TableFlow - 2026 Pricing, Features, Reviews & Alternatives

TableFlow is a comprehensive reservation and sales management system designed for the hospitality sector. It consolidates booking management, group sales processes, marketing automation, and guest relationship tools into a single platform without commission fees per cover. The system accommodates establishments with a range of seating capacities while maintaining consistent functionality across different operational scales.

The reservation module features a visual agenda with configurable zones and table layouts, automated booking confirmations and reminders, guest profiles capturing preferences and dietary restrictions, and deposit requirements to mitigate no shows. Group sales management utilises a pipeline view that tracks various event lead types and supports bookings for multiple activities such as weddings and corporate functions. An AI assisted quote generator assembles proposals with tiered package options, integrates digital signature capture with audit trail documentation, and connects to payment processing for deposit collection and scheduled payment reminders.

Marketing automation offers guest segmentation based on multiple conditions, customizable multilingual email templates for confirmations, reminders, follow up messages, and recovery communications, and automated workflows for scenarios such as guest anniversaries, reactivation campaigns, and post visit recovery. The system ensures email delivery with domain authentication, bounce and complaint management, and detailed engagement analytics. The integration replaces the need for separate marketing tools by leveraging platform data.

An embedded AI analytics engine aggregates data from bookings, occupancy patterns, staffing schedules, payment transactions, and guest feedback to generate operational insights. It identifies staffing requirements, occupancy trends, revenue optimisation opportunities, and guest retention risks, and alerts management to private feedback that requires service recovery before public posting. Integrations with recipe costing, point of sale, invoicing, and feedback services feed the AI engine with comprehensive data, enabling progressive refinement of operational recommendations as the volume of data grows.