server
  • AWS EC2
  • EMR
  • Challenge

    Even though the markets have started opening up, people are still apprehensive of stepping out or ordering food online. At times like these, a quick experiment and outcome analysis becomes crucial to ensure business continuity.

    Yum brands KFC stores are spread across different geographical location, and due to COVID lockdown, and ever changing situation on the ground the demand at stores is not predictable. For example, changing containment zones and restricted movement directives by the government lead to disruption in both demand and supply. Yum was looking to build a solution that could help them understand the impact of different factors on sales and a way to do a quick WhatIf analysis, like what would be the impact on sales if a store moves from an orange zone to red zone.

    Solution

    BluePi built WhatIf dashboards, that not only helped Yum perform hypothesis testing but also enable the product teams to conduct experiments in the stores based on the hypothesis.

    The dashboards allow them to do a test on various parameters and also benchmark pre and post COVID periods.

    Salient features:

    • Capability to do statistical analysis, such as corelation analysis.
    • User can control the number and type of stores as part of the. analysis.
    • User can decide the control stores for experiments like launching a new delivery channel.

    Business value delivered

    Data-driven decision making

    • Reduce the time to analysis and time to market
    • Made EDA and statistical analysis feasible for business analyst
    • Adoption of analytics and dashboard-based reports

    Technology deployed

    • Power Bi
    • SQL Server
    • AWS EC2
    • EMR

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