The Future of Restaurants THE PROB L EM S 01. 02. 03. Sta f - PowerPoint PPT Presentation

Feb 25, 2024 •331 likes •444 views

The Future of Restaurants THE PROB L EM S 01. 02. 03. Sta f Queueing Sta f - E ffj ciency Time Turnover SO LU TI O N S A platform that helps restaurants increase their pro f tability by IMPROVING STAFF EFFICIENCY CUSTOMER EXPERIENCE

The Future of Restaurants
THE PROB L EM S 01. 02. 03. Sta f Queueing Sta f - E ffj ciency Time Turnover
SO LU TI O N S A platform that helps restaurants increase their pro f tability by IMPROVING STAFF EFFICIENCY CUSTOMER EXPERIENCE OPERATIONS AND LABOR COST
1 ENTICE The moment of decision to choose a speci f c restaurant. 2 ENGAGE The period between ordering and payment. 3 EXIT The phase between payment and receiving meals. 4 CU STO MER EXTEND The period after meal is received. I NTE RACTIO N
TH E FU T URE OF RESTAURANTS
We provide end-to-end solutions that will allow restaurants, retailers, and other food and beverage stakeholders have its own version of powerful digital ecosystem.
MULTIPLE ADS AND SERVICE TYPES PROMOTION Dine in, Take away, Ads and promotion Ojol, and many more placement MOBILE SUPPORT LATEST ORDERING QRIS PAYMENT Order and pay through Support QR-payment DANA, mobile by scanning OVO, GOPAY, LINKAJA, and a QR-code many more
IDR 1.800.000 PER KIOSK/MONTH Kiosk Stand and EDC mount provided (*Include free 2 months when you subscribe for 1 year) *T&C APPLIED
T HA N K YOU contact@kubox.io +62 812 9282 2824

Recommend

Should I invest it? Predicting future success of restaurants using dataset

Should I invest it? Predicting future success of restaurants using dataset Xiaopeng Lu, Jiaming Qu PEARC 18 INTRODUCTION More and more people choose Yelp to help making daily decisions It would be fun to see if

723 views • 23 slides

Welcome! Food! - Restaurants e Location 4 college restaurants. Closest options: Physics

Welcome! Food! - Restaurants e Location 4 college restaurants. Closest options: Physics (Fsica); Prefecture (PCO). Food! - Prices and operation hours Price: R$2,00 Breakfast price: R$0,50 Student ID or app needed: You may obtain temporary

379 views • 13 slides

SX- -690 for 690 for Bars & Restaurants SX Bars & Restaurants Shown with optional

High Quality at Affordable Cost High Quality at Affordable Cost SX- -690 for 690 for Bars & Restaurants SX Bars & Restaurants Shown with optional i-button for server ID and without standard cash drawer February, 2007 Table of

336 views • 9 slides

7 prfx Pi PJ i I i oprcx E nP Aside Var X l p Letz np is a.ru I Vm X pVafXDtVafX

Zoo of r v s 7 f Bercp I w prob p Bernoulli p Z l p O has dish of 2 Van F 2 p Tp p n'iodintosses Xv Binfn p Binomial hip dit's in each w prob p of up H's coming X X Xn Xi tXzt Beep Xi's are mutually indep 0 1,2 X takes valves

366 views • 4 slides

d.vn dI d Xper Pr Xp dir l xr MEE PDdppnpja.tn 10 4 I 2 Px S going 43 Pym p yGis p

134 4 Review session today 30 Sieg Joint distributors X 4,2 Joint prob mass fn Y PrH nfxxHD l pxycx.gg Cumulatne Dish Fn Joint Pr X Yes yP yl9b FXycx.us a D L R 100 random voters prtpptPE prob pp pp PL XD votes furdenocrat

39 views • 3 slides

spanning trees, forests and limit shapes R. Kenyon (Brown University) UST on Z 2 Prob(degree =

spanning trees, forests and limit shapes R. Kenyon (Brown University) UST on Z 2 Prob(degree = 2) = 1 trunk properties (K, Wilson): 2 2 1) k Prob( ) = ( { k 3 Given a graph G : 4 2 1 Let d : R V R E be the incidence matrix:

625 views • 26 slides

RESTAURANTS ROB GIFFORD Executive Vice President National Restaurant Association Educational

PUTTING GEN Z TO WORK IN RESTAURANTS ROB GIFFORD Executive Vice President National Restaurant Association Educational Foundation TOPICS Who is Gen Z? Industry Data What Gen Z Thinks About Restaurants & Foodservice What You

691 views • 54 slides

Probabilistic Actual Causation Luke Fenton-Glynn l.glynn@ucl.ac.uk Intro Prob-Raise Three

Intro Prob-Raise Three Scenarios Prob. Causal Models Apt Models Conclusion Probabilistic Actual Causation Luke Fenton-Glynn l.glynn@ucl.ac.uk Intro Prob-Raise Three Scenarios Prob. Causal Models Apt Models Conclusion Introduction

229 views • 20 slides

CHANGES IN FOOD SAFETY LAW WHAT RESTAURANTS HAVE TO DO TO COMPLY WITH LEGISLATION Compliance to

CHANGES IN FOOD SAFETY LAW WHAT RESTAURANTS HAVE TO DO TO COMPLY WITH LEGISLATION Compliance to Regulation R638 Requirements Ensuring Hygiene and Food Safety WHAT RESTAURANTS MUST DO TO COMPLY If you handle food, food equipment or utensils,

