28 KiB
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:
- Business Products: Items/services businesses offer
- Business Surplus: Underutilized resources businesses want to share/rent
- Community Listings: Items/services community members offer
- Skills & Services: People offering expertise or services
- 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
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
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
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
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
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
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:
{
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:
{
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
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:
- Database migrations for all tables
- Domain models (Go structs)
- Repository layer
- Basic CRUD endpoints
- Simple search (text + category)
Frontend:
- Search interface
- Results page
- Listing detail page
- Basic create forms
Goal: Users can search and view listings
Phase 2: Enhanced Search (Weeks 4-5)
Backend:
- Full-text search implementation
- Location-based filtering
- Relevance scoring algorithm
- Faceted search (filters)
Frontend:
- Advanced filters
- Map integration
- Sort options
- Result pagination
Goal: Powerful search with location ranking
Phase 3: User Features (Weeks 6-7)
Backend:
- User authentication integration
- Listing ownership verification
- Favorites system
- Contact/interaction tracking
- Notification system
Frontend:
- User dashboard
- Create/edit listings
- Favorites management
- Contact forms
- My listings page
Goal: Users can create and manage listings
Phase 4: Trust & Quality (Weeks 8-9)
Backend:
- Rating/review system
- Verification process
- Trust scoring
- Reporting/moderation
Frontend:
- Review interface
- Verification badges
- Trust indicators
- Report functionality
Goal: Build trust and quality
Phase 5: Advanced Features (Weeks 10-12)
Backend:
- Availability scheduling
- Booking system (for services)
- Matching algorithm (requests ↔ listings)
- Notification system (alerts for new matches)
- Analytics
Frontend:
- Availability calendar
- Booking interface
- Request matching
- Notification center
- 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
organizationstable - 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
- Review & Approve: Review this concept document
- Database Design: Finalize schema
- API Specification: Detailed API docs
- UI/UX Design: Mockups and wireframes
- Technical Spike: Proof of concept for search
- Implementation: Start Phase 1
Document Version: 1.0 Last Updated: 2025-01-27 Status: Concept - Ready for Review