Case study
CEaSS
Mar 2026 — Present
Pet Ecommerce with AI-assisted selling
A pet commerce platform in progress, designed from UX analysis to development with AI-agent support moments.
Tools & languages
Next.js · TypeScript · React · AI-assisted UX (in build)
Role
End-to-end Product Ownership
SSituation
Pet buyers face overwhelming choices and low-confidence decision paths in typical commerce experiences.
TTask
Build a guided buying journey where AI agents support product discovery and conversion decisions.
AAction
01Defined product architecture and key user journeys from scratch.
02Designed guided discovery-to-purchase UX checkpoints.
03Planned AI agent interaction points to support intent and reduce drop-offs.
RResult
Established a strong product and UX direction for phased rollout.
Created a scalable base for future automation-led commerce improvements.
Learnings
AI assistance is most effective when tied to user decision timing, not just recommendation display.
Image slots (draft)
[Image] User journey map
[Image] Core UI screens
[Image] AI agent interaction moments