Koncept i primjena umjetne inteligencije na primjeru Amazon Go

master's thesis

• Title (english): Concept and application of artificial intelligence on the example of Amazon Go
• Author: Andrea Jazbec
• Mentor: Mario Spremić (mentor)
• Committee member: Ivan Strugar (član povjerenstva)
• Committee member: Božidar Jaković (član povjerenstva)
• Granter: University of Zagreb; Faculty of Economics and Business; (Department of Informatics); Zagreb
• Defense date and country: 2023-08-31, Croatia
• Scientific / art field, discipline and subdiscipline: SOCIAL SCIENCES; Economics; Business Informatics

Abstract

Tehnologija se neprestano razvija iz dana u dan i sve je više područja u koja se ona može implementirati. Kako bi industrije održale konkurentnost na tržištu, moraju pratiti razvoj digitalnih tehnologija. Ovaj diplomski rad istražuje implementaciju umjetne inteligencije u industriju maloprodaje na primjeru Amazon Go. Kako bi se približili potrošačima, pomoću umjetne inteligencije mogu bolje razumjeti kupovne navike potrošača, njihovo ponašanje, unaprijediti njihovo iskustvo te poboljšati zadovoljstvo kupaca, a samim time i unaprijediti svoje poslovanje. Amazon Go predstavlja koncept trgovina bez blagajni, temeljen na naprednoj umjetnoj inteligenciji, uključujući strojno učenje, duboko učenje i računalni vid. U tim trgovinama, korisnici mogu jednostavno ući, uzeti proizvode i napustiti trgovinu bez klasične naplate putem blagajne. Sustav precizno prati proizvode koje kupci uzmu s polica i automatski obračunava njihovu kupovinu. Tu tehnologiju Amazon naziva „Just Walk Out“ tehnologija. Ona donosi brojne prednosti, uključujući uštedu vremena, praktičnost i iskustvo kupovine na novoj razini. Iako postoji nekoliko izazova i potencijalnih nedostataka, Amazon Go trgovine predstavljaju primjer kako napredna tehnologija može transformirati tradicionalno iskustvo kupovine i potaknuti daljnji razvoj umjetne inteligencije u maloprodaji i drugim industrijama.

Abstract (english)

Technology is constantly developing and there are more areas in which it can be implemented. In order for industries to remain competitive in the market, they must follow the development of digital technologies. This thesis explores the implementation of artificial intelligence in the retail industry using the example of Amazon Go. In order to get closer to consumers, they can use artificial intelligence to better understand consumer buying habits, their behavior, improve their experience and improve customer satisfaction, and thus improve their business. Amazon Go represents a cashier-less store concept based on advanced artificial intelligence, including machine learning, deep learning and computer vision. In these stores, users can simply enter, take the products and leave the store without the traditional checkout. The system precisely monitors the products that customers take from the shelves and automatically calculates their purchases. Amazon calls this technology "Just Walk Out" technology. It brings numerous advantages, including time saving, convenience and shopping experience at a new level. Although there are several challenges and potential drawbacks, Amazon Go stores are an example of how advanced technology can transform the traditional shopping experience and drive further development of artificial intelligence in retail and other industries.

• Keywords: umjetna inteligencija; digitalne tehnologije; maloprodajna industrija; Amazon Go; „Just Walk Out“ tehnologija
• Keywords (english): artificial Intelligence; digital technologies; retail industry; Amazon Go; „Just Walk Out“ technology
• Language: croatian
• URN:NBN: urn:nbn:hr:148:257257
• Study programme: Title: Business economics; Study programme type: university; Study level: integrated undergraduate and graduate; Academic / professional title: sveučilišni magistar ekonomije/sveučilišna magistra ekonomije (sveučilišni magistar ekonomije/sveučilišna magistra ekonomije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Access restricted to students and staff of home institution
• Created on: 2023-09-04 10:00:40