Product Direction · AI-Assisted Building
Storage Resale Assistant
A private, iPhone-focused application designed to turn storage-sale inventory into organized, reviewable resale listings.
Mobile inventory workflow
Identification & listing drafts
Release validation
Start with an everyday bottleneck.
Selling stored items involves a surprising amount of repeated work: identifying an object, checking comparable asking prices, organizing photos, writing a listing, and remembering what has sold. I framed that sequence as a single mobile workflow, built around the moment an item is photographed.
Design the decisions around the person.
I directed the product and used AI-assisted building to develop capture, identification, inventory, pricing research, and listing preparation. The workflow retains evidence with each item and flags uncertain identification for review. Asking-price comparisons inform a decision; they are not presented as verified sale prices or guaranteed value.
Keep the whole item lifecycle visible.
The application organizes items from draft and review through listing and sale, with editable copy, buyer-reply drafts, and scheduled price reviews. Its intended publishing workflow requires approval, while Facebook posting uses a manual handoff. The portfolio illustration shows this product logic without exposing private inventory or connecting to seller accounts.
A developed product, with work still to prove.
The application has been developed, but release validation remains outstanding. The documented gates include marketplace publish, revise, and withdraw checks, a controlled production listing, and complete physical iPhone item journeys. The project demonstrates my product thinking and iterative use of AI; it does not claim commercial adoption or resale revenue.