End to End Delivery Management Case Study

Role Expectation

In the capacity of a Delivery Manager, you are responsible for defining and executing a complete delivery strategy. This includes shaping the solution architecture, establishing a delivery plan, initiating the program, driving execution, and ensuring the solution is deployed successfully from project start-up through to production rollout.

Business Challenge

Client Overview & Context

The client is a prominent multinational organization specializing in supply chain management across logistics, distribution, and operations. Their core focus is the food ecosystem—serving retail, quick-service restaurants (QSRs), and full-service restaurants (FSRs). They support a wide network of global consumer brands as well as regional and local players, ensuring every partner receives dependable, tailored supply chain support.

A key part of their technology landscape is a digital assistant designed to streamline and simplify supply chain activities. It offers a personalized, intuitive, and scalable interface that provides timely access to operational data and insights. All workflows are designed with a strong customer-first orientation.

Project Scope

Functional Scope

• Deliver an end-to-end digital solution for managing food-centric supply chain operations, including smart web and mobile applications that support inventory planning and delivery workflows.

• Maintain an enterprise ordering platform where authorized business users can place orders with one or more external suppliers.

• Implement data tools and technologies that enable data collection, analysis, better forecasting, and operational decision support.

• Automate inventory, order management, and product tracking to offer real-time visibility into stock levels, fulfilment progress, and delivery timelines.

• Provide insights on demand-and-supply variations to help optimize production and distribution cycles.

• Build or maintain a near real-time monitoring capability for production support teams.

• Adopt Agile delivery practices and establish a data-driven execution framework.

• Maintain comprehensive documentation in Azure DevOps Wikis and create a long-term knowledge repository.

Non-Functional Requirements (NFRs)

Performance

• Conduct performance testing during the system testing phase.

• Use industry-standard technologies to support high-volume data processing with minimal latency.

Usability

• Ensure the web application uses responsive design principles.

Security

• Track all data operations, capturing previous and updated values along with user ID and timestamp.

• Enforce role-based authorization for all secure resources.

Availability

• Users should consistently receive system responses under standard workloads.

• Aim for a service uptime of at least 99.99%.

Scalability

• Support automatic scaling to manage fluctuating workloads.

• Enable service-level scaling rather than scaling at the entire infrastructure level.

Maintainability

• Provide developers with sufficient diagnostic and error information to resolve production issues confidently.

• Ensure defects with reproducible behaviors can be resolved without making widespread code changes.

Configurability

• Administrators should be able to configure new environments within one business day.

Supportability

• Support teams should be able to monitor system health, performance, and resource usage to take timely corrective actions.

Extensibility

• Developers should be able to enhance or replace components without disrupting existing features.

Proposed Technology Stack

(Teams may choose equivalent alternatives based on expertise.)

• Backend & Cloud: C#, .NET, .NET Core, ASP.NET, Azure, Azure DevOps, SSO, SQL Server

• Front-End: JavaScript, TypeScript, ReactJS, HTML, CSS

• Mobile: Xamarin, Swift, Xcode, Android, Kotlin, iOS

• Data & Integrations: NodeJS, PostgreSQL, Python, SQL, Data Engineering frameworks, PowerBI, SAP Cloud

Key Expected Outcomes

• Assess the current program landscape, analyze both functional and non-functional requirements, review the product backlog, and outline a roadmap for delivering new features across web and mobile channels.

• Evaluate the existing data ecosystem and recommend tools and technologies to improve data ingestion, analytics, forecasting, and operational decision-making.

• Strengthen observability by reviewing the current monitoring setup and implementing or enhancing near real-time monitoring for production environments.

• Promote data-backed decision-making to achieve timely delivery and high-quality execution.

• Phase 2 Objective: Establish a culture of continuous improvement with a focus on lowering overall delivery costs.

Expected Milestones

Mobile Applications

• Replace Xamarin applications with native Android and iOS implementations.

• Migrate the HDD solution from Xamarin to native mobile apps.

