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Case Study

Seamless customer integration with host of services

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The Client

Largest international chain of convenience stores with over one million orders per month

Challenges

  • Disparate systems for business intelligence, data analysis, and visualization
  • Lacks the capability to provide detailed analytics needed for the below aspects
  • Improve known customers into loyalty members
  • Improve proactive services
  • Improve personalized experience
  • Increase revenue opportunities

Solutions

  • A Databricks solution that helps in leveraging the on-demand scalability and massive parallel processing capabilities
  • The solution involves Databricks delta as a landing zone, transforming data using Pyspark and loading it into Databricks delta
  • Providing multiple APIs for downstream consumption
  • Azure data factory for orchestration, APIGEE for API Management, Azure Kubernetes Service for API deployment, Redis cache for API performance tuning, and Power BI for visualization

Benefits

  • An integrated and 360’ view on customer buying patterns, trends, inventory, and other operational parameters
  • Agility in reacting to changes in customer buying patterns and competition scenario
  • Potential to cross-sell to customers
  • Ability to target the right customers with the right promotions and having measurable metrics after the campaign
  • Better insights into customer buying channels as well as product preferences
Seamless customer integration with host of services
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