turash/PRODUCT_SERVICE_DISCOVERY_CONCEPT.md

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# Product & Service Discovery: "I Don't Know Who Has What" - Full Concept
## Executive Summary
This document provides a complete concept for implementing a **Universal Resource Discovery** system that allows users to find products, services, skills, and resources (both from businesses and community members) through a unified search and matching platform. This extends the existing industrial symbiosis matching engine to include consumer products, services, and community resources.
---
## Problem Statement
In small cities like Bugulma, residents face a critical information gap:
- **"I need X, but I don't know who has it"**
- Products and services exist but are hard to discover
- Information is fragmented across social media, word-of-mouth, and physical locations
- Businesses have surplus/underutilized resources but no way to connect with needs
- Community members have skills/tools but no visibility
**Current Platform Gap**: The platform currently matches industrial resources (heat, water, waste) between businesses. It doesn't handle:
- Consumer products and services
- Community member listings
- Skills and expertise matching
- Real-time availability
---
## Solution Overview
### Core Concept: Unified Discovery Platform
A single search interface that finds:
1. **Business Products**: Items/services businesses offer
2. **Business Surplus**: Underutilized resources businesses want to share/rent
3. **Community Listings**: Items/services community members offer
4. **Skills & Services**: People offering expertise or services
5. **Needs**: People looking for specific items/services
All searchable through:
- Natural language queries: "I need a van", "Who fixes computers?"
- Category filters: Products, Services, Tools, Skills
- Location-based ranking
- Real-time availability
---
## Architecture Overview
### System Components
```
┌─────────────────────────────────────────────────────────┐
│ Frontend Layer │
│ - Universal Search Interface │
│ - Product/Service Listing Pages │
│ - Map View with Discovery Layer │
│ - User Dashboard (My Listings, Requests) │
└──────────────────────┬────────────────────────────────────┘
┌──────────────────────▼────────────────────────────────────┐
│ API Layer │
│ - /api/v1/discovery/search │
│ - /api/v1/discovery/listings │
│ - /api/v1/discovery/services │
│ - /api/v1/discovery/skills │
└──────────────────────┬────────────────────────────────────┘
┌──────────────────────▼────────────────────────────────────┐
│ Discovery Service Layer │
│ - Search Engine (text, category, location) │
│ - Matching Algorithm (extends existing matching) │
│ - Availability Manager │
│ - Notification Service │
└──────────────────────┬────────────────────────────────────┘
┌──────────────────────▼────────────────────────────────────┐
│ Data Layer │
│ - product_listings (business products) │
│ - service_listings (business services) │
│ - community_listings (community items/services) │
│ - skill_profiles (user skills) │
│ - discovery_requests (needs/wants) │
└───────────────────────────────────────────────────────────┘
```
---
## Data Model
### 1. Product Listings (Business Products)
**Purpose**: Businesses list products they sell/offer
```sql
CREATE TABLE product_listings (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
organization_id TEXT REFERENCES organizations(id) ON DELETE CASCADE,
site_id TEXT REFERENCES sites(id),
-- Product Information
name VARCHAR(255) NOT NULL,
description TEXT,
category VARCHAR(100) NOT NULL, -- 'tools', 'equipment', 'materials', 'food', etc.
