# Context

Create a PRD for a retail analytics application. The app will manage product collections, analyze sales (quantity, revenue, margin) from a PostgreSQL database for 2 stores, and classify products into ranges (Gamme A, B, C) to determine profitability and retention.

# Current Focus

Follow the `/create-prd` workflow to generate the PRD.

# Master Plan

- [x] Analyze the user's request for the retail application
- [x] Locate and load the `/create-prd` workflow instructions
- [x] Draft the initial PRD based on the workflow and user input
- [ ] Review and refine the PRD with the user

# Progress Log

- User provided initial requirements for the retail analytics app.
- Located the `workflow-create-prd.md` file. Reading instructions now.
- Initialized `prd.md` workspace and prepared to move to Project Discovery.
- User selected 'C'. Proceeding to Step 2: Project Discovery.
- Classified project as Retail Analytics Web App (Medium complexity, Greenfield). User chose to continue. Proceeding to Step 2b: Product Vision.
- Discovered product vision: Optimizing top-performing product collections while keeping essential complementary items, using clear statistics and a store-specific A/B/C classification system.
- User selected [P] to enter Party Mode. Running collaborative brainstorming.
- User clarified: Multi-supplier filter is needed. User sets the capacity (e.g. 400 refs for Gamme A). Gamme Z is for discontinued items.
- Finalized vision constraints: Analyze both stores globally to maximize intelligence. Export Gamme Z (and others) via an Excel template to integrate directly into the existing store management software. Moved to Step 2c.
- Drafted Executive Summary. User approved. Appending to PRD and proceeding to Step 3: Success Criteria.
- Discussing Success Criteria and M.V.P scope with the user.
- User defined success: Clear tabular view (Qty/CA/Margin/month), AI sorting assistance, overall CA/Margin increase, and easy manual override for gammes. Drafting Success section.
- User clarified: Export must include ALL changed gammes (if any), not just Gamme Z. Appended Success Criteria to PRD. Proceeding to Step 4: User Journey Mapping.
- Identifying personas and drafting their journeys in the application.
- User clarified: Single persona ('Acheteur' for both stores), usage is episodic (2-3 times a year per supplier collection change). Drafting journeys for PRD.
- User selected [P] for Step 4. Running Party Mode to enrich the Acheteur journey.
- Finalized User Journeys: Added scoring system (volume vs margin), side-by-side range comparisons, and historic evolution views. Appending to PRD and moving to Step 5.
- Evaluating Domain Requirements (Step 5). The project is Medium complexity in Retail Analytics.
- User opted to focus on core logic (traffic-driving items vs margin-driving items) and chose to Continue (skip formal Step 5). Moving directly to Step 6: Innovation Focus.
- Evaluating Innovation Focus (Step 6). Checking for signals of genuine differentiation.
- Appended Innovation logic (Tactical Speed & Zero-Learning UX). Starting Step 7: Project Type Deep Dive.
- Loaded project-types.csv. Asking user technical discovery questions for a Web Application (SPA, Browser support, Real-time needs).
- User confirmed: SPA, Chrome only, Real-Time data, No SEO needed. Appending to PRD.