Modernising the Woolworths Everyday Rewards Experience through AI-Driven Engineering

Woolworths Group is Australia’s largest retailer, dedicated to creating better experiences for its 20 million weekly customers. Woolworths is committed to staying at the forefront of the industry by modernising its platforms and empowering its teams with the latest digital tools, ensuring that the Everyday Rewards (EDR) program remains a seamless, world-class loyalty experience.

The Challenge / Driving force

Woolworths Group is committed to maintaining a cohesive, high-performance digital ecosystem. To align the Everyday Rewards (EDR) NZ web platform with the broader company technology standards, Woolworths sought to migrate the site from Angular to a modern React/Next.js architecture.

The primary driver was efficiency and future-readiness. Woolworths needed to modernise the codebase without disrupting the momentum of their internal development teams. Because the EDR platform is a critical touchpoint for 100’s of thousands of customers, the migration required a partner who could guarantee technical precision while finding innovative ways to accelerate the timeline. Having been instrumental in building the original Angular application, ClearPoint was selected for our deep domain expertise and our ability to merge legacy knowledge with cutting-edge delivery methods.

The Solution / Process / Project / Approach

To meet Woolworths’s goals, ClearPoint proposed an AI-augmented migration strategy. By utilising an AI-assisted workflow, we aimed to compress the migration timeline by an estimated 35% compared to traditional manual re-coding.

ClearPoint’s approach was built on a foundation of data-driven transparency. ClearPoint conducted an in-depth analysis of the entire codebase, estimating effort on a per-feature basis to provide Woolworths with a clear benchmark for success. As the project progressed, the team evolved its toolkit to maximise performance, transitioning from Gemini CLI tools to better performing tools and models like GitHub Copilot CLI and Claude Sonnet.

Working with the Woolworths team was a collaborative journey in balancing enterprise-grade rigor with rapid innovation. While ClearPoint operated within the robust governance frameworks necessary for a business of Woolworths' scale, their engineers leveraged AI to handle repetitive logic translation, allowing them to focus on high-value architectural refinements. This "human-in-the-loop" AI approach ensured the new React codebase wasn't just a translation, but an optimisation.

The Outcome

The project successfully transitioned the Everyday Rewards NZ site to Next.js within the projected 90-day manual timeframe – a significant achievement considering the scope included 12.5 days of additional styling requirements that further polished the user experience. By utilising AI, the team effectively absorbed these extra requirements without extending the delivery date.

The migration revealed remarkable efficiencies in core functional areas where AI assistance allowed the engineers to "fly":

• Engineering Speed: In key complex modules, the time-to-deliver was slashed. Points & Activity tracking was completed in just 1 day (vs. a 5-day manual estimate), and Communications Preferences were delivered in 1 day (vs. a 3-day estimate).
• Targeted Efficiency Gains: On a specific set of tasks totaling a 32-day manual estimate, our AI-augmented team completed the work in only 19 days—representing a 40% increase in velocity for those features.
  

Key Learnings

Tool Selection is Critical: Not all AI tools are created equal for enterprise migrations. While initial models provided a baseline, the project reached "escape velocity" when transitioning to more advanced models like Claude Sonnet, which handled complex logic with significantly higher accuracy.

AI as a Buffer for Scope Creep: The use of AI-assisted engineering allowed the team to absorb over two weeks of unplanned styling fixes without increasing the original time estimate, proving that AI's greatest value can sometimes be its ability to handle "unplanned" work within the original budget.

Human Domain Knowledge is the Force Multiplier: AI was most effective when guided by engineers who understood the original Angular application. The AI handled the syntax, but the engineers provided the context, proving that domain expertise remains the vital "last mile" in successful migrations.

Token Management & Flow: High-velocity AI development requires proactive management of API limits and token usage. Ensuring developers have unconstrained access to high-tier models is essential for maintaining the "flow state" required for 40%+ efficiency gains.

"Modernising the Everyday Rewards website was a highly collaborative journey between our Loyalty Engineering team and ClearPoint. We needed a partner who understood our legacy systems and could work alongside us without disrupting our internal momentum. By combining our team's domain expertise with ClearPoint’s AI-assisted innovation, we achieved remarkable efficiency gains—reducing delivery times on complex modules and ensuring the new codebase is a true optimisation built for the future"

Shannon Evans, Head of Digital Technology - Loyalty