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Title:Informacijska podpora prodaji v proizvodnem podjetju: analiza primera
Authors:ID Lah, Oskar (Author)
ID Perko, Igor (Mentor) More about this mentor... New window
Files:.pdf MAG_Lah_Oskar_2024_(1).pdf (4,05 MB)
MD5: 69C2351AB711F523DC51F6546A51FAE0
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:EPF - Faculty of Business and Economics
Abstract:Magistrska naloga z naslovom "Informacijska podpora prodaji v proizvodnem podjetju: analiza primera" se osredotoča na analizo informacijskih sistemov in tehnologij, ki podpirajo proces prodaje v poslovnem okolju podjetja AJM, specializiranega za stavbno pohištvo po meri. Naloga raziskuje obstoječe prakse in tehnologije ter ocenjuje njihove učinke pri izboljšanju prodajnih dejavnosti in doseganju poslovnih ciljev. Poseben poudarek je na primerjavi med klasičnim prodajnim podjetjem in proizvodnim podjetjem, ki vključuje inženiring izdelkov, ki so prilagojeni željam strank. V okviru raziskave se analizira trenutni sistem zbiranja, shranjevanja in uporabe prodajnih informacij v podjetju AJM ter ocenjuje učinke obstoječih poslovnih procesov in orodij, zlasti CRM sistema HubSpot in ERP sistema Cantor. Metodologija vključuje deskriptivni pristop v teoretičnem delu ter metodo analize primera v empiričnem delu, kjer se preučuje dejanska uporaba CRM in ERP sistema v podjetju AJM. V magistrskem delu je bilo s pomočjo uporabljenih metod ugotovljeno, da informacijska podpora pozitivno vpliva na prodajne rezultate, da CRM sistemi z avtomatizacijo izboljšujejo učinkovitost prodaje, in da poslovni uporabniki ocenjujejo informacijsko podporo kot pozitivno komponento na njihovo zadovoljstvo pri delu. Raziskava identificira ključne izzive in prednosti obstoječega sistema ter predlaga izboljšave, ki bi lahko prispevale k boljšemu razumevanju kupcev, učinkovitejši komunikaciji, upravljanju prodajnih podatkov in povečanju stopnje konverzij.
Keywords:Upravljanje odnosov s strankami, načrtovanje virov podjetja, informacijska podpora, prodajne informacije, proizvodno podjetje, poslovni procesi, informacijsko orodje.
Place of publishing:Maribor
Publisher:O. Lah
Year of publishing:2024
PID:20.500.12556/DKUM-89737 New window
UDC:004.77:339.1
COBISS.SI-ID:221203971 New window
Publication date in DKUM:07.01.2025
Views:222
Downloads:55
Metadata:XML DC-XML DC-RDF
Categories:EPF
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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:09.08.2024

Secondary language

Language:English
Title:Information support for sales in a production company: a case analysis
Abstract:Master's thesis titled "Information support for sales in a manufacturing company: case analysis" focuses on the analysis of information systems and technologies supporting the sales process in the business environment of AJM, specialized in custom building fixtures. The thesis investigates current practices and technologies, evaluating their impact on improving sales activities and achieving business goals. Special emphasis is placed on comparing traditional sales companies with manufacturing companies that include engineered-to-order product customization. The study analyzes the current system of collecting, storing, and utilizing sales information at AJM, assessing the effects of existing business processes and tools, particularly the CRM system HubSpot and the ERP system Cantor. The methodology employs a descriptive approach for the theoretical part and a case study analysis method for the empirical part, examining the actual use of CRM and ERP systems at AJM. Through these methods, the thesis establishes that information support positively influences sales results, CRM systems with automation enhance sales efficiency, and business users perceive information support as positively impacting their job satisfaction. The research identifies key challenges and advantages of the existing system and proposes improvements aimed at better understanding customers, enhancing communication, managing sales data, and increasing conversion rates.
Keywords:Customer Relationship Management, Enterprise Resource Planning, information support, sales information, manufacturing company, business processes, information tool.


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