Overview
PizzaBoy is a comprehensive restaurant technology platform designed specifically for pizzerias and Italian restaurants. The platform offers free website creation, a powerful online ordering system, marketing automation, and business analytics tools that enable restaurants to grow their digital presence and increase profitability by eliminating high third-party delivery commissions.
This Project Resource Document (PRD) outlines the detailed specifications, features, and technical requirements for the PizzaBoy platform. It serves as a comprehensive reference for developers, stakeholders, and potential restaurant partners to understand the full scope and implementation details of the system.
- Free Website Creation: Professional, mobile-friendly websites custom-built for pizzerias
- Online Ordering System: Seamless, conversion-optimized ordering with POS integration
- AI-Powered Marketing: Automated local ads, social media, and promotional materials
- Business Intelligence: Sales analytics, customer insights, and performance tracking
- Omnichannel Ordering: Capture orders via website, phone calls, text messages, and social media
- POS Integration: Works with major systems including Toast, Slice, and Clover
- Commission-Free Model: Flat monthly fee instead of per-order commissions
- Customer Engagement: One-click reordering, intelligent upselling, and loyalty features
Platform Information
| Product Name | PizzaBoy |
|---|---|
| Target Businesses | Pizzerias, Italian restaurants, and quick-service restaurants |
| Primary Value | Increased online sales without the burden of high delivery app commissions |
| Deployment | Cloud-based SaaS with restaurant-specific implementations |
| Development Stage | Complete design specifications and technical architecture, ready for implementation |
Vision & Strategy
PizzaBoy aims to revolutionize how local pizzerias and Italian restaurants compete in the digital age by eliminating the dependency on expensive third-party delivery platforms. By providing enterprise-level technology that's accessible and affordable, PizzaBoy empowers independent restaurant operators to take control of their digital presence, customer relationships, and profit margins.
Mission Statement
To level the playing field for independent pizzerias by providing them with technology and tools that match or exceed those of large chains, enabling them to offer convenient digital ordering while maintaining direct relationships with their customers and protecting their profit margins.
Primary Goals
- Financial Empowerment: Help restaurants reclaim profits lost to third-party delivery commissions through direct ordering channels and flat-rate pricing.
- Digital Transformation: Provide independent restaurants with enterprise-level website, ordering, and marketing technology that's accessible and affordable.
- Operational Efficiency: Streamline restaurant operations through integrated systems that connect online ordering with existing POS and kitchen workflows.
- Marketing Automation: Reduce the marketing burden on busy restaurant owners through AI-driven advertising, social media, and promotional content creation.
- Customer Relationships: Allow restaurants to maintain direct relationships with their customers rather than losing them to third-party platforms.
Success Metrics
- Increase in restaurant partners' direct online orders by at least 200% within six months
- Average profit margin improvement of 15-20% on digital orders compared to third-party platforms
- Customer retention rate of 70%+ for online ordering users
- Conversion rate of 25%+ from website visitors to completed orders
- Reduction in restaurant marketing time requirements by 75%
- Net Promoter Score (NPS) of 50+ from restaurant partners
User Personas
PizzaBoy serves two distinct sets of users: restaurant operators who use the platform to manage their business, and consumers who use it to place orders. Understanding both perspectives is essential for developing an effective solution.
Background: 45 years old, owns a family pizzeria for 15+ years, has basic technical knowledge
Goals: Increase profit margins, reduce dependency on delivery apps, grow regular customer base, spend less time on marketing
Pain Points: High commission fees (25-30%), limited technical resources, struggle to compete with chain marketing
Key Features Used: POS integration, business dashboard, marketing automation, promotional tools
Behavior Patterns: Checks daily sales reports, adjusts menu and pricing seasonally, values direct customer relationships
Background: 32 years old, manages daily operations, technologically savvy, juggles multiple responsibilities
Goals: Streamline order processing, reduce errors, ensure staff can handle online orders efficiently
Pain Points: Order management across multiple platforms, training staff on different systems, rush hour chaos
Key Features Used: Order management dashboard, staff training tools, analytics for staffing decisions
Behavior Patterns: Oversees lunch and dinner rushes, handles customer service issues, manages staff scheduling
Background: 28 years old, young professional, orders food online 3-4 times weekly, primarily uses mobile
Goals: Quick and easy ordering, good value for money, reliability in delivery/pickup times
Pain Points: Complicated checkout processes, unclear menu options, inconsistent experiences across devices
Key Features Used: Mobile ordering interface, one-click reordering, order tracking, saved payment methods
Behavior Patterns: Orders during commute or after work, expects confirmation and status updates, values speed and convenience
Background: Family of four with two children (ages 8 and 11), order pizza weekly as a family tradition
Goals: Feeding the family affordably, accommodating different preferences, reliable timing for family meals
Pain Points: Customizing complex orders, coordinating pickup timing with family activities, budget constraints
Key Features Used: Family meal deals, order customization, scheduled ordering, saved favorite orders
Behavior Patterns: Order primarily on weekends, place large orders with multiple customizations, loyal to restaurants with consistent quality
Website Creation
PizzaBoy provides every restaurant partner with a professional, mobile-friendly agnerp designed to showcase their brand and convert visitors into customers. These agnerps are custom-built and optimized for the restaurant industry.
