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Boyner Digital Transformation: Empowering People, Data & Technology

Customer
Boyner
Project manager on the customer side
Cihan Yildiz
CIO
Year of project completion
2025
Project timeline
August, 2024 - November, 2025
Project scope
2000000 subscribers
Goals

This project represents one of Boyner’s most critical strategic transformation initiatives, directly sponsored and led by the CTO under the newly established Digital Transformation & Governance Directorate.
It was positioned not as an IT upgrade, but as a strategic investment reshaping Boyner’s business model—uniting technology, data, and people under a single AI-driven vision.

Project Results
The initiative elevated Boyner’s digital maturity by integrating enterprise architecture, process automation, and AI-assisted decision-making across all domains of the organization.
By aligning with Boyner’s long-term strategic priorities—customer experience excellence, operational agility, and data-driven growth—the project became the foundation for sustainable innovation and omnichannel scalability.

Executive leadership provided continuous sponsorship and governance throughout the implementation, ensuring alignment between transformation goals and business outcomes.
As a result, Boyner achieved measurable strategic gains:

  • +40% application performance improvement

  • +35% cloud cost efficiency

  • +25% faster decision cycles

  • +20% increase in employee satisfaction

  • +10% customer satisfaction (NPS) uplift

This transformation positioned Boyner as a benchmark in AI-enabled retail excellence, embedding digital intelligence into every layer of its operations and strategy.

The uniqueness of the project

The project’s uniqueness lies in its end-to-end transformation of an entire enterprise ecosystem into an AI-driven, self-learning organization.
It introduced a new Microservice + AI Architecture that modernized legacy systems without downtime, enabling real-time scalability and predictive decision-making.
A custom-built AI governance layer connected business processes, data, and technology — turning automation into intelligence.
Unlike typical modernization programs, every phase of this initiative was designed and implemented entirely in-house, merging technical innovation with cultural evolution.
By embedding AI assistants, data governance, and BPMN-driven workflows across operations, the organization achieved measurable impact:
+40% faster system performance, +30% higher process efficiency, +25% faster decisions, and +10% improvement in customer satisfaction.
This project stands out as a model of how AI can redefine retail and e-commerce operations by aligning people, data, and technology under one digital brain.

Used software

The project was built on a fully modernized, cloud-native technology stack combining scalability, automation, and AI enablement.
Key platforms and systems included:

  • Microsoft Azure (OpenAI Services, Container Apps): Core cloud platform for AI integration, microservice deployment, and infrastructure scalability.

  • .NET 8 Framework: Foundation for modular microservice development, ensuring high performance and security.

  • GitLab (CI/CD Pipeline): Continuous integration and delivery environment enabling automated testing, versioning, and deployment.

  • Atlassian Jira & ServiceDesk: Workflow automation and ITIL-compliant process management for demand, release, and problem tracking.

  • MongoDB & PostgreSQL: Hybrid database layer supporting high-speed data access, reliability, and scalability.

  • DAMA Framework: Global standard for data governance applied across data quality, masking, catalog, and discovery processes.

  • BPMN 2.0 Standard: Modeling framework used to redesign and automate business and IT processes.

  • Docker & Kubernetes: Container orchestration layer enabling high availability and dynamic resource scaling.

Together, these systems established a secure, AI-augmented enterprise environment — enabling real-time insight generation, faster delivery, and seamless integration across omnichannel retail operations.

Difficulty of implementation

The implementation was highly complex due to the project’s multi-dimensional nature, combining technology modernization, data governance, process automation, and cultural transformation under one unified program.
Migrating legacy systems to a cloud-native microservice architecture while maintaining uninterrupted retail and e-commerce operations required advanced planning, risk mitigation, and continuous testing.
Five parallel workstreams — Technology, Data, Process, Governance, and Culture — operated simultaneously, involving 77 contributors across multiple disciplines.
Integrating AI-driven automation into live ITIL processes added additional complexity, as it demanded seamless orchestration between Jira, GitLab, and ServiceCore platforms.
Equally challenging was driving behavioral and organizational change — aligning all stakeholders with new agile, AI-first ways of working.
Despite this complexity, all milestones were achieved on time, within budget, and with 99.9% system uptime, proving the maturity and resilience of the transformation approach.

Project Description

The project represents a comprehensive digital transformation journey designed to build an AI-driven, data-centric, and people-empowered enterprise.
Its primary goal was to elevate digital maturity across five key pillars — technology, data, process, people, and culture — while ensuring seamless operations across omnichannel retail and e-commerce platforms.

Technology and Architecture:
The transformation began with the modernization of legacy systems into a cloud-native microservice architecture built on Microsoft Azure.
A proprietary AI-Driven Architecture model was introduced, integrating real-time analytics, automation, and predictive decision-making.
Using Domain-Driven Design and Event Storming techniques, the system was modularized into independent, scalable components that could evolve autonomously.
This enabled live migration with zero downtime and produced measurable outcomes: +40% faster application performance, +30% higher processing capacity, and +35% cloud cost efficiency.

Data and Governance:
A new AI-assisted Data Governance Platform, based on the DAMA Framework, centralized data security, masking, cataloging, and discovery processes.
This framework increased data accuracy by 20%, reduced security risks by 25%, and accelerated decision-making cycles by 25%.
The unified data environment allowed leadership to access consistent, reliable, and actionable insights in real time — improving both operational and customer experience outcomes.

Process Optimization:
All ITIL processes — Demand, SDLC, CI/CD, Release, and Problem Management — were redesigned in BPMN 2.0 and automated via Jira, ServiceCore, and GitLab integration.
AI-assisted testing, performance scoring algorithms, and single-branch development strategies reduced manual tasks and shortened release cycles.
As a result, process efficiency increased by 30% and project delivery times improved by 20%.

Culture and Organization:
Digital transformation was supported by a new governance model, innovation committees, and collaboration platforms.
This enabled faster decision-making, stronger ownership, and continuous improvement across teams.
Employee satisfaction rose by 20%, while organizational agility and innovation capacity increased significantly.
AI tools such as Boyner GPT, SDLC Assistant, and AI Development Assistant improved knowledge sharing and boosted employee productivity by 20%.

Strategic Impact:
The program fundamentally transformed how the organization operates, evolving from process-based to data-driven and AI-empowered management.
It established a sustainable ecosystem where technology, data, and human intelligence work together to drive continuous improvement and customer excellence.
Beyond efficiency, the project redefined the company’s digital DNA — turning AI into a strategic asset that powers future innovation in retail and e-commerce.

The Boyner Digital Transformation program has strengthened a data-driven decision-making culture across all business processes and significantly increased the company’s level of digital maturity. Employees’ digital competencies have been enhanced, while data analytics and AI-based systems improved operational efficiency. The end-to-end digitalization of the customer journey enabled more personalized shopping experiences. Through technology modernization, cloud transformation, and next-generation business applications, organizational agility has been achieved. Altogether, these initiatives have accelerated Boyner’s journey of sustainable growth centered on people, data, and technology, turning its digital transformation vision into tangible business outcomes.
Project geography
The project was implemented across the organization’s nationwide omnichannel retail and e-commerce ecosystem.
It covered all digital and physical operations — including headquarters, regional offices, logistics hubs, and more than 100 retail stores across Turkey.
The new AI-driven architecture unified data, processes, and technology between online platforms and in-store systems, creating a seamless customer and operational experience.
The initiative also established a scalable foundation for future expansion to European and Middle Eastern markets, positioning the organization as a regional benchmark for AI-powered digital transformation in retail.
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