Case Study - Kinko

Data strategy

Kinko is a company founded in 2013 with the mission to offer its customers the possibility of stocking up without the need to visit a supermarket.

Its archetypal client is a young person, of medium to high socioeconomic level, with tertiary and/or university studies. The company is located in Uruguay and belongs to the retail industry.

The company is motivated by knowing its customers and their buying preferences to continuously improve its services and customer experience.

Industry Retail
Success Story Data Strategy
Location Uruguay

Challenges

  • Data acquisition: The data from the premises was obtained once a day, uploaded to the ERP-OPUS system during the early hours of the morning, without the possibility of real-time visualization.
  • Data visualization: Lack of dashboards to visualize trends, identify bottlenecks, KPIs, etc.
  • Operations: Need to create an IT department.
  • Administration: Manual process of supplier shipments and invoices.
  • Human Resources: Need to promote a digital culture within the company.
  • Commercial: Lack of notifications to identify deviations and monitor campaigns in real time.
  • CEO: Need to understand customer behavior in real time.

Implemented Solutions

  • Data Lake: Creation of a single repository to obtain critical business information in real time.
  • Reporting: Development of a series of dashboards for each area of ​​the company, allowing automatic and updated reporting.
  • Sales Forecast: Implementation of future predictions using data received in real time.

Benefits Obtained

  • Decreased manual work: Process automation has significantly reduced the need for manual interventions.
  • Time savings: New tools and data centralization have optimized work time.
  • Comprehensive use of Amazon Web Services (AWS): The implementation of AWS has made it possible to dispense with investments in other tools.
  • Data centralization: All relevant data is now in a single repository, making it easy to access and analyze.
  • Greater analysis capacity: The new infrastructure allows for deeper, real-time analysis of customer operations and behavior.

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