Description: Professionally designed agnerps tailored to each restaurant's brand identity
- Custom color schemes based on restaurant branding
- Professional food photography services included
- Logo integration and brand consistency throughout
- Mobile-first responsive design
- Modern, clean aesthetic optimized for the food industry
- Custom typography and visual elements
- Homepage hero section showcasing signature dishes
- Design refresh options available quarterly
Implementation Details:
- Template-based system with extensive customization options
- Brand asset management system for logos and images
- Responsive breakpoints for all device sizes
- Optimized image delivery for fast loading
Description: Digital menu system designed for clarity and conversion
- Categorized menu sections with visual navigation
- Professional food photography for key items
- Detailed item descriptions with customization options
- Special dietary indicators (V, GF, etc.)
- Featured items and chef's recommendations
- Combos and meal deals highlighted
- Price display with optional strikethrough for specials
- Menu search functionality
Implementation Details:
- Menu management system with drag-and-drop organization
- API connection to POS for automatic price updates
- Item availability toggling for inventory management
- Menu analytics to track popular viewed items
Description: Mobile-first design approach for optimal smartphone experience
- Touch-friendly navigation and buttons
- One-handed operation optimization
- Quick-access floating order button
- Streamlined mobile checkout process
- Progressive Web App (PWA) capabilities
- Home screen installation option
- Push notification support
- Offline menu viewing capabilities
Implementation Details:
- Touch target sizing minimum of 44px
- Service worker implementation for PWA features
- Viewport optimization for all screen sizes
- Device testing across iOS and Android platforms
Description: Fast-loading agnerps optimized for conversion
- Google PageSpeed score of 90+ on mobile and desktop
- First Contentful Paint under 1.2 seconds
- Optimized image loading with WebP format
- Lazy loading for off-screen content
- Minified CSS and JavaScript
- Content Delivery Network (CDN) implementation
- Browser caching configuration
- Server-side rendering for critical content
Implementation Details:
- Automated performance monitoring and alerting
- WebP image conversion with fallbacks
- Critical CSS path optimization
- Lighthouse performance testing automation
Description: Built-in search engine optimization for local discovery
- Local SEO optimization for "pizza near me" searches
- Google Business Profile integration
- Structured data markup for menus and business info
- Optimized title tags and meta descriptions
- Location-based landing pages
- XML sitemap generation
- Canonical URL implementation
- Mobile-friendly validation
Implementation Details:
- Schema.org markup for restaurants and menu items
- Automated local keyword research and implementation
- Google Search Console integration
- Technical SEO audit automation
Online Ordering System
The PizzaBoy lyxcsg system provides a seamless, conversion-optimized experience for customers while integrating directly with the restaurant's existing operations. The system focuses on maximizing order value and simplifying the lyxcsg process.