subcategory VARCHAR(100),
brand VARCHAR(100),
model VARCHAR(100),
-- Pricing
price DECIMAL(10,2),
price_unit VARCHAR(50), -- 'per_item', 'per_hour', 'per_day', 'per_month'
currency VARCHAR(3) DEFAULT 'EUR',
negotiable BOOLEAN DEFAULT false,
-- Availability
quantity_available INTEGER, -- NULL = unlimited
availability_status VARCHAR(20) DEFAULT 'available', -- 'available', 'limited', 'out_of_stock', 'rental_only'
availability_schedule JSONB, -- {days: ['monday', 'wednesday'], times: ['09:00-17:00']}
-- Location
pickup_location POINT, -- PostGIS geography point
delivery_available BOOLEAN DEFAULT false,
delivery_radius_km DECIMAL(5,2),
delivery_cost DECIMAL(10,2),
-- Media
images TEXT[], -- Array of image URLs
specifications JSONB, -- Flexible product specs
-- Metadata
tags TEXT[], -- Searchable tags
search_keywords TEXT, -- Full-text search field
verified BOOLEAN DEFAULT false, -- Business verification
-- Status
status VARCHAR(20) DEFAULT 'active', -- 'active', 'inactive', 'sold_out', 'archived'
featured BOOLEAN DEFAULT false,
-- Timestamps
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
updated_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
expires_at TIMESTAMP WITH TIME ZONE, -- Optional expiration
-- Indexes
CONSTRAINT fk_organization FOREIGN KEY (organization_id) REFERENCES organizations(id)
);
-- Indexes for product_listings
CREATE INDEX idx_product_listings_org ON product_listings(organization_id);
CREATE INDEX idx_product_listings_category ON product_listings(category);
CREATE INDEX idx_product_listings_status ON product_listings(status);
CREATE INDEX idx_product_listings_location ON product_listings USING GIST(pickup_location);
CREATE INDEX idx_product_listings_search ON product_listings USING GIN(to_tsvector('russian', name || ' ' || COALESCE(description, '') || ' ' || COALESCE(search_keywords, '')));
CREATE INDEX idx_product_listings_tags ON product_listings USING GIN(tags);
```
### 2. Service Listings (Business Services)
**Purpose**: Businesses list services they offer
```sql
CREATE TABLE service_listings (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
organization_id TEXT REFERENCES organizations(id) ON DELETE CASCADE,
site_id TEXT REFERENCES sites(id),
-- Service Information
name VARCHAR(255) NOT NULL,
description TEXT,
category VARCHAR(100) NOT NULL, -- 'repair', 'consulting', 'delivery', 'rental', etc.
subcategory VARCHAR(100),
-- Pricing
price DECIMAL(10,2),
price_type VARCHAR(50), -- 'fixed', 'hourly', 'daily', 'project_based', 'quote'
currency VARCHAR(3) DEFAULT 'EUR',
negotiable BOOLEAN DEFAULT false,
-- Availability
availability_status VARCHAR(20) DEFAULT 'available',
availability_schedule JSONB, -- {days: ['monday-friday'], times: ['09:00-18:00']}
booking_required BOOLEAN DEFAULT false,
min_advance_booking_hours INTEGER,
-- Service Area
service_location POINT, -- Where service is provided
service_radius_km DECIMAL(5,2), -- How far they travel
on_site_service BOOLEAN DEFAULT true,
remote_service BOOLEAN DEFAULT false,
-- Requirements
requirements TEXT, -- What customer needs to provide
duration_estimate VARCHAR(100), -- '1 hour', '2-3 days', etc.
