Data and AI-Powered Operational Transformation at Boyner

26 October 2026

2400 x 750 Haber Görseli (26)

As Doğuş Teknoloji, in our collaboration with Boyner, we integrated our AI and data-driven solutions into their operational processes. Analysis processes gained speed, decision-making mechanisms were streamlined, and operational efficiency tangibly increased.


Operations Thinking with Data, Accelerating with AI


In retail, speed, flexibility, and timely access to the right insights are at the center of competitive advantage. Boyner Büyük Mağazacılık A.Ş. collaborated with Doğuş Teknoloji to transition its operational processes into a more agile, analytical, and data-driven structure.


Need and Objective


For Boyner, operating with an extensive operational network and high transaction volume, the objectives of the project were:

  • Streamlining decision-making mechanisms
  • Accelerating manual analysis steps with AI-powered systems
  • Relieving the operational burden on teams, enabling them to focus on data-driven strategic decisions

The Solution We Developed


We integrated our data analytics and AI-driven solutions into Boyner’s business processes. Within this scope:

  • We established a data infrastructure that directly feeds decision-making mechanisms by bringing together different operational data sources.
  • We accelerated the reporting and analysis processes of the teams with an AI-powered analytics infrastructure.

Business Results


  • Faster decision-making: Decision-making processes were streamlined; management and operations teams became able to reach the insights they need in a shorter time.
  • Speed in analysis processes: Data processing and insight generation steps gained speed with AI support.
  • Operational efficiency: Manual workload decreased; teams became able to dedicate their time to analysis and strategic work.

This transformation was not merely a technology integration; it became the construction of a smarter and more sustainable working model that places data at the center.

You can watch the details of the project and its implementation process by clicking here.

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