282 views • 7 slides

list en t o o t he prob oblem -rich h envi nvironm nm ent nt com e up up w it h h an n

list en t o o t he prob oblem -rich h envi nvironm nm ent nt com e up up w it h h an n idea t he hen n ano not he her one ne find peo eople e w ho can hel elp you su succeed eed list en t o o t he prob oblem -rich h

508 views • 35 slides

Restaurants & Bars Restaurants & Bars Restaurants & Bars Restaurants & Bars

Restaurants & Bars Restaurants & Bars Restaurants & Bars Restaurants & Bars Entertainments & Services Entertainments & Services Shops Shops Shops Shops

345 views • 12 slides

/ Link Invariants from Braided Monoidal On the PROB of Singular Braids Categories Singular

On the PROB of Singular Braids Jonathan Beardsley / Link Invariants from Braided Monoidal On the PROB of Singular Braids Categories Singular Braid Monoids From Operads to PROBs Jonathan Beardsley (UNR), Suhyeon Lee (Berkeley), The

239 views • 20 slides

1 Conceptual Example (III): Less formally (II) Or-tree-based Search n If all

2.4.3 Or-tree-based Search Formal Definitions (I) Or-tree-based Search Model A = ( S , T ): Basic Idea: n Prob set of problem descriptions If every solution is okay, represent the different n Altern Prob +

190 views • 3 slides

Accommodation | restaurants Tel: 04 044 501 501 31 3135 Cell: ll: 07 073 335 335 23 2380

Accommodation | restaurants Tel: 04 044 501 501 31 3135 Cell: ll: 07 073 335 335 23 2380 Prepared for the Minister of Tourism, Honourable Derek Hanekom, and His Worship, the executive mayor, Peter Lobese, and all protocol observed This

1.11k views • 47 slides

Darden Restaurants (DRI) Darden overview Darden is the worlds largest full service restaurant

1 Darden Restaurants (DRI) Darden overview Darden is the worlds largest full service restaurant company. Approximately 1,500 company-operated restaurants across the US and Canada. Seven restaurant concepts spanning both casual

182 views • 6 slides

Op Open Ne Netw tworked ed Le Learn rning (O (ONL NL) ) p ppet och och prob

Op Open Ne Netw tworked ed Le Learn rning (O (ONL NL) ) p ppet och och prob oblembaserat lrande on online i praktiken Vlkommen!! ITHU/UK Virtuell konferens 2019-09-27 10.50-11.35 Lars Uhlin Alastair Creelman

793 views • 22 slides

Law of Propinquity 0.4 Prob of Daily Communication 0.3 0.2 0.1 0 0 20 40 60 80 100

Law of Propinquity 0.4 Prob of Daily Communication 0.3 0.2 0.1 0 0 20 40 60 80 100 Distance (meters) Gender Sharing Confidential Matters: Male Female Male 1245 748 Female 970 1515 Race Race White Black Hispanic Other

393 views • 17 slides

Ma Margi ginalization on, Co Condi diti tion onal l Prob ob., and d Ba Bayes Com

Re Reaso sonin ing g unde der Un Uncerta tain inty ty: Ma Margi ginalization on, Co Condi diti tion onal l Prob ob., and d Ba Bayes Com omputer Sc Science c cpsc sc322, L , Lecture 2 25 (Textbook Chpt 6.1.3.1-2) 2)

772 views • 30 slides

Effects of of Background ound Noi oise and Playback on on Avian D n Detection on Prob

Effects of of Background ound Noi oise and Playback on on Avian D n Detection on Prob obabilities i in a a Piedmont nt F For orest Lucas Bobay, Sarah Denoble, Frankie Fann, Franco Gigliotti, Madi McDiarmid, Lanette Phillips AEC 501

290 views • 10 slides

A GP and Parent Perspective on Th The e prob oblem em Paediatric Allergy Allergic

11/10/16 A GP and Parent Perspective on Th The e prob oblem em Paediatric Allergy Allergic disorders are becoming increasingly common in the UK, with serious and life threatening allergies on the increase ( Burton 2009 ). Allergies

637 views • 6 slides

De Deploying a RIPE E Atl tlas s Prob obe (T (The Hard Way) Chris Russell UKNOF 41

De Deploying a RIPE E Atl tlas s Prob obe (T (The Hard Way) Chris Russell UKNOF 41 Edinburgh, September 2018 Pulsant, Newcastle Me, Myself, I and the company I worked for @kit_chrisr Senior Networks Engineer, Pulsant (Onyx, Knowledge

461 views • 30 slides

Lec ecture 17 Da Datal alog og Int ntro o to o Prob obabi bility 1 Lect cture re O

Computer Science CPSC 322 Lec ecture 17 Da Datal alog og Int ntro o to o Prob obabi bility 1 Lect cture re O Overvi rview Recap of Lecture 16 TD: soundness and completeness SLD Resolution in Datalog Intro to

660 views • 51 slides

Psychos osoci ocial p prob oblem ems a and r resilience s ce strateg egies o of children

Psychos osoci ocial p prob oblem ems a and r resilience s ce strateg egies o of children and and youth w who ar are l living i in the f front l line zone i e in the E e East o of Uk Ukraine Bogdanov Sergiy 15th Symposium on

659 views • 35 slides

Recap: Lexicalized PCFGs We now need to estimate rule probabilities such as Prob (

Recap: Lexicalized PCFGs We now need to estimate rule probabilities such as Prob ( S(questioned,Vt) NP(lawyer,NN) VP(questioned,Vt) | S(questioned,Vt) ) 6.864 (Fall 2007): Lecture 5 Sparse data is a problem. We have a huge number of

385 views • 19 slides