Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
|
|
SLO
|
ENG
|
Cookies and privacy
DKUM
EPF - Faculty of Business and Economics
FE - Faculty of Energy Technology
FERI - Faculty of Electrical Engineering and Computer Science
FF - Faculty of Arts
FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
FKBV - Faculty of Agriculture and Life Sciences
FKKT - Faculty of Chemistry and Chemical Engineering
FL - Faculty of Logistic
FNM - Faculty of Natural Sciences and Mathematics
FOV - Faculty of Organizational Sciences in Kranj
FS - Faculty of Mechanical Engineering
FT - Faculty of Tourism
FVV - Faculty of Criminal Justice and Security
FZV - Faculty of Health Sciences
MF - Faculty of Medicine
PEF - Faculty of Education
PF - Faculty of Law
UKM - University of Maribor Library
UM - University of Maribor
UZUM - University of Maribor Press
COBISS
Faculty of Business and Economic, Maribor
Faculty of Agriculture and Life Sciences, Maribor
Faculty of Logistics, Celje, Krško
Faculty of Organizational Sciences, Kranj
Faculty of Criminal Justice and Security, Ljubljana
Faculty of Health Sciences
Library of Technical Faculties, Maribor
Faculty of Medicine, Maribor
Miklošič Library FPNM, Maribor
Faculty of Law, Maribor
University of Maribor Library
Bigger font
|
Smaller font
Introduction
Search
Browsing
Upload document
For students
For employees
Statistics
Login
First page
>
Show document
Show document
Title:
Umetna inteligenca v crm sistemih
Authors:
ID
Knez, Mojca
(Author)
ID
Sternad Zabukovšek, Simona
(Mentor)
More about this mentor...
Files:
UN_Knez_Mojca_2020.pdf
(622,10 KB)
MD5: 7251AF5F593A28419800A919B3C9CF04
PID:
20.500.12556/dkum/35dcafe5-e0f5-4d66-9a20-118722ede1ff
Language:
Slovenian
Work type:
Diploma project paper
Typology:
2.11 - Undergraduate Thesis
Organization:
EPF - Faculty of Business and Economics
Abstract:
Kupci so za obstoj podjetja na trgu zelo pomembni. Podjetja želijo kupcem zagotavljati čim boljšo uporabniško izkušnjo, za kar je potrebno kupca poznati. V ta namen so podjetja pričela z uporabo sistemov CRM, ki jim omogoča, da lahko kupcu nudijo dobro uporabniško izkušnjo. V diplomski nalogi bomo obravnavali kaj so CRM sistemi, katere prednosti prinašajo podjetjem ter opisali tri ponudnike teh sistemov. Ker pa so sistemi prepleteni tudi z umetno inteligenco, bomo predstavili tudi kaj umetna inteligenca sploh je in kako je vpletena v rešitve CRM. Cilj diplomske naloge je ugotoviti ali lahko rešitve CRM prinašajo podjetju konkurenčno prednost in kako je umetna inteligenca prepletena s sistemi. Zaključili smo, da sistemi CRM prinašajo podjetjem veliko prednosti, saj kupca bolje spoznajo. Z dobrim poznavanjem svojih kupcev, podjetje obdrži stranke in kupce, ter si tako lahko zagotavlja konkurenčno prednost, zaradi dobrih izkušenj kupcev in strank. Ker so to računalniško podprti sistemi pa imamo v ozadju tudi umetno inteligenco. Nekatera podjetja postavljajo umetno inteligenco že v ospredje. Tudi razvijalci sistemov in ponudniki, so prepoznali koristi umetne inteligence in tako razvili programe, kjer se umetna inteligenca konkretno prepleta s samim sistemom. Zaključimo lahko tako, da preplet umetne inteligence in sistemov CRM prinaša veliko prednosti in pomaga zagotavljati boljšo podporo strankam, vendar je pomembno, da podjetja še naprej ohranjajo tudi človeški stik, ki je za kupce in stranke lahko izrednega pomena.
Keywords:
CRM
,
umetna inteligenca
Place of publishing:
Maribor
Publisher:
[M. Knez]
Year of publishing:
2020
PID:
20.500.12556/DKUM-77442
UDC:
004.8
COBISS.SI-ID:
40053507
NUK URN:
URN:SI:UM:DK:IHPGQNC0
Publication date in DKUM:
30.11.2020
Views:
1219
Downloads:
119
Metadata:
Categories:
EPF
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
KNEZ, Mojca, 2020,
Umetna inteligenca v crm sistemih
[online]. Bachelor’s thesis. Maribor : M. Knez. [Accessed 22 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=77442
Copy citation
Average score:
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
(0 votes)
Your score:
Voting is allowed only for
logged in
users.
Share:
Similar works from our repository:
Analiza proizvodnje električne energije v Gorenjskih elektrarnah v letu 2017
Analiza proizvodnje električne energije v Gorenjskih elektrarnah v letu 2018
Analiza proizvodnje električne energije v Gorenjskih elektrarnah v letu 2016
Analiza proizvodnje električne energije Gorenjskih elektrarn v letu 2015
Zunanja presoja vodenja kakovosti v Gorenjskih elektrarnah
Similar works from other repositories:
Analysis of electric energy production in a small hydro power plant
Prosti trg za električno energijo
Assessment of variability of electric energy production in small hydro power plants
Politološki aspekti decentralizacije proizvodnje električne energije
Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
Licences
License:
CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:
http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:
The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:
31.08.2020
Secondary language
Language:
English
Title:
Artificial intelligence in crm systems
Abstract:
Customers are very important for the company's existence in the market. Companies want to provide customers with the best possible user experience, for which it is necessary to know the customer. To this end, companies have started using CRM systems that allow them to provide a good user experience to the customer. In the diploma thesis we will discuss what CRM systems are, what advantages they bring to companies and describe three providers of these systems. However, since systems are also intertwined with artificial intelligence, we will also present what artificial intelligence is and how it is involved in CRM solutions. The aim of the thesis is to determine whether CRM solutions can bring a company a competitive advantage and how artificial intelligence is intertwined with systems. We concluded that CRM systems bring many benefits to companies as they get to know the customer better. With a good knowledge of its customers, the company retains customers and customers, and thus can ensure a competitive advantage, due to the good experience of customers and clients. Because these are computer-aided systems, we also have artificial intelligence in the background. Some companies are already putting artificial intelligence at the forefront. System developers and providers have also recognized the benefits of artificial intelligence and thus developed programs where artificial intelligence is concretely intertwined with the system itself. We can conclude that the intertwining of artificial intelligence and CRM systems brings many benefits and helps to provide better customer support, but it is important that companies also continue to maintain human contact, which can be extremely important for customers and clients.
Keywords:
CRM
,
Artificial Intelligence
Comments
Leave comment
You must
log in
to leave a comment.
Comments (0)
0 - 0 / 0
There are no comments!
Back
