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Pet-care SaaS — Launch Spec & Competitive Analysis

🎯 What We Plan to Offer at Launch (Core Spec)

✅ Why This Spec Is Well Designed — Strengths & Market Fit

⚠️ Risks, Complexity & What to Watch Out For — Potential Pitfalls

💡 Recommendations Before Full Implementation — What to Prototype / Validate Early

Risk / Challenge Suggested Early Step / Mitigation
Complex pricing logic & edge-cases Build a “pricing engine” module and write unit tests / test cases covering many combinations (pet #, extras, holidays, time-slots, transport, packages). Verify accuracy.
Booking form & validation logic Prototype the booking form (client-side + server-side) with full validation: max-pets, slot availability, holiday windows, transport + mileage, extras, package flow. Test thoroughly with mock data.
Data model / schema design Sketch relational or document schema (services, pets, bookings, extras, pricing rules, holidays, transport logs, packages). Review for flexibility and future scalability (staff, scheduling, mobile).
First-time user onboarding / configuration UI Build a “setup wizard” UI with defaults. Test with a non-technical “pet-care provider” (could be a friend / colleague) to validate fast setup (<15 min) and intuitive flows.
Client UX for package booking vs per-visit scheduling Test with potential “pet-owner users”: mock both flows, identify confusion or communication gaps; design confirmation or schedule-review step if necessary.
Payment/cart integration Ensure booking metadata (services, pets, extras) is passed cleanly to cart/payment system. Design data transfer schema and test with at least one real payment gateway.

📈 Why This Spec Could Win — Market Position & Differentiation

🧾 Next Step: Build a Feature / Implementation Matrix & Data Model Schema

I recommend creating a shared feature matrix to track what we support at launch vs what we defer, and a data model schema (tables or JSON) that supports all the necessary entities (services, pets, bookings, extras, pricing rules, holidays, packages, transport, etc.).

This matrix + schema will help us — as CEO & CTO — plan development, identify dependencies, and avoid architectural mistakes early.

Doc generated from internal planning discussion (Lethal & team).