BookTBL for Booking Tables

Developed an AI powered restaurant management ecosystem that helps restaurants manage digital menus, reservations, ordering, customer engagement, and business operations from a single platform.
BookTbl.Com Project
Sri Lanka

Work Types

Main Ecosystem

Service Areas

AI Automation, Application Development, CRM / Systems, Marketplace Development

Project Status

In Progress

Project Year

2026

The Story Behind the Project

  • Business Problem
Restaurants often rely on disconnected systems for reservations, menus, ordering, customer communication, and daily operations. This creates operational delays, inconsistent customer experiences, higher staff workload, limited business insights, and difficulty scaling across multiple branches. Many small and medium restaurants also struggle with the high cost of enterprise restaurant software.
  • Pearstec Role
Pearstec led the complete strategy, business model design, product architecture, user experience, branding, AI integration planning, web platform development, cloud deployment, marketing strategy, SEO planning, and ecosystem commercialization. The platform was designed as a scalable SaaS solution that serves independent restaurants, cafés, hotels, and multi-branch restaurant groups.
  • What We Built
  • AI powered restaurant management ecosystem.
  • Digital QR code menu system.
  • Restaurant website integration.
  • Online food ordering platform.
  • Table reservation management.
  • Customer profile and loyalty management.
  • Order management dashboard.
  • Kitchen workflow management.
  • Multi branch restaurant support.
  • Restaurant analytics dashboard.
  • Mobile responsive management portal.
  • Cloud based SaaS infrastructure.
  • AI assisted restaurant management capabilities.
  • Subscription and onboarding system.
  • Marketing ready landing pages and brand assets.
  • Strategy Delivered

The platform was designed as a complete restaurant ecosystem instead of a standalone booking application. The strategy focused on reducing operational complexity while increasing customer convenience and recurring revenue for restaurant owners.

The business model was structured as a SaaS platform with scalable subscription plans, AI powered operational tools, digital ordering, customer engagement features, and continuous product expansion. SEO, content marketing, onboarding automation, and ecosystem partnerships were planned to support international growth.

  • Technology Used
Google AI Studio, Gemini AI, Firebase, Firebase Authentication, Cloud Firestore, Firebase Hosting, Google Cloud Platform (GCP), Cloud Run, Vertex AI, JavaScript, TypeScript, React, Next.js, Tailwind CSS, REST APIs, GitHub, Stripe Payment Integration, Cloudflare, Progressive Web Application (PWA), QR Code Technology.
  • Growth Work Done
Business model development, ecosystem planning, SaaS pricing strategy, AI feature roadmap, SEO architecture, landing page optimization, technical SEO, cloud deployment, conversion optimization, content strategy, brand positioning, user journey optimization, and digital marketing preparation.
  • Business Outcome

BookTBL is progressing toward becoming a complete restaurant operating ecosystem rather than a reservation tool. The platform establishes the foundation for recurring SaaS revenue while helping restaurants modernize operations, improve customer satisfaction, reduce manual work, and increase operational visibility. The architecture supports future AI automation, additional integrations, and international expansion.

  • Key Results 1
Complete AI powered restaurant ecosystem designed and deployed.
  • Key Results 2
Cloud based SaaS architecture built for scalable multi restaurant operations.
  • Key Results 3
Foundation established for subscription revenue and international expansion.
  • Client Review
BookTBL is a Pearstec ecosystem currently under development. Client testimonial will be published after commercial launch.
  • Award / Recognition
Currently under active development with commercial launch in progress.

Visual Showcase

  • Technology Used
Google AI Studio, Gemini AI, Firebase, Firebase Authentication, Cloud Firestore, Firebase Hosting, Google Cloud Platform (GCP), Cloud Run, Vertex AI, JavaScript, TypeScript, React, Next.js, Tailwind CSS, REST APIs, GitHub, Stripe Payment Integration, Cloudflare, Progressive Web Application (PWA), QR Code Technology.