1. Yunzhi VIP Customer Recognition System
We use the cameras with face recognition technology which are installed
at the entrance of the hotel. Once the VIP customers enter your hotel, you can
know who he is. And the customer’s past consumption information and
consumption habits will be reflected to you at the first time. Then you can
provide the targeted services to this customer. These powerful features
improve the customer experience to a large extent and maintain the old
customers.
VI P Cust omer Recogni t i on
Your Excl usi ve
Recogni t i on Syst em
Key date:
The cost of gaining a new customer is 5 times to keeping an old customer.
The contribution to the profit of an old customer is 16 times more than a
new customer.
2. 80% of corporate profits come from 20% of the customers, and these
customers are loyalty customers.
The reason to the loss of 68% of the customers is that someone in this
enterprise treated them rudely and impolitely.
If waiters can remember the VIP's name, consumption habits, hobbies
and other information, the customer will be provided with more higher-quality
individulized services. However, it is difficult for a waiter to remember the
information of every single customer, which causes VIPs to be treated as
general customers, to be introduced to wrong products or services and to
show the VIP/discount card everytime they request for discount items. The
results are clear: low customer satisfaction and loss of customers.
The meaning of the Yunzhi VIP Customer Recognition System:
Make everything possible: VIPs will be recognized the moment they step
into the door.
Let the VIPs enjoy the same quality of services in different branches to
improve their experience.
Enhance the quality of services by collecting the information of VIPs' habit
and interest. For example, they will be served with their favorate drinks,
which will make themselves at home.
3. Avoid the loss of advanced customers by increasing their satisfaction, and
absorb more new customers by references.
The system can provide lists of potential customers(frequent customers,
for instance) and blacklists.
Server
St or age Of dat a, Anal ysi s of dat a
VI P
I nf ormat i on
Non VI P VI P
Ent r ance
Recept i on
4. Vi deo
sur vei l l ance
Locat i ng
f ace
Capt ur e t he
f aci al i mages
Transf er t he dat a t o
backgr ound and st or e
VI P Cust omer s
Recogni t i on
Face Dat abase
Face Phot o Dat abase