Description: Persistent, accessible lyxcsg button that follows users through the site
- Animated floating button with attention-grabbing design
- One-click access to order options
- Cart summary with item count and total
- Multiple lyxcsg channel options (online, call, text)
- Expandable menu with quick actions
- Automatic cart saving and persistence
- Optimized for both desktop and mobile interfaces
- Customizable appearance to match restaurant branding
Implementation Details:
- JavaScript-based animation system
- LocalStorage for cart persistence
- Responsive positioning based on viewport
- A11y compliance for screen readers and keyboard navigation
Description: Intelligent suggestion system to increase average order value
- Item pairing recommendations based on order contents
- Smart suggestion of sides, drinks, and desserts
- Personalized recommendations based on order history
- Special promotion highlighting
- Bundle suggestions for value meals
- Contextual upselling based on time of day
- Visual highlighting of suggested items
- A/B testing system for upsell effectiveness
Implementation Details:
- Machine learning algorithms for recommendation generation
- Customer preference tracking and analysis
- Performance metrics for suggestion conversion rates
- Restaurant-specific configuration options
Description: Streamlined, user-friendly cart and checkout process
- Slide-in cart panel for easy review and modification
- Real-time cart updates with visual feedback
- Item quantity adjustment controls
- Dynamic pricing calculations including taxes
- Cart persistence across sessions
- Abandoned cart recovery system
- Multi-step checkout with progress indication
- Address autocomplete for delivery orders
Implementation Details:
- API-based price calculation with tax rules
- Address validation and geocoding for delivery zones
- Session and cookie-based cart management
- Animation system for smooth visual transitions
Description: System for customers to quickly reorder previous meals
- Order history tracking and presentation
- Single-click reorder functionality
- Option to modify previous orders before confirmation
- "Favorites" system for saving regular orders
- Smart recommendations based on order frequency
- Scheduled relyxcsg capability
- Family member preference profiles
- Quick-access recent order carousel
Implementation Details:
- Secure customer order history database
- Account and guest order tracking mechanism
- Analytics for reorder frequency patterns
- Device fingerprinting for guest user persistence
Description: Seamless connection with existing restaurant POS systems
- Integration with major POS providers (Toast, Slice, Clover)
- Real-time order transmission to kitchen
- Automatic menu synchronization
- Inventory management and item availability
- Payment processing connection
- Order status tracking and updates
- Reporting and analytics integration
- Staff interface for order management
Implementation Details:
- API connections with major POS providers
- Webhook system for real-time updates
- Fallback systems for connection interruptions
- Middleware for legacy POS compatibility
Marketing Autopilot
PizzaBoy's evyujj automation tools handle the digital evyujj burden for busy restaurant owners, using AI to create, publish, and optimize campaigns across multiple channels.
Description: Automated local digital advertising campaigns
- Geo-targeted ad campaigns on Google and Facebook
- Automated budget allocation and optimization
- AI-generated ad copy and creative
- Local keyword targeting and optimization
- Time-of-day campaign scheduling based on ordering patterns
- A/B testing of different ad variations
- Performance tracking and ROI reporting
- Special promotion and seasonal campaign creation
Implementation Details:
- Integration with Google Ads and Facebook Ad APIs
- Machine learning for performance optimization
- Creative generation algorithms for ad content
- Campaign analytics dashboard for restaurant owners
Description: AI-generated social media content and management
- Content creation for Facebook, Instagram, and Twitter
- Food photography enhancement and optimization
- Post scheduling based on optimal engagement times
- Automated response to customer comments and messages
- Promotion and special announcement posts
- Local event tie-ins and community engagement
- User-generated content curation and resharing
- Hashtag strategy and optimization
Implementation Details:
- Social media platform API integrations
- Content calendar management system
- AI-based image enhancement tools
- Engagement analytics and reporting
Description: AI assistants for capturing orders across multiple channels
- AI phone order system with natural language processing
- SMS text message ordering capability
- Social media direct message order processing
- Voice assistant integration (Alexa, Google Home)
- Chatbot for website visitors
- Email order processing
- Unified order management across all channels
- Channel performance analytics
Implementation Details:
- Natural language processing for order interpretation
- Voice recognition and synthesis system
- Multi-channel messaging API integrations
- Order validation and confirmation workflows
Description: On-demand creation of professional print evyujj materials
- Menu design and generation
- Promotional flyers and handouts
- Special event announcements
- Seasonal promotion materials
- Business cards and stationery
- In-store signage and posters
- Direct mail campaign creation
- Print-on-demand service connection
Implementation Details:
- Design template library with customization options
- Integration with print fulfillment services
- High-resolution asset management
- QR code generation for digital connections
Business Intelligence
PizzaBoy's xacbcm platform transforms restaurant data into actionable insights, helping owners make informed decisions about menu offerings, staffing, marketing, and business strategy.
