Capability 01
Point of sale and ordering
Tableside ordering, bar and restaurant terminals, configurable menus, promotions, payments, and controlled manager actions.
Software Platform Case Study
An offline-first restaurant operating system combining point of sale, kitchen and table workflows, real-time operational control, fiscal compliance, and practical AI automation.
Sector
Restaurant operations software
Location
Spain and international markets
Project Overview
TableCore is a full operational product, not a restaurant website. It coordinates ordering, tables, kitchen work, staff, inventory, reporting, compliance, bookings, digital menus, and AI-assisted customer acquisition across multiple devices.
A grounded view of the business context behind the project without inventing vanity metrics.
Why this matters
These case studies are intentionally commercial rather than theatrical. The point is to show how clearer digital structure can improve trust, handling, and market position.
High-volume venues cannot allow a poor internet connection to stop ordering, kitchen communication, or payment workflows
Restaurant teams need one operational view across tables, orders, staff, stock, reporting, and customer-facing channels
The product had to work across phones, tablets, computers, kitchen displays, and front-of-house terminals without expensive proprietary hardware
AI features needed to perform useful work inside the product, including booking optimisation and automated social content
Spanish fiscal requirements introduced immutable transaction, QR, signing, and submission workflows that had to be built into the operating model
The practical system, content, and structure decisions that shaped the project.
The platform is designed to keep core venue workflows available when connectivity is weak or unavailable, with peer-to-peer and later network synchronisation across devices.
Ordering, floor plans, kitchen displays, approvals, staff time, promotions, digital menus, and management reporting form one connected operating environment.
AI supports front-of-house table optimisation, WhatsApp booking automation, and social media preparation rather than existing as a decorative chatbot.
Inventory usage, audit history, profitability reporting, manager approvals, VeriFactu, TicketBAI, signed records, and government submission requirements are handled as product responsibilities.
The experience is designed for the pace and constraints of hospitality across mobile terminals, fixed workstations, bar screens, kitchen screens, and manager interfaces.
Audience and objectives
Independent restaurants, bars, hospitality groups, and high-volume venues that need dependable operations without being locked into expensive proprietary point-of-sale hardware.
Keep critical restaurant workflows usable during internet disruption
Unify front of house, kitchen, staff, stock, bookings, reporting, and compliance
Make the platform deployable across common devices and operating systems
Use AI to reduce repetitive marketing and booking administration
Create a scalable software product with clear subscription positioning
Strategy and implementation
The decisions below connect the commercial objective to the structure, content, and user journey of the finished project.
Offline-first behaviour and synchronisation were treated as core architecture because a restaurant cannot pause service while waiting for a remote server.
Customer-facing menus and bookings connect with live operational areas instead of becoming separate websites that staff must reconcile manually.
AI was placed in workflows where it could make decisions or prepare work: matching booking requirements, checking availability, selecting media, and drafting scheduled content.
Fiscal records, approvals, audit trails, invoice integrity, and regulatory submission form part of the platform model rather than an after-launch add-on.
Functional scope
Capability 01
Tableside ordering, bar and restaurant terminals, configurable menus, promotions, payments, and controlled manager actions.
Capability 02
Kitchen display workflows, table planning, bookings, walk-ins, live status, and device-to-device operational updates.
Capability 03
WhatsApp reservation handling, intelligent seating assistance, content preparation, and scheduled social publishing.
Capability 04
Ingredient-level inventory, variance signals, staff time, labour ratios, sales analysis, and operational dashboards.
Capability 05
QR menus, digital menu boards, loyalty, gift cards, and direct connections to booking platforms.
Capability 06
Immutable transaction history, cryptographic records, fiscal QR codes, VeriFactu and TicketBAI-oriented workflows.
Search foundations
Search visibility starts with useful page architecture, clear subject coverage, and language that matches how real customers research the service.
The content establishes TableCore as a restaurant operating system rather than narrowing it to a simple POS or digital menu.
Focused language covers offline restaurant systems, kitchen displays, table management, compliance, AI bookings, and hospitality operations.
Software application schema, structured FAQs, detailed product language, and platform-specific pages support clearer search interpretation.
Pricing, use cases, operational problems, and implementation reassurance support visitors comparing serious restaurant platforms.
Project FAQ
Yes. It is an operational software platform covering point of sale, ordering, kitchens, tables, staff, inventory, reporting, customer experiences, AI workflows, and fiscal compliance.
Orders and service cannot stop because a venue temporarily loses internet access. Offline-first architecture keeps critical work available and synchronises it safely when connections return.
AI is integrated into specific operational and growth workflows, including booking assistance, table optimisation, WhatsApp interactions, and automated social content preparation.
These notes are intentionally grounded. The point is to show the commercial and operational value of the work clearly, not dress it up with invented numbers.
TableCore demonstrates product architecture, real-time operational thinking, offline resilience, multi-device UX, AI integration, and regulatory engineering in one platform.
The work shows how CostaWeb can take responsibility for an operational product rather than only its public marketing surface.
Its complexity makes it a direct proof point for custom software, SaaS, workflow automation, and AI-enabled platform development.
If the business needs a stronger website, an internal system, or a more structured digital setup, the next step is to scope it properly.