-- Media
images TEXT[],
portfolio_urls TEXT[], -- Links to portfolio/examples
-- Metadata
tags TEXT[],
search_keywords TEXT,
certifications TEXT[], -- Relevant certifications
verified BOOLEAN DEFAULT false,
-- Status
status VARCHAR(20) DEFAULT 'active',
featured BOOLEAN DEFAULT false,
-- Timestamps
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
updated_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
CONSTRAINT fk_organization FOREIGN KEY (organization_id) REFERENCES organizations(id)
);
-- Indexes for service_listings
CREATE INDEX idx_service_listings_org ON service_listings(organization_id);
CREATE INDEX idx_service_listings_category ON service_listings(category);
CREATE INDEX idx_service_listings_status ON service_listings(status);
CREATE INDEX idx_service_listings_location ON service_listings USING GIST(service_location);
CREATE INDEX idx_service_listings_search ON service_listings USING GIN(to_tsvector('russian', name || ' ' || COALESCE(description, '') || ' ' || COALESCE(search_keywords, '')));
```
### 3. Community Listings
**Purpose**: Community members list items/services they offer
```sql
CREATE TABLE community_listings (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
user_id UUID REFERENCES users(id) ON DELETE CASCADE,
-- Listing Information
title VARCHAR(255) NOT NULL,
description TEXT,
listing_type VARCHAR(50) NOT NULL, -- 'product', 'service', 'tool', 'skill', 'need'
category VARCHAR(100) NOT NULL,
subcategory VARCHAR(100),
-- For Products/Tools
condition VARCHAR(50), -- 'new', 'like_new', 'good', 'fair', 'needs_repair'
price DECIMAL(10,2), -- NULL = free
price_type VARCHAR(50), -- 'free', 'sale', 'rent', 'trade', 'borrow'
-- For Services/Skills
service_type VARCHAR(50), -- 'offering', 'seeking'
rate DECIMAL(10,2),
rate_type VARCHAR(50), -- 'hourly', 'fixed', 'negotiable', 'free'
-- Availability
availability_status VARCHAR(20) DEFAULT 'available',
availability_schedule JSONB,
quantity_available INTEGER, -- For products
-- Location
location POINT,
pickup_available BOOLEAN DEFAULT true,
delivery_available BOOLEAN DEFAULT false,
delivery_radius_km DECIMAL(5,2),
-- Media
images TEXT[],
-- Metadata
tags TEXT[],
search_keywords TEXT,
-- Trust & Verification
user_rating DECIMAL(3,2), -- Average rating from reviews
review_count INTEGER DEFAULT 0,
verified BOOLEAN DEFAULT false, -- Platform verification
-- Status
status VARCHAR(20) DEFAULT 'active', -- 'active', 'reserved', 'completed', 'archived'
-- Timestamps
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
updated_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
expires_at TIMESTAMP WITH TIME ZONE, -- Auto-archive after X days
CONSTRAINT fk_user FOREIGN KEY (user_id) REFERENCES users(id)
);
-- Indexes for community_listings
CREATE INDEX idx_community_listings_user ON community_listings(user_id);
CREATE INDEX idx_community_listings_type ON community_listings(listing_type);
CREATE INDEX idx_community_listings_category ON community_listings(category);
CREATE INDEX idx_community_listings_status ON community_listings(status);
CREATE INDEX idx_community_listings_location ON community_listings USING GIST(location);
CREATE INDEX idx_community_listings_search ON community_listings USING GIN(to_tsvector('russian', title || ' ' || COALESCE(description, '') || ' ' || COALESCE(search_keywords, '')));
```
### 4. Skill Profiles
**Purpose**: Users list skills they can offer
```sql
CREATE TABLE skill_profiles (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
user_id UUID REFERENCES users(id) ON DELETE CASCADE,
-- Skill Information
skill_name VARCHAR(255) NOT NULL,
description TEXT,
category VARCHAR(100) NOT NULL, -- 'technical', 'creative', 'professional', 'manual', 'language', etc.
