Epic. 49 SYB rework UX improvements for easier submissions

General info

We’re overhauling the Sell Your Bag flow to boost submissions, reduce friction, and prepare for future AI‑enhanced matching. This Epic covers three parallel stories:

1. 49.1 Updated Dropdown Enhancements
   Improve existing dropdowns with real‑time substring search, bolded matches, proper ordering, and a new hardware field.

2. 49.2 Smart‑Match A: AI Image Upload & Data Extraction
   Radical variant: user uploads bag images first, AI analyzes photos (brand, model, size, serial) and pre‑fills form fields for quick confirmation.

3. 49.3 Smart‑Match B: Title Parser & Auto‑Fill
   Rule‑based variant: user types a single free‑text product title; the system parses and auto‑sets Brand, Model+Size, Color, Material.

We can implement either Smart‑Match A or B – or combine both in future – with dropdown fallbacks to ensure price calculations and user confirmations remain accurate.

User story (Epic level)

As a bag owner
I want a fast, intuitive listing process – whether through improved dropdowns, AI‑assisted image parsing, or smart title parsing –
So that I can register or sell my bag with minimal effort and high confidence in the details.

Acceptance criteria (Epic)

1. Dropdown enhancements are live, reducing average form‑completion time by ≥30%. Note: Can we track that in GA4?

2. Smart‑Match A: AI prototype processes images and pre‑fills ≥70% of fields correctly in user testing.

3. Smart‑Match B prototype parses free‑text titles and pre‑fills ≥70% of fields correctly in user testing.

4. Any unmatched fields default to the enhanced dropdown UI (Story 49.1).

5. All relevant UX changes validated on both desktop and iOS mobile.

6. (Data from both Smart‑Match variants logs mismatches for analytics and iterative improvement.)

Notes & future exploration:

• We must retain dropdown fallbacks to support price-calculator dependencies.

• Recording user interactions and mis‑matches will guide AI‑enhanced refinements.