Contact person: Business Client

Phone:Show

Email:Show

Location: Malmo, Sweden

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"Household Services App - Complete Specification
1. Overview
A digital platform connecting Customers, Admin, and Workers for household services:- Cleaning- Recycling / Transport- Gardening (mowing, snow removal)
Features:- Automated price calculation (~20% below market)- Bidding system- Live worker location- Photo verification before/after- Payment and receipt handling- AI customer support
2. Roles & Features
Customer:- Submit service request (type, area, date, location)- Get estimated price & bid- Track job status and live location- Review photos & approve or dispute- Receive digital receipt & annual report- Use AI chat (escalation to admin if needed)
Admin / Customer Service:- Approve final prices- Send counteroffers- Assign workers- Monitor job progress, images, payments, and stats- Handle disputes and compensation
Worker / Driver:- View assigned jobs- Navigate via Google Maps- Update status: 'Arrived' -> photo before; 'Completed' -> photo after- Share live GPS- Upload notes and extra photos
3. Price Calculation
Cleaning: (35 * m2) * frequency * 0.8
Example: 80 m2, 1/week -> 2240 SEK/session
Recycling / Transport: (10 * km) + (250 * hours) + (100 * volume)
Example: 12 km, 2h, 1 m3 -> 620 SEK
Gardening / Snow: (25 * m2) * season * 0.8
Example: 100 m2 lawn summer -> 2000 SEK
Season factor: Summer = 1.0, Winter = 1.2
4. Subscription Packages (Annual)
Cleaning: 4/year (Quarterly)
Recycling: 4/year (Quarterly)
Gardening: 2/month (Year-round)
Snow Removal: As needed / 4/season (Nov-Mar)
Flow: Estimate -> Admin approval -> Job scheduled -> Worker status updates -> Customer review-> Payment released -> Receipt generated
5. Job Status Flow
pending -> negotiating -> accepted -> in_progress -> completed -> customer_review -> paid /
disputed -> receipt_generated
6. Photo Verification & Approval
Worker: 'Arrived' -> photo before
Worker: 'Completed' -> photo after
Customer: Approve -> payment released
Customer: Dispute -> upload evidence -> Admin resolves
7. Payment Flow
Reserved at booking
Released after customer approval
Held if disputed until admin resolution
8. AI Support
Handles common questions
Escalates to admin if AI cannot answer or customer requests human help
9. Database Structure
users: userId, role, name, email, phone
requests: requestId, customerId, serviceType, parameters, approxPrice, adminApprovedPrice,
status, assignedWorkerId, scheduledDate
jobs: jobId, requestId, workerId, startTime, endTime, arrivalPhotoUrl, completionPhotoUrl,
gpsCoordinates
payments: paymentId, requestId, amount, status, timestamp
ai_chat_history: chatId, userId, messages, escalated
10. Technical Stack
App: Flutter / Dart
Backend: Firebase Firestore + Functions
Storage: Firebase Storage
Payment: Stripe / Klarna / Swish API
Maps: Google Maps API
Notifications: Firebase Cloud Messaging
AI Chat: GPT / NLP + fallback to admin" (client-provided description)