subcategory VARCHAR(100),
-- Service Details
service_type VARCHAR(50) NOT NULL, -- 'offering', 'seeking', 'both'
experience_years INTEGER,
level VARCHAR(50), -- 'beginner', 'intermediate', 'advanced', 'expert'
-- Pricing
rate DECIMAL(10,2),
rate_type VARCHAR(50), -- 'hourly', 'fixed', 'negotiable', 'free', 'trade'
currency VARCHAR(3) DEFAULT 'EUR',
-- Availability
availability_status VARCHAR(20) DEFAULT 'available',
availability_schedule JSONB,
remote_available BOOLEAN DEFAULT false,
on_site_available BOOLEAN DEFAULT true,
-- Location
service_location POINT,
service_radius_km DECIMAL(5,2),
-- Credentials
certifications TEXT[],
portfolio_urls TEXT[],
education TEXT,
-- Metadata
tags TEXT[],
search_keywords TEXT,
-- Trust
user_rating DECIMAL(3,2),
review_count INTEGER DEFAULT 0,
verified BOOLEAN DEFAULT false,
-- Status
status VARCHAR(20) DEFAULT 'active',
-- Timestamps
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
updated_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
CONSTRAINT fk_user FOREIGN KEY (user_id) REFERENCES users(id)
);
-- Indexes for skill_profiles
CREATE INDEX idx_skill_profiles_user ON skill_profiles(user_id);
CREATE INDEX idx_skill_profiles_category ON skill_profiles(category);
CREATE INDEX idx_skill_profiles_status ON skill_profiles(status);
CREATE INDEX idx_skill_profiles_location ON skill_profiles USING GIST(service_location);
CREATE INDEX idx_skill_profiles_search ON skill_profiles USING GIN(to_tsvector('russian', skill_name || ' ' || COALESCE(description, '') || ' ' || COALESCE(search_keywords, '')));
```
### 5. Discovery Requests
**Purpose**: Users can post what they're looking for
```sql
CREATE TABLE discovery_requests (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
user_id UUID REFERENCES users(id) ON DELETE CASCADE,
-- Request Information
title VARCHAR(255) NOT NULL,
description TEXT,
request_type VARCHAR(50) NOT NULL, -- 'product', 'service', 'skill', 'tool', 'general'
category VARCHAR(100),
-- Requirements
requirements TEXT, -- Specific requirements
budget_min DECIMAL(10,2),
budget_max DECIMAL(10,2),
urgency VARCHAR(50), -- 'low', 'medium', 'high', 'urgent'
-- Location
location POINT, -- Where needed
max_distance_km DECIMAL(5,2),
pickup_preferred BOOLEAN DEFAULT true,
delivery_acceptable BOOLEAN DEFAULT false,
-- Timeline
needed_by TIMESTAMP WITH TIME ZONE,
flexible_timeline BOOLEAN DEFAULT true,
-- Status
status VARCHAR(20) DEFAULT 'open', -- 'open', 'matched', 'fulfilled', 'closed', 'expired'
match_count INTEGER DEFAULT 0, -- Number of matches found
-- Timestamps
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
updated_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
expires_at TIMESTAMP WITH TIME ZONE, -- Auto-close after X days
CONSTRAINT fk_user FOREIGN KEY (user_id) REFERENCES users(id)
);
-- Indexes for discovery_requests
CREATE INDEX idx_discovery_requests_user ON discovery_requests(user_id);
CREATE INDEX idx_discovery_requests_type ON discovery_requests(request_type);
CREATE INDEX idx_discovery_requests_status ON discovery_requests(status);
CREATE INDEX idx_discovery_requests_location ON discovery_requests USING GIST(location);
CREATE INDEX idx_discovery_requests_search ON discovery_requests USING GIN(to_tsvector('russian', title || ' ' || COALESCE(description, '')));
```
### 6. Listing Interactions
**Purpose**: Track views, contacts, favorites, reviews
```sql
CREATE TABLE listing_interactions (
id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
user_id UUID REFERENCES users(id) ON DELETE CASCADE,
-- What was interacted with
listing_type VARCHAR(50) NOT NULL, -- 'product', 'service', 'community', 'skill'
listing_id UUID NOT NULL, -- References the specific listing table
-- Interaction Type
interaction_type VARCHAR(50) NOT NULL, -- 'view', 'contact', 'favorite', 'share', 'report'
-- Contact Details (if interaction_type = 'contact')
contact_method VARCHAR(50), -- 'platform_message', 'phone', 'email', 'visit'
