iQueue, the smartest way to stand in line. iQueue is the evolution of queuing in Singapore. Our mobile app enables you to know when and where queues are shortest, and allows you to virtually stand in line while you do other things.
19. Integrating With Current Systems
Go to Get a Stay until
store
Store ticket called
Down Leave
Go to
Go Get a
load app until
store
Store ticket
& scan called
Check Go to
Go to
queues/ Book store
Store
driving now when
time notified
called
20. How do we use DATA? SINGAPORE
‣ Quantum Invention Realtime Traffic Data
‣ Existing eCitizen Government Waiting/Queueing Data
‣ Back End Queue Data from Client
22. The Overall Opportunity SINGAPORE
‣ Integrate into existing GOVT eService to create mobile
platform
‣ Create Further Data Sets
‣ Even location peaks and troughs
‣ Even daily peaks and troughs
‣ Opportunity for targeted advertising
The wider opportunity to get customers buying products
elsewhere, while they wait.
23. The Potential Market SINGAPORE
‣ Singapore Government Agencies
‣ 25 major Telco service centers
‣ 83 malls
Global Scalability
‣ 30+ Hospitals/health care centers
‣ Theme Parks Such As Universal studios (10,300 visitors
per day - $83 Average Spend)
‣ We already have contacts in all of these companies
24. The Opportunity For Monetization SINGAPORE
‣ Commercial purchasers/subscribers - Singtel, Starhub,
Universal Studios
‣ Government grants now, in future money from consulting
about industry efficiency (IDA Digital Comms)
‣ Shopping mall developers that could then on-sell advertising
to their tenants
25. SINGAPORE
Where could we take it in the future?
26. Future Considerations SINGAPORE
‣ Live push notifications for users when specific queues are
short
‣ Multiple queue optimization at amusement park
‣ Crowd Sourced Recommendations & Ratings (Client Service)
‣ Integration With Mall mapping apps (Plaza Singapura)
28. Competitive Set SINGAPORE
‣ Hospital camera view website (queue watch)
‣ Q-minder (Estonian app)
‣ Q-less (web based white labeling)
‣ Timetrade (Apple Store appointment booking)
‣ Restaurant Beepers
29.
30. Next Steps SINGAPORE
‣ Start conversations about existing queue data,
evaluate existing solutions and potential purchasers
problems
‣ Feasibility and cost of integration with existing systems
‣ Design more accurate algorithms to better estimate
queuing times
‣ Find a client to test
35. Credits & Contacts SINGAPORE
Data sets used:
Quantum Invention Realtime Traffic
Team lead
Name: Wu Huayu
Number: 98460346
Email: wuhuayu@gmai.com
Team members:
Wu Huayu
Xue Mingqiang
Zhou Jingbo
Alicia Tan
Julian Andrews
Ben Lightfoot
36. Mission statement/value proposition SINGAPORE
This project will improve Singapore by reducing time
wasted standing in queues. Wasted time that effects:
‣ Workplace Productivity
‣ Retailer Revenue
‣ Personal Time
This new found time allow us to:
‣ Continue Working until our queue time is ready
‣ Continue Shopping (Within Store/Within Mall)
‣ Relax and enjoy time with your friends
‣ Get lunch/dinner like the time is intended for
37. Example of lost revenue SINGAPORE
500 Customers Per Day
Average Daily foot
traffic is 500 customers
The Average Shopper
spends $1.25 a minute
ten minutes wait FOR EACH
is $6250 lost SPEND A DAY
OR OVER $2 MILLION A YEAR
38. The Opportunity SINGAPORE
24% of consumers abandon their purchases
when faced with a long line.
Notas del editor
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We’ve calculated that to be a COST OF $7.2 billion A year\n\nLost wages\n\nLost revenue\n\nLost time\n
We’ve calculated that to be a COST OF $7.2 billion A year\n\nLost productivity for companies\n\nLost revenue for retailers - 24% of consumers abandon their purchases when faced with a long line.\n\nLost time for the rest of us.\n
We want to give that time back\n
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User perspective.\n\nguy checks queue locations - Guy walks into store – Guy gets ticket or inputs QR code – guy walks out happy\n
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Obviously there are already various methods to control queues being used, but they either require extra hardware or they don’t allow customers to leave the locations, and they don’t allow the customer to optimize their choice of queue or the retailer to optimize customer flow.\n\nCompetitors (whats the diff and why are we better?)\n\n