Hospitality SaaS

Bokafy

Bokafy was designed as a hospitality operations platform that brings reservations, real-time table updates, and conversational booking flows into one system. The product helps restaurants reduce missed bookings, respond faster to guests, and manage operations from a single workflow.

Booking automationHospitality SaaSReservation dashboard

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Client TypeRestaurants, hospitality operators, and SaaS founders

RoleAI product architect and full-stack implementation partner

TimelineSaaS workflow design, AI automation, and launch-ready architecture

StatusFeatured portfolio case study

Value Story

Booking automation built for hospitality teams.

Operations Problem

Reservations arrive from too many channels

Restaurants and venues need booking flows that connect guest requests, availability, staff visibility, and follow-up.

Product Strategy

Conversation to reservation management

Bokafy connects conversational booking, table management, guest channels, and staff dashboards into one operational flow.

Business Value

Less booking friction for guests and staff

The product reduces manual coordination and gives hospitality teams a clearer view of reservation activity.

My Contribution

From booking friction to staff-friendly SaaS workflow.

Mapped guest booking journeys across web, chat, and voice channels.

Designed the reservation data model and table-management workflow.

Planned AI assistant behavior for FAQs, availability checks, and booking capture.

Structured the platform for operational dashboards and future SaaS expansion.

Product Capabilities

What the user actually gets

AI booking

Guests can move through conversational reservation flows without waiting for manual back-and-forth.

Table management

Availability and table context help staff understand what can be booked and when.

Guest channels

The platform supports booking interactions across the channels guests naturally use.

Reservation dashboard

Staff can review booking activity, manage reservations, and keep operations coordinated.

System Architecture

Guest request to reservation flow

Guest channel layer captures booking requests from web, chat, and voice.

AI assistant layer interprets intent, answers FAQs, and collects reservation details.

Availability engine checks tables, time slots, guest counts, and operational rules.

Operations dashboard lets staff confirm, update, and monitor bookings.

Data layer supports customer records, reservations, tables, and future multi-location use.

Outcomes

What this proves

Created a unified booking workflow across web, chat, and voice channels.
Improved operational clarity by connecting guest requests to table availability and staff review.
Reduced the product risk of fragmented booking data by defining one reservation source of truth.
Prepared the platform for analytics, CRM, and multi-location SaaS features.

Technology

Core stack

ReactNode.jsPineconeSupabase

Work together

Need an AI booking product that reduces operational friction?

I can help design conversational booking flows, staff dashboards, reservation logic, and hospitality SaaS architecture.

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