Robot Pintar Indonesia (ROPI) for AI-Driven Autonomous Personalized Robot: Systematic Literature Review

Robot Pintar Indonesia (ROPI) for AI-Driven Autonomous Personalized Robot: Systematic Literature Review

Mira Della Masali, Maya Malinda, Yohanes Kurnia, Indrajani Sutedja

Robot Pintar Indonesia (ROPI) for AI-Driven Autonomous Personalized Robot: Systematic Literature Review

With the digital transformation, advertisers cannot reach their consumers anymore with traditional advertising, as these types of advertising tend to be static and non-interactive, and due to the lack of analytical capabilities in real time. This study explores the potential of Robot Pintar Indonesia (ROPI), an autonomous, personalized robot developed by PT. SARI Teknologi Global. We performed a Systematic Literature Review (SLR) compliant to the PRISMA framework, which led to a final set of 30 key publications selected from 1,441 studies published between 2015 and 2025 retrieved from Scopus, Google Scholar, and Crossref databases. The literature was grouped according to four categories: artificial intelligence-based personalized marketing, autonomous advertising robot, artificial intelligence-based customer analysis, and ethical issues. The study shows that ROPI’s ability to recognize facial expressions, analyze demographics, and detect emotional responses greatly increase engagement, with 1.9 interactions per visitor on average, 9 seconds in attention span, and a conversion rate of 19.81%, especially among users aged 15-29. ROPI’s Business-to-Robot-to-Consumer (B2R2C) model generates measurable marketing results by implementing data-driven decisions. Issues regarding privacy, transparency, and acceptance will be key to achieving sustainable AI deployment. In conclusion, this study explores how artificial intelligence and smart robots like ROPI can revolutionize digital advertising by making it more personalized, engaging, and effective, while also addressing ethical concerns such as privacy and public trust.

2025/06/15

https://insyma.org/proceedings/files/articles/MIRA_DELLA_MASALI.pdf

https://insyma.org/proceedings/items/show/391

AI-driven advertising, Personalized Marketing, Customer Analytics, Autonomous Marketing Robot, Digital Marketing Ethics

494

499

3047-857X

Proceedings of the International Symposium on Management (INSYMA)

22

Fakultas Bisnis dan Ekonomika, Universitas Surabaya

Mira Della Masali

Maya Malinda

Yohanes Kurnia

Indrajani Sutedja

80

Mira Della Masali, Maya Malinda, Yohanes Kurnia, Indrajani Sutedja