# 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