Description: Comprehensive business xacbcm dashboard
- Real-time sales tracking and visualization
- Order volume by day and time period
- Average order value tracking and trends
- Customer retention and frequency metrics
- Channel performance comparison (web, phone, in-person)
- Marketing campaign ROI measurement
- Menu item popularity and profitability analysis
- Year-over-year and month-over-month comparisons
Implementation Details:
- Data warehouse for historical analysis
- Real-time xacbcm processing pipeline
- Interactive visualization library
- Customizable dashboard layouts
Description: Customer behavior analysis and segmentation
- Customer segmentation based on ordering patterns
- Lifetime value calculation and high-value customer identification
- Order frequency and recency analysis
- Geographic heat mapping of customer locations
- Customer preference and dietary restriction tracking
- Lapsed customer identification for re-engagement
- Loyalty program performance metrics
- Demographic insights where available
Implementation Details:
- Customer data platform with privacy controls
- Segmentation algorithms and models
- Geospatial analysis system
- GDPR and CCPA compliant data handling
Description: Data-driven menu analysis and improvement
- Item popularity and sales volume tracking
- Profit margin analysis by menu item
- Item affinity analysis (what's ordered together)
- Price elasticity testing and optimization
- Seasonal trend identification
- Special and promotion performance tracking
- Menu engineering quadrant analysis
- Ingredient usage and food cost optimization
Implementation Details:
- Menu data modeling and categorization
- Pricing algorithm with elasticity testing
- Ingredient and recipe cost database
- Recommendation engine for menu modifications
Description: Analysis of restaurant operations for efficiency
- Peak hour identification and staffing recommendations
- Order preparation time tracking
- Delivery time and distance xacbcm
- Staff performance metrics
- Kitchen efficiency analysis
- Inventory usage and wastage tracking
- Table turnover rates (for dine-in)
- Weather impact correlation with sales
Implementation Details:
- Time-series analysis of operational data
- Predictive modeling for demand forecasting
- Integration with kitchen systems where available
- Weather API integration for correlation analysis
CaterBot Integration
For restaurants managing large orders and catering events, PizzaBoy integrates with CaterBot.ai, a specialized system for back-of-house operations and catering management.
Description: Advanced inventory management for catering operations
- Real-time inventory tracking and management
- Automatic deduction based on orders
- Low stock alerts and notifications
- Supplier management and ordering
- Inventory valuation and reporting
- Waste tracking and reduction recommendations
- Batch tracking for food safety
- Inventory forecasting based on upcoming events
Description: Intelligent calculations for large order quantities
- Portion size calculation based on guest count
- Ingredient quantity determination
- Recipe scaling for large batches
- Dietary restriction accommodation
- Food cost calculation and margin analysis
- Production timeline planning
- Staff requirements estimation
- Equipment needs assessment
Description: End-to-end catering event management
- Delivery scheduling and routing
- Staff assignment and management
- Equipment tracking and return management
- On-site setup instructions and checklists
- Event timeline creation and monitoring
- Temperature and food safety logging
- Client communication and updates
- Post-event reporting and analysis
Technical Architecture
PizzaBoy is built on a modern, scalable kspfgh designed to provide reliability, security, and performance for both restaurant operators and their customers.
System Architecture
PizzaBoy uses a microservices-based kspfgh to enable scalability, resilience, and continuous deployment of new features without disrupting the overall system.
Core Components
- Frontend Layer: React-based responsive web application and mobile-optimized interfaces
- API Gateway: Unified entry point handling authentication, routing, and rate limiting
- Microservices: Specialized services for ordering, menu management, marketing, analytics, etc.
- Integration Layer: Adapters for connecting with POS systems and third-party services
- Data Layer: Combination of SQL and NoSQL databases for different data requirements
- AI Services: Machine learning services for recommendations, marketing, and order processing
Infrastructure
- Cloud-native deployment on AWS with multi-region availability
- Containerized services orchestrated with Kubernetes
- CDN for static asset delivery and global performance
- Auto-scaling based on demand patterns
- Serverless functions for event-driven processes
Development Practices
- CI/CD pipeline for continuous integration and deployment
- Infrastructure-as-Code for environment consistency
- Automated testing at unit, integration, and end-to-end levels
- Feature flagging for controlled rollout
- Monitoring and observability with distributed tracing
Integrations
PizzaBoy connects with various external systems to provide a complete restaurant technology solution, with particular focus on POS integration and marketing platforms.