message TEXT, -- Initial message if any
-- Metadata
metadata JSONB, -- Flexible additional data
-- Timestamps
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW(),
CONSTRAINT fk_user FOREIGN KEY (user_id) REFERENCES users(id)
);
-- Indexes
CREATE INDEX idx_listing_interactions_user ON listing_interactions(user_id);
CREATE INDEX idx_listing_interactions_listing ON listing_interactions(listing_type, listing_id);
CREATE INDEX idx_listing_interactions_type ON listing_interactions(interaction_type);
```
---
## API Design
### 1. Universal Search Endpoint
**Endpoint**: `GET /api/v1/discovery/search`
**Purpose**: Single search interface for all product/service discovery
**Query Parameters**:
```typescript
{
q: string; // Search query (natural language)
category?: string; // Filter by category
listing_type?: string; // 'product', 'service', 'community', 'skill', 'all'
location?: { // User location for distance ranking
lat: number;
lng: number;
};
max_distance_km?: number; // Maximum distance (default: 25km)
price_min?: number;
price_max?: number;
availability?: string; // 'available', 'all'
verified_only?: boolean; // Only show verified listings
sort?: string; // 'relevance', 'distance', 'price_low', 'price_high', 'rating'
page?: number;
limit?: number;
}
```
**Response**:
```typescript
{
results: Array<{
id: string;
type: 'product' | 'service' | 'community' | 'skill';
title: string;
description: string;
category: string;
price?: number;
price_type?: string;
location: {
lat: number;
lng: number;
};
distance_km?: number;
organization_id?: string; // If business listing
organization_name?: string;
user_id?: string; // If community listing
user_name?: string;
rating?: number;
review_count?: number;
verified: boolean;
images: string[];
availability_status: string;
match_score: number; // Relevance score
}>;
total: number;
page: number;
limit: number;
facets: {
categories: Array<{name: string, count: number}>;
price_ranges: Array<{min: number, max: number, count: number}>;
distances: Array<{range: string, count: number}>;
};
}
```
### 2. Listing Management Endpoints
#### Create Product Listing (Business)
**POST** `/api/v1/discovery/products`
- Requires: Business authentication
- Body: Product listing data
#### Create Service Listing (Business)
**POST** `/api/v1/discovery/services`
- Requires: Business authentication
- Body: Service listing data
#### Create Community Listing
**POST** `/api/v1/discovery/community`
- Requires: User authentication
- Body: Community listing data
#### Create Skill Profile
**POST** `/api/v1/discovery/skills`
- Requires: User authentication
- Body: Skill profile data
#### Create Discovery Request
**POST** `/api/v1/discovery/requests`
- Requires: User authentication
- Body: Request data
#### Get Listing Details
**GET** `/api/v1/discovery/listings/:type/:id`
- `type`: 'product', 'service', 'community', 'skill'
- Returns: Full listing details
#### Update Listing
**PUT** `/api/v1/discovery/listings/:type/:id`
- Requires: Ownership verification
#### Delete Listing
**DELETE** `/api/v1/discovery/listings/:type/:id`
- Requires: Ownership verification
### 3. User Dashboard Endpoints
#### Get User Listings
**GET** `/api/v1/discovery/my-listings`
- Returns: All listings created by user
#### Get User Requests
**GET** `/api/v1/discovery/my-requests`
- Returns: All discovery requests by user
#### Get Favorites
**GET** `/api/v1/discovery/favorites`
- Returns: User's favorited listings
#### Contact Listing Owner
**POST** `/api/v1/discovery/listings/:type/:id/contact`
- Creates interaction record
- Sends notification to owner
- Returns: Contact information or initiates platform messaging
---
## Search & Matching Algorithm
### Multi-Stage Search Pipeline
```
1. Query Processing
2. Text Search (Full-Text)
3. Category Filtering
4. Location-Based Filtering
5. Availability Check
6. Relevance Scoring
7. Ranking & Sorting
8. Result Formatting
```
### Relevance Scoring Formula
```go
