Sitka Gear

Our engagement began with a full technical audit of the storefront. We reviewed infrastructure, code quality, integrations, deployment pipelines, and development workflows to understand how the platforms operated in practice.

The outcome was a structured set of recommendations highlighting opportunities to improve system scalability, streamline development workflows, and support long-term architectural evolution. Based on these insights, we prepared a development roadmap combining near-term improvements with a longer-term platform vision.

Soon after, we took technical ownership of both platforms and assembled a cross-functional team including a solution architect, senior BigCommerce developers, QA engineers, and a project manager. The team quickly integrated with the client’s existing workflows and began delivering steady improvements.

One early win was optimizing the management of products across various systems. Previously, creating new products involved manual duplication across multiple platforms, which was both time-consuming and prone to errors. We developed an integration that enables product data to be created once and reused across systems through a simple interface. The integration reduced manual work for content teams and improved catalog consistency while broader platform improvements continued.

In parallel, we worked closely with the client’s business team to redesign key user flows and improve the overall shopping experience. The scope included designing and implementing new flows for PLP and PDP, along with introducing a more intuitive menu navigation.

In parallel, the team strengthened the technical foundation of the platforms. The work covered modernizing parts of the codebase (~80% of the codebase was refactored), documenting existing solutions and requirements, refining system architecture, and addressing areas that limited scalability and stability, with around 90% of backend features fully rewritten.

The team also reviewed the client’s cloud infrastructure and monitoring setup across AWS, Vercel, and Datadog. The review produced recommendations that improved platform reliability and highlighted opportunities for future infrastructure cost optimization.

To support more predictable delivery, the team refined internal development processes. Jira was introduced for issue tracking, and collaboration workflows between product owners, developers, and QA engineers were clarified and structured.