turash/PRODUCT_SERVICE_DISCOVERY_CONCEPT.md

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:

  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

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

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