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Priyanke Jain

Group Project

User Research | UI/UX | CAD


Tempo is a comprehensive and innovative restaurant management system that seamlessly integrates AI-powered order processing, contactless payments, and wearable task management, designed to enhance operational efficiency and elevate the overall dining experience in high-end restuarants.

Hope Raker

Kareen Yeung

Innovation for the future of restaurant

Sponsored by 

Overview Video
*Edited by Hope, Graphics by me, and Rendering Animations by me and Priyanka
High-end Dining is ...
  • Complex steps of service

  • Small Margin of Error

  • High Expectations

The                               System has 
3 main features:

Order Processing

Easy Smart
Check Splitting

Task management

The                               System has 
3 main hardware:

A handheld POS system with AI speech-to-text for automatic order recording and quick edits.

A sleek payment system that allows the table to pay at their own pace

Wearable task manager for efficient staff task distribution and coordination.

  • 25+ hours of restaurant visits & interviews

  • 45 Insights generated from field research, interviews, and surveys

Background Research
Insight 1 - Broken Event Sequence

Complicated sequence of service requires steps are done in a timely manner before starting next task.


One mistake causes the entire sequence to be broken. If one server has too much work at the time, or if the servers don’t communicate effectively, this can cause the flow of service to be out of sequence.

“Everyone has to work as fast as possible to avoid these miscommunications.”

 - Sophia (Server from Rezdora)

“I’ve been here for 2 years ... I’m at your table long before [the time limit for table greeting]”

 - Max (Server from STK)

Insight 2 - Neglected Table

Because servers have to manage numerous tasks simultaneously, they forget or neglect some tables by mistake.


This results in a disparity between servers' self-assurance in their capacity to handle all their tables and customers' frequent reports of errors in restaurant reviews.

“[Customers] don’t think about all the details that were put in to making the whole experience, they will think about what was wrong with the whole experience”

 - Rachel (Server from Hilton Seelbach)

Insight 3 - Expectation of Perfection

Guests anticipate flawless service, anything short of perfection could result in a negative impression and lead to unfavorable reviews.


Fine-dining establishments rely heavily on their reputation and image to attract customers. A bad review can tarnish this reputation and discourage potential patrons from choosing the restaurant.

To use AI analysis to 
improve the flow and consistency of premium service at high-end restaurants.

Design Objective
Design Criteria

Must Have: 

  • Incorporate AI to improve flow

  • Improve service consistency

  • Reduce server mental workload

Should Have: 

  • Personalized guest experience

  • Increase labor profit margin

Nice to Have: 

  • Minimize bad reviews

  • Ease in gauging customer satisfaction

  • 56 ideas generated based on research and insights

Ideation & Concept
Concept 1 - Eliminating POS Terminals
Current Information Flow

Server must walk to a POS terminal to record information, causing high risk for error between guest info to BoH.

Removing the POS terminal allows more frequent server check-ins and eliminates time walking to the POS terminal.

Current Information Flow
*Sketch by Hope

This concept takes the appearance of a of a traditional notepad, but it includes voice recognition ordering capabilities, POS ordering system, a stylus for server modifications, and payment options.

Concept 2 - Enhancing Task Communication
Current Information Flow

POS terminal only in charge for communication between front of the house and back of the house

POS also in charge for communication between staff members.

Current Information Flow
*Sketch by Hope

This concept aims to improve intra-staff communication by leveraging AI for sending reminders and assigning tasks.

Concept 3 - Personalizing Guest Experience
Current Information Flow

Open Table is the only source to acquire guest preference and it’s disconnected from the POS system.

Database added to get user preference before reaching restaurant and also a personalized eInk menu.

Current Information Flow
*Sketch by Hope

This concept enables users to create reservations via OpenTable, input preferences into our database, and receive personalized recommendations on an e-ink menu, with the option to rate the food for continuous improvement.

Final Concept

Inspired by traditional server notepads, TempoScribe aims to enable servers flexibility and simplicity in taking orders without the need of a terminal POS


To use AI assisted voice to text order taking, servers would tap on the seat to take orders as guests say their orders. The POS also has built in voice recognition so servers no longer need to tap on the guests' corresponding seat when they speak again.

AI Voice to Text
Voice to Text

Make Easy Edits via Intuitive Gestures

Drag to Reassign

Tap to Modify

Cross to Delete

AI Handwriting to Text

Built in handwriting recognition matches what’s written with the menu . It also recognizes order specifications from your handwriting, so you no longer need to click numerous buttons just to add an order with specifications.

Once the bill is split, the server sends the data to Tempo Tap. A sleek payment system that allows the table to pay at their own pace

TempoChime is a wearable task management system that efficiently distributes and manages tasks for staff, ensuring seamless coordination in high-end dining establishments.

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