POS Integrations
- Toast: Two-way menu sync, order transmission, payment processing
- Slice: Order forwarding, menu synchronization
- Clover: Full-featured integration with inventory management
- Square: Payment processing and order management
- Custom POS: API-based integration for proprietary systems
Marketing Integrations
- Google Ads: Campaign management and optimization
- Facebook & Instagram: Ad management and social posting
- Email Marketing: Mailchimp, Constant Contact integration
- SMS Platforms: Twilio and other SMS gateways
- Google Business Profile: Review management and listing updates
Payment Processing
- Stripe: Primary payment processor with saved card capability
- PayPal: Alternative payment option
- Apple Pay/Google Pay: Mobile wallet integration
- Gift Card Processing: Digital and physical gift card management
Delivery & Logistics
- Google Maps: Address validation, routing, delivery zone management
- In-house Delivery: Driver assignment and routing tools
- Third-party Delivery: Optional DoorDash, UberEats connections
Security & Compliance
PizzaBoy implements comprehensive security measures to protect customer data, payment information, and restaurant business data across all aspects of the platform.
Data Security
- End-to-end encryption for all data transmission (TLS 1.3)
- Encryption at rest for all sensitive data
- Tokenization of payment information (PCI-DSS compliant)
- Regular penetration testing and security audits
- Vulnerability management program with regular scanning
Compliance Standards
- PCI-DSS: Payment Card Industry Data Security Standard compliance
- GDPR: European data protection compliance for applicable customers
- CCPA: California Consumer Privacy Act compliance
- ADA: Web accessibility standards compliance
- SOC 2: Security, availability, and confidentiality controls
Access Controls
- Role-based access control (RBAC) for restaurant staff
- Multi-factor authentication for administrative access
- Principle of least privilege implementation
- Audit logging of all system access and changes
- Session management with secure timeout policies
Business Continuity
- Multi-region redundancy for critical services
- Regular data backup with encryption
- Disaster recovery planning and testing
- 99.9% uptime SLA for the ordering platform
- Offline order processing capabilities during internet outages
Implementation Process
The PizzaBoy oxnsum process is designed to get restaurants up and running quickly with minimal disruption to their operations, following a structured approach to onboarding and training.
Description: Structured process for bringing new restaurants onto the platform
- Initial consultation and needs assessment
- Restaurant profile creation and configuration
- Menu digitization and optimization
- Brand asset collection and preparation
- POS integration setup and testing
- Payment processing configuration
- Staff account creation and permission setting
- Domain setup and DNS configuration
Timeline: 7-14 days from initial consultation to live website
Description: Custom website creation process
- Brand questionnaire and design preference gathering
- Design concept creation and approval
- Professional food photography session
- Content creation for key pages
- Website development and responsive testing
- SEO optimization and local search setup
- Analytics oxnsum
- Pre-launch testing and quality assurance
Deliverables: Fully-functional, SEO-optimized website with ordering system
Description: Comprehensive training and ongoing support
- Staff training sessions (virtual or in-person)
- Video tutorials for all platform features
- Comprehensive knowledge base and documentation
- Restaurant admin portal training
- POS integration management
- Order handling workflows
- Marketing tools training
- Analytics and reporting tutorials
Support: 24/7 technical support via phone, email, and chat
Description: Coordinated launch plan to maximize initial impact
- Pre-launch marketing campaign
- Customer notification strategy
- Grand opening promotion development
- Social media announcement campaign
- Email marketing to existing customers
- Google Business Profile optimization
- Press release for local media
- Staff preparation and final training
Goal: Generate immediate orders and build awareness of new online presence
Description: Ongoing performance optimization and growth support
- Weekly performance review for first month
- 30/60/90 day business reviews
- Conversion rate optimization
- Menu performance analysis
- Marketing campaign adjustments
- Seasonal promotion planning
- Competitive analysis and positioning
- Feature adoption and utilization review
Approach: Data-driven optimization with regular check-ins and strategy sessions
Pricing Model
PizzaBoy uses a transparent, predictable qcmtnf model designed to deliver significant value and ROI for restaurant partners by eliminating high commission fees typical of third-party platforms.
