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RESTAURANT & VENUE OPERATIONSACTIVE

Mizzz: one connected system for modern venue operations

PRODUCTMizzz
ROLEStrategy · Design · Engineering · AI
STACKWeb · Mobile · Cloud · LLMs
STATUSActive

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INSIDE THE PRODUCT

A closer look

Daily management overview

Daily management overview

Team hours and weekly planning

Team hours and weekly planning

Sales and performance

Sales and performance

Menus and categories

Menus and categories

01

Overview

Mizzz is Nefrin's multi-tenant restaurant and venue operations platform. A single Flutter application and public web companion connect setup, menus, floor service, orders, preparation, reservations, staff, and guest experiences.

02

Problem

Independent venues often stitch together a POS, reservation book, staff schedule, QR-menu generator, and separate kitchen workflow. The result is repeated setup, fragmented data, and no shared view of what is happening across the venue.

03

Research

We studied real venue operations — service flows during peak hours, kitchen coordination, shift handovers, and how staff actually use (and work around) existing tools.

04

Strategy

Instead of another point solution, Mizzz uses one tenant model across the whole venue. Restaurants can begin with public menus and QR ordering, then connect floor plans, KDS and bar displays, reservations, staffing, and AI-assisted operations.

05

Design

Interfaces designed for the floor, not the office: high contrast, large touch targets, glanceable states, and flows that survive a Friday-night rush.

06

Technology

Mizzz uses one multi-platform Flutter client, Supabase for cloud data, authentication and realtime workflows, Drift for locally resilient floor and order operations, and protected AI functions grounded in each venue's live data.

07

Solution

Guests can browse or order through the public web experience while restaurant staff manage the same live operation in Mizzz. Orders reach the correct station, tables and bills stay visible, reservations and shifts remain connected, and managers work from one shared operational picture.

08

Results & Next Steps

Results and metrics will be added after validation. Next: expanding the AI insights layer and onboarding pilot venues across hospitality segments.

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