• Upgrade the TAU (Transport Admin UI) application framework to .NET 6.0.

Test Automation

• Implement automated testing for both Android and iOS applications.

Enterprise Platform Enhancements

• Remove public access from Azure Key Vaults.

• Enable auto-scaling (up and down) for App Service Plans in non-production environments.

• Clean up unused Azure resources.

• Standardize and clean up Git repositories and associated DevOps assets.

• Configure API Management (APIM) for push notification APIs.

Data & Analytics

• Transition key reporting assets from Tableau to Power BI.

Deliverables

As the Delivery Manager, you will be responsible for defining, structuring, and delivering the program across all key project phases. Your approach is expected to cover each major dimension listed below.

You may outline your solution using a presentation, document, whiteboard tool (Miro, Mural), or any other format of your choice.

Technology Workstreams

Solution Architecture & Technical Blueprint

• Describe the end-state technology stack and illustrate the solution architecture in detail.

• Define the deployment model, including environments, scaling strategy, and security considerations.

• Highlight the Architecturally Significant Requirements (ASRs) that have a direct influence on core solution design.

• Document key technical assumptions that drive architectural decisions.

  
  

Scope & Non-Functional Requirements

Functional Coverage

• Clearly list what is included within the delivery scope and identify what is excluded.

• Ensure alignment with the main problem domain and required capabilities.

Non-Functional Expectations

• Summarize the essential NFRs such as performance, reliability, availability, security, usability, scalability, maintainability, configurability, and extensibility.

Starting the Program

Initiation Approach

• Explain how you will structure the start of the project—team setup, onboarding, technology preparation, backlog readiness, planning activities, and environment provisioning.

Delivery Framework & Execution Strategy

Incremental Delivery Roadmap

• Define key release milestones and outline how value will be delivered progressively over the project duration.

Scrum Operating Model

• Specify the sprint cadence and team rhythm you will introduce to maintain predictable and efficient delivery.

• Provide a plan to minimize idle time within sprints and ensure teams can maintain consistent flow.

Definition of Ready (DoR) & Definition of Done (DoD)

• Establish the readiness criteria for backlog items before entering a sprint.

• Define what “completed” means in your project—covering working software, documentation, testing, and acceptance.

Engineering Excellence Practices

Explain how you will ensure disciplined, high-quality engineering using practices such as:

• Continuous integration & continuous delivery pipelines for rapid feedback.

• Code quality tools, static analysis, branch policies, and peer reviews.

• A well-defined test automation strategy aligned with the test pyramid (unit, integration, API, UI).

• Mechanisms to reduce production defects through shift-left testing.

Use of AI for Productivity

• Describe how AI and GenAI tools will support documentation, code generation, test case creation, estimations, risk identification, and retrospective insights.

Risks, Dependencies & Assumptions (RDA)

• Highlight the major risks you foresee at this stage and propose mitigation or contingency plans.

• Identify dependencies across teams, vendors, environments, and data.

• Clarify all assumptions used when designing the solution or delivery plan.

Project Governance & Stakeholder Management

Governance Cadence

• Present the governance structure involving the client and internal leadership.

• Outline the communication rhythm—status reports, steering committee updates, risk reviews, and escalation paths.

Controls for Fixed-Price Delivery

• State what checks and controls you would apply if delivering under a fixed-cost engagement (scope control, baselining, change management, tracking against budget).

Performance Tracking

• Define how CPI (Cost Performance Index) and SPI (Schedule Performance Index) will be calculated and reported.

• Describe how these metrics will be communicated to clients and leadership to ensure transparency and early risk detection.

Leveraging AI/GenAI for Delivery

• Explain how AI-driven planning, backlog refinement, test automation, risk spotting, quality checks, and documentation can improve delivery speed and efficiency.

Knowledge Management Plan

• Describe how knowledge will be captured, updated, and shared—covering architecture decisions, sprint outputs, lessons learned, onboarding materials, and centralized documentation repositories.