Key Facts
V2 AI delivered a production-ready, greenfield upgrade to a self-service platform for a leading player in the retail sector.
The solution unlocked new revenue streams by expanding the platform across new channels, enabling access to new customer segments.
Claude Code enabled a step-change in delivery velocity, reducing time-to-market by more than 80% (from ~2 years to ~4 months) while maintaining high standards of reliability, data consistency, and platform performance.
Delivered with 50% fewer engineers, the approach significantly reduced development cost as Claude Code transformed every aspect of project delivery from architecture to implementation and testing.
It supported proactive risk identification and resolution to maintain uninterrupted engineering momentum. For example, Claude Code surfaced critical 3rd-party API deprecations within 24 hours, allowing the team to rapidly adapt and avoid downstream delays.
Claude Code also accelerated confidence in production readiness by enabling the creation of a full test harness that simulated the digital retail environment in under an hour.
The Client: Enabling Self-Service Platform in Retail
A major retail network delivers popular consumer brands and products directly to customers throughout their shopping journey.
As part of its growth strategy, the client set out to expand its self-service retail platform.
The Challenge: Scaling Retail Platform While Accelerating Delivery Velocity
After a successfully launched initial version of the platform, the client wanted to extend capability to reach a wider demographic.
However, scaling required a significant integration with new platform infrastructure, critical for meeting current customer expectations and to maximise results for them.
Historically, delivering similar capabilities had required significant time and engineering effort. Previous platform development cycles extended over multiple years, limiting the client’s ability to respond quickly to market opportunities.
The client sought a new greenfield build that meets existing high standards of reliability and data integrity, with significantly improved delivery velocity to meet changing retail customer expectations.
Value Delivered: Claude Code Enabled Faster Market Expansion at Lower Cost
V2 AI delivered a greenfield upgrade to the client’s self-service platform, integrating its existing data ecosystem with cutting-edge platform infrastructure.
By integrating Claude Code into the engineering workflow, we were able to transform the way work is delivered and significantly accelerate outcomes for the client.
Accelerated Time to Market
Claude Code usage reduced delivery timelines by more than 80% from the previous 2 years to 4 months, enabling the client to launch new capabilities at a pace aligned with market demand. The client could respond quickly to new channel opportunities and remain competitive in a rapidly evolving retail landscape.
Unlocked New Revenue Streams
By extending the platform to additional online channels, the client can reach new customer segments and unlock demand from product categories previously not exposed. Existing customers can also access a broader ecosystem, increasing spend potential and driving incremental revenue beyond the original platform footprint.
Significant Reduction in Delivery Cost
By leveraging Claude Code, we were able to deliver a production-ready platform at 10x the speed of previous builds with a significantly leaner team. This represents a substantial reduction in development cost while maintaining high standards of reliability, data consistency, and user experience.
The Solution: AI-Augmented Engineering with Claude Code
V2 AI delivered a greenfield platform while fundamentally changing how the engineering was done within the organisation. Our consultants worked closely with the client team, strategically using AI to meet business outcomes.
Claude Code was embedded throughout the software development lifecycle, becoming a core part of how requirements, architecture, and implementation were connected.
From Requirements to Code Without Friction
Claude Code was integrated with Jira, Confluence, and the new platform infrastructure’s technical documentation via MCP, enabling it to work directly across product requirements and engineering context. It could:
Interpret user stories created by the product team
Understand technical constraints from the new infrastructure
Generate implementation approaches aligned to the system architecture
Generate and implement test cases
The engineering team could rapidly translate requirements into working logic while ensuring alignment with client standards and expectations at every step.
Continuous Validation from Design to Delivery
The team used Claude to first generate and iterate on detailed technical specifications, then use them to implement high-quality code. This approach surfaced risks early in the process.
By validating design decisions upfront, the team avoided downstream rework and maintained consistent alignment across multiple requirement layers throughout the build.
Adapting to Change Without Delay
A critical advantage of this approach was the ability to respond quickly to changes in external dependencies. For example, during development, the new infrastructure deprecated parts of its API that were not originally flagged. Because Claude had access to the architectural context and the latest documentation, these changes surfaced within 24 hours.
The team could pivot immediately to alternative APIs, avoiding delays that would typically only surface later in testing or production.
Accelerated Testing Through Simulation
Claude Code was also used to support testing by rapidly creating a full test harness for the new online portal. The team used it to build a simulated environment, including a mock retail website, within an hour. This allowed them to test the full loop, from campaign creation through to customer interaction and reporting throughout the development cycle.
This significantly improved confidence in system behaviour and fast-tracked approvals in a highly regulated environment.
AI-Driven Delivery Acceleration
V2 AI used Claude Code to transform how a retail platform was built, integrating requirements, architecture, and code into a single accelerated workflow.
The solution reduced delivery timelines while enabling expansion into new channels and revenue streams. The engagement demonstrates a new model for enterprise platform delivery at speed, without compromising quality or reliability.
