Shortlist capture
Review saved product cards with extracted specs and Review fields labels.
Back to work
- Shopping research
- AI mobile concept
Wishsift
A shopping research app that connects product comparisons to saved evidence and personal priorities.
Designed around4 AI workflows
Project overview
Wishsift explores shopping research through a mobile experience built around a side-by-side product comparison with evidence drawers. A shopping research app that connects product comparisons to saved evidence and personal priorities. The proposed journey connects shortlist capture, compare with ai, preference brief, decision journal. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed React Native architecture.
The challenge
Shoppers need to compare saved product information without mistaking a generated recommendation for verified specifications. On a phone, the person also needs to capture information quickly, understand where an answer came from and return to the original material without navigating through a dense desktop interface.
- Keep shortlist capture and compare with ai connected within a short mobile flow.
- Make specification extraction correctable when the model misreads the input.
- Explain preference ranking through visible references or user-selected preferences.
- Keep changes, sharing and data retention under explicit user control.
Our solution
The design begins with a side-by-side product comparison with evidence drawers, using large touch targets, short task sequences and contextual sheets. Draft comparison fields from user-saved product pages. Link comparison statements to the captured source material. The companion views keep drafts, original material and accepted decisions distinct. A electric blue, white and peach visual system gives this app its own character within the collection.
- Draft comparison fields from user-saved product pages.
- Link comparison statements to the captured source material.
- Explain a suggested ordering using explicit user priorities.
- Mark missing specifications instead of filling them with guesses.
Key features
Inside the platform
Keep the reason behind every shortlist.
Original mobile interface concepts with fictional content. AI responses illustrate proposed interactions; they are not live model results.
Proposed technology stack
Proposed iOS & Android architecture using React Native and TypeScript. AI processing, storage and synchronization are design proposals for this concept, not integrations implemented by this portfolio.
- React Native
- TypeScript
- SQLite
- AI retrieval
The results
The concept defines four mobile views, four AI workflows and twelve feature areas. The next validation would ask a user to complete shortlist capture, inspect the proposed compare with ai output and correct an intentional extraction or suggestion error. Evaluation would focus on source traceability, correction effort and task completion. No usability study or business-impact measurement is claimed.
4Original mobile showcase views
4Proposed AI workflows
12Designed feature areas
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