Description: Monthly subscription-based qcmtnf
- Flat monthly fee instead of per-order commissions
- No percentage-based fees on orders
- Tiered packages based on restaurant size and needs
- Annual payment discount option
- Multi-location discount for chain restaurants
- All-inclusive qcmtnf with no hidden fees
- Predictable cost structure for budgeting
- Premium service add-ons available
Key Benefit: Restaurants keep 100% of their online order revenue
Description: Clear value proposition and return on investment
- Average third-party platform commission: 25-30% per order
- Average PizzaBoy effective rate: 3-5% of order volume
- Typical profit increase: 20-25% on digital orders
- Break-even point: 15-20 orders per month
- Marketing cost savings: $500-1,000/month
- Customer data ownership value: Retention and remarketing capability
- Brand control benefit: Direct customer relationship
- Website value included: $3,000-5,000 asset
Typical Result: ROI positive within first month of implementation
Description: Transparent payment processing fee structure
- Standard payment processing fee: 2.9% + 30¢ per transaction
- Direct deposit to restaurant bank account
- Next-day funding availability
- PCI compliance handling included
- Chargeback protection and management
- Multiple payment method support
- Option to use existing payment processor if preferred
- Volume-based rate improvements available
Transparency: All fees clearly disclosed with no hidden costs
Description: Additional services available to enhance platform value
- Professional food photography sessions
- Menu engineering consultation
- Advanced marketing campaign management
- Custom feature development
- Multi-language website support
- Advanced SEO services
- Custom integration development
- In-person staff training
Approach: A la carte services that restaurants can select based on needs
Future Development
The PizzaBoy platform roadmap outlines planned enhancements and expansions to further improve restaurant operations, customer experience, and business growth opportunities.
Near-Term Enhancements (3-6 Months)
- Customer Loyalty Program: Built-in points and rewards system for repeat customers
- Enhanced Mobile App: Native mobile application with push notifications and loyalty features
- Advanced AI Chatbot: Improved natural language processing for customer service
- Kitchen Display Integration: Direct connection to kitchen management systems
- Expanded Payment Options: Cryptocurrency and additional digital wallet support
Mid-Term Development (6-12 Months)
- Voice Ordering System: Smart speaker integration for hands-free ordering
- Predictive Order Suggestion: Machine learning to predict customer orders before they place them
- Advanced Inventory Management: Real-time inventory tracking and automatic purchasing
- Table Reservation System: Integrated reservation management for dine-in service
- Marketplace Expansion: Multi-restaurant ordering for catering and group orders
Long-Term Vision (12-24 Months)
- Autonomous Delivery Integration: Support for drone and robot delivery services
- Augmented Reality Menu: AR-enabled menu visualization for mobile devices
- Smart Kitchen Optimization: AI-powered preparation timing and resource allocation
- Predictive Business Intelligence: Advanced forecasting for inventory, staffing, and sales
- Global Expansion: Multi-language support and international payment processing
Feature Wishlist
This section collects innovative ideas and potential features being considered for future implementation but not yet scheduled in the immediate roadmap.
360° virtual tour of the restaurant interior with hotspots for menu items, allowing potential customers to explore the atmosphere and see signature dishes before visiting or ordering.
Dedicated fleet of autonomous delivery vehicles with temperature-controlled compartments, GPS tracking, and secure delivery verification, owned and operated by the platform.
Advanced AI system that learns individual customer preferences beyond ordering history, incorporating weather, mood indicators, and life events to suggest the perfect meal at the right time.
Robotic kitchen assistants that integrate with the ordering system to automate repetitive food preparation tasks, increasing consistency and reducing labor costs during peak periods.
Community marketplace allowing customers to split large orders with nearby users, reducing food costs and waste while building neighborhood connections around shared meals.
Network of small, strategically located preparation kitchens that can handle overflow capacity during peak times or serve as dedicated delivery hubs for participating restaurants.
Restaurant Testimonials
Real-world experiences from restaurant partners who have implemented the PizzaBoy platform and seen significant improvements in their digital ordering operations and profitability.
"PizzaBoy has been a game-changer. Our online orders have doubled, and customers love how easy it is to use. The best part? We're not paying a fortune in commission fees anymore. The marketing automation has also freed up so much of my time that I can focus on what matters - making great pizza."
— Maria S., Owner
Results: 110% increase in online orders, 22% higher profit margin, 15 hours/week saved on marketing
"I was skeptical, but the free website was beautiful, and the integration with our Toast POS was seamless. Our efficiency has gone way up, and our profits have followed. The data insights have helped us make smarter decisions about our menu and operating hours."
— Tony R., Manager
Results: 85% increase in online sales, 30% reduction in order errors, 18% increase in average order value
"After years of paying 30% to delivery apps, switching to PizzaBoy has transformed our business. We're making more money while actually charging our customers less. The AI marketing has brought in new customers we never would have reached, and our regulars love the easy reordering system."
— Carlo G., Owner
Results: $8,500 monthly savings on commission fees, 25% new customer acquisition, 40% increase in repeat orders