Priyanke Jain
Group Project
User Research | UI/UX | CAD
Skills
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:
AI-Powered
Order Processing
Easy Smart
Check Splitting
Systematic
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.
Observation
Extension
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.
Observation
Extension
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.
Observation
Extension
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
Ordering
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.