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Title:Izzivi računovodskega spremljanja upravljanja skladišč v povezavi z umetno inteligenco v podjetju x
Authors:ID Sobočan, Luka (Author)
ID Kolar, Iztok (Mentor) More about this mentor... New window
Files:.pdf MAG_Sobocan_Luka_2025.pdf (2,61 MB)
MD5: 50CBAB5B3A32A550A5D559FE67F8C36D
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:EPF - Faculty of Business and Economics
Abstract:Magistrsko delo obravnava izzive računovodskega spremljanja in upravljanja skladišča v podjetju X, pri čemer je poseben poudarek namenjen vplivu digitalizacije ter postopni uvedbi tehnologij umetne inteligence. V središču raziskave so sodobni trendi digitalne preobrazbe, ki temeljito spreminjajo tradicionalne pristope k upravljanju zalog in s tem povezano računovodsko spremljanje. Analiza obstoječega stanja pred uvedbo digitalizacije je pokazala številne težave: zamude pri evidentiranju prejema blaga, netočnosti med inventuro, neučinkovito rabo skladiščnega prostora, pomanjkanje ažurnih informacij o stanju zalog ter šibko sledljivost materialnega toka. Te pomanjkljivosti so negativno vplivale na notranje poslovne procese, kakovost računovodskih podatkov in zadovoljstvo kupcev. Z uvedbo sodobnih digitalnih rešitev, kot so sistem za upravljanje skladišča (WMS), prenosni terminali, avtomatizacija procesov in povezava z računovodskimi moduli, se je učinkovitost bistveno povečala. Časovno trajanje ključnih opravil se je skrajšalo, napake so se zmanjšale, preglednost zalog se je izboljšala, prav tako pa tudi zanesljivost podatkov in njihova ažurnost. Posledično je digitalna transformacija okrepila povezavo med računovodstvom in operativnimi procesi podjetja, kar je omogočilo bolj ažurno, podatkovno podprto poročanje ter učinkovitejše spremljanje in obvladovanje stroškov. Rezultati raziskave potrjujejo, da digitalna preobrazba skladiščnih procesov prinaša številne koristi, med katerimi izstopajo večja natančnost, boljša sledljivost, hitrejše izvajanje procesov ter zmanjšanje stroškov, povezanih z naročanjem in zalogami. Sklepni del potrjuje obe postavljeni hipotezi in na podlagi analize poda konkretne predloge za nadaljnji razvoj: razširitev sistemske integracije, vključitev napredne analitike ter postopno uvajanje umetne inteligence pri napovedovanju in odločanju. Digitalizacija se tako izkaže kot ključen dejavnik dolgoročne konkurenčnosti, prilagodljivosti in strateškega razvoja podjetja v hitro spreminjajočem se tržnem okolju.
Keywords:skladiščni procesi, upravljanje skladišč, računovodsko spremljanje skladišč, digitalna transformacija, umetna inteligenca.
Place of publishing:Maribor
Publisher:L. Sobočan]
Year of publishing:2025
PID:20.500.12556/DKUM-93866 New window
UDC:658.785:004:657
COBISS.SI-ID:255633923 New window
Publication date in DKUM:03.11.2025
Views:123
Downloads:49
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:24.07.2025

Secondary language

Language:English
Title:Challenges of accounting monitoring of warehouse management in connection with artificial intelligence in company x
Abstract:The master’s thesis addresses the challenges of accounting monitoring and warehouse management in company X, with a special focus on the impact of digitalization and the gradual introduction of artificial intelligence technologies. At the core of the research are modern trends in digital transformation, which are fundamentally reshaping traditional approaches to inventory management and the associated accounting processes. The analysis of the existing situation before the introduction of digitalization revealed numerous issues: delays in recording the receipt of goods, inaccuracies during inventory counts, inefficient use of warehouse space, lack of up-to-date stock information, and weak traceability of material flow. These shortcomings negatively affected internal business operations, the quality of accounting data, and customer satisfaction. With the implementation of modern digital solutions—such as a Warehouse Management System (WMS), handheld terminals, process automation, and integration with accounting modules—efficiency significantly improved. The time required to perform key tasks was reduced, errors decreased, stock visibility improved, and the reliability and timeliness of data increased. As a result, digital transformation strengthened the connection between accounting and the company’s operational processes, enabling more timely, data-driven reporting and more effective cost monitoring and control. The research results confirm that digital transformation of warehouse processes brings numerous benefits, including greater accuracy, improved traceability, faster execution of processes, and a reduction in costs related to ordering and inventory. The concluding part confirms both hypotheses and, based on the analysis, offers concrete proposals for further development: broader system integration, the inclusion of advanced analytics, and the gradual introduction of artificial intelligence in forecasting and decision-making. Digitalization thus proves to be a key factor in the long-term competitiveness, adaptability, and strategic development of the company in a rapidly changing market environment.
Keywords:warehouse processes, warehouse management, warehouse accounting and control, digital transformation, artificial intelligence.


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