func calculateRelevanceScore(listing Listing, query SearchQuery) float64 {
score := 0.0
// Text Match Score (0-40 points)
textScore := calculateTextMatch(listing, query.Text)
score += textScore * 0.4
// Category Match (0-20 points)
if listing.Category == query.Category {
score += 20.0
} else if listing.Subcategory == query.Category {
score += 15.0
}
// Distance Score (0-20 points)
distanceScore := calculateDistanceScore(listing.Location, query.Location, query.MaxDistance)
score += distanceScore * 0.2
// Trust Score (0-10 points)
trustScore := calculateTrustScore(listing)
score += trustScore * 0.1
// Availability Score (0-10 points)
availabilityScore := calculateAvailabilityScore(listing)
score += availabilityScore * 0.1
return score / 100.0 // Normalize to 0-1
}
func calculateTextMatch(listing Listing, queryText string) float64 {
// Full-text search relevance
// Uses PostgreSQL ts_rank or similar
// Returns 0-100
}
func calculateDistanceScore(listingLocation, queryLocation Point, maxDistance float64) float64 {
distance := calculateHaversineDistance(listingLocation, queryLocation)
if distance > maxDistance {
return 0.0
}
// Closer = higher score
// Linear decay: score = 100 * (1 - distance/maxDistance)
return 100.0 * (1.0 - distance/maxDistance)
}
func calculateTrustScore(listing Listing) float64 {
score := 50.0 // Base score
if listing.Verified {
score += 30.0
}
if listing.Rating > 0 {
score += listing.Rating * 20.0 // Rating is 0-5, so max +100
}
// Business listings get bonus
if listing.OrganizationID != "" {
score += 10.0
}
return min(score, 100.0)
}
func calculateAvailabilityScore(listing Listing) float64 {
if listing.AvailabilityStatus == "available" {
return 100.0
} else if listing.AvailabilityStatus == "limited" {
return 70.0
} else if listing.AvailabilityStatus == "reserved" {
return 30.0
}
return 0.0
}
```
---
## Frontend Components
### 1. Universal Search Bar
**Component**: `DiscoverySearchBar.tsx`
**Features**:
- Natural language input
- Category dropdown
- Location autocomplete
- Quick filters (price, distance, verified)
- Voice input (optional)
**Location**: Top of discovery page, persistent in header
### 2. Search Results Page
**Component**: `DiscoverySearchResults.tsx`
**Layout**:
- Left sidebar: Filters (category, price, distance, availability)
- Main area: Results grid/list
- Map view toggle
- Sort options
**Result Card**:
- Image thumbnail
- Title and description
- Price/rate
- Distance
- Rating (if available)
- Verified badge
- Quick actions (contact, favorite, share)
### 3. Listing Detail Page
**Component**: `ListingDetailPage.tsx`
**Sections**:
- Image gallery
- Title, description, category
- Price/rate details
- Location map
- Availability schedule
- Owner information (business or user)
- Reviews/ratings
- Contact button
- Share button
### 4. Create Listing Forms
**Components**:
- `CreateProductListingForm.tsx` (Business)
- `CreateServiceListingForm.tsx` (Business)
- `CreateCommunityListingForm.tsx` (User)
- `CreateSkillProfileForm.tsx` (User)
- `CreateDiscoveryRequestForm.tsx` (User)
**Features**:
- Step-by-step wizard
- Image upload
- Location picker (map)
- Category selection
- Price/availability inputs
- Preview before submit
### 5. User Dashboard
**Component**: `DiscoveryDashboard.tsx`
**Tabs**:
- My Listings
- My Requests
- Favorites
- Messages/Contacts
- Activity History
### 6. Map View Integration
**Enhancement**: Add discovery layer to existing map
**Features**:
- Toggle layer: "Show Products/Services"
- Clustering for dense areas
- Click marker → Show listing preview
- Filter by category on map
---
## Implementation Phases
### Phase 1: Foundation (Weeks 1-3)
**Backend**:
1. Database migrations for all tables
2. Domain models (Go structs)
3. Repository layer
4. Basic CRUD endpoints
5. Simple search (text + category)
**Frontend**:
1. Search interface
2. Results page
3. Listing detail page
4. Basic create forms
**Goal**: Users can search and view listings
---
### Phase 2: Enhanced Search (Weeks 4-5)
**Backend**:
1. Full-text search implementation
2. Location-based filtering
3. Relevance scoring algorithm
4. Faceted search (filters)
**Frontend**:
1. Advanced filters
2. Map integration
3. Sort options
4. Result pagination
**Goal**: Powerful search with location ranking
---
### Phase 3: User Features (Weeks 6-7)
**Backend**:
1. User authentication integration
2. Listing ownership verification
3. Favorites system
4. Contact/interaction tracking
5. Notification system
**Frontend**:
1. User dashboard
2. Create/edit listings
3. Favorites management
4. Contact forms
5. My listings page
**Goal**: Users can create and manage listings
---
### Phase 4: Trust & Quality (Weeks 8-9)
**Backend**:
1. Rating/review system
2. Verification process
3. Trust scoring
4. Reporting/moderation
**Frontend**:
1. Review interface
2. Verification badges
3. Trust indicators
4. Report functionality
**Goal**: Build trust and quality
---
### Phase 5: Advanced Features (Weeks 10-12)
**Backend**:
1. Availability scheduling
2. Booking system (for services)
3. Matching algorithm (requests ↔ listings)
4. Notification system (alerts for new matches)
5. Analytics
**Frontend**:
1. Availability calendar
2. Booking interface
3. Request matching
4. Notification center
5. Analytics dashboard
**Goal**: Complete discovery platform
---
## Integration with Existing Systems
### 1. Leverage Existing Matching Engine
**Extend** `matching.Service` to handle:
- Product/service matching (not just resource flows)
- Discovery request matching
- Cross-type matching (request ↔ listing)
### 2. Use Existing Map Infrastructure
**Extend** `MapView` component:
- Add discovery layer toggle
- Show product/service markers
- Cluster markers
- Click → show listing details
### 3. Integrate with Organizations
**Link** product/service listings to:
- Existing `organizations` table
- Business profiles
- Organization verification status
### 4. Use Existing Authentication
**Reuse**:
- User authentication system
- Business authentication
- Role-based access control
---
## Success Metrics
### Engagement Metrics
- **Search Queries**: Number of searches per day
- **Listing Views**: Views per listing
- **Contact Rate**: % of views that result in contact
- **Listing Creation**: New listings per week
- **Match Success**: % of requests that find matches
### Quality Metrics
- **Search Relevance**: % of users who find what they need
- **Response Rate**: % of contacts that get responses
- **User Satisfaction**: Average rating of platform
- **Listing Quality**: % of listings with complete information
### Business Metrics
- **Business Participation**: % of businesses with listings
- **Community Participation**: % of users with listings
- **Transaction Volume**: Estimated value of matches
- **Platform Growth**: New users per month
---
## Technical Considerations
### Performance
- **Search Speed**: < 500ms for typical queries
- **Caching**: Cache popular searches
- **Indexing**: Proper database indexes
- **Pagination**: Limit results per page
### Scalability
- **Full-Text Search**: Use PostgreSQL full-text or Elasticsearch
- **Location Queries**: Use PostGIS spatial indexes
- **Image Storage**: Use CDN for images
- **Notifications**: Use message queue for async notifications
### Security
- **Input Validation**: Validate all user inputs
- **SQL Injection**: Use parameterized queries
- **XSS Prevention**: Sanitize user-generated content
- **Rate Limiting**: Prevent abuse
- **Privacy**: Respect user privacy settings
---
## Next Steps
1. **Review & Approve**: Review this concept document
2. **Database Design**: Finalize schema
3. **API Specification**: Detailed API docs
4. **UI/UX Design**: Mockups and wireframes
5. **Technical Spike**: Proof of concept for search
6. **Implementation**: Start Phase 1
---
**Document Version**: 1.0
**Last Updated**: 2025-01-27
**Status**: Concept - Ready for Review