THE POTENTIAL OF AI IN B2B E-COMMERCE: A STRUCTURED LITERATURE REVIEW
Harald Konnerth
Pages: 114-133
Published: 23 Oct 2023
DOI: 10.62991/EB1996192528
Views: 1,578
Downloads: 139
Captures: 7 (Elsevier PlumX)
Citations: 2 (Google Scholar)
Citations: 1 (CrossRef)
Abstract: Unlike B2C E-Commerce, the exploration of E-Commerce in the B2B domain has not been as extensive, although B2B business models are expanding, and the number of purely online transactions is steadily increasing. The following application areas highlight the potential of Artificial Intelligence (AI) in B2B commerce for enhancing efficiency and improving the customer experience. Personalization enables individual product recommendations and tailored offers. AI analyzes data to predict customer needs and provide recommendations while automating repetitive tasks such as order processing and customer support. AI-powered systems assist customers in product search and ordering, and aid in dynamic pricing to maximize revenue. This paper summarizes the existing literature through a structured literature review in the context of B2B E-Commerce.
Keywords: artificial intelligence, machine learning, e-commerce, electronic-commerce, b2b, business-to-business
Cite this article: Harald Konnerth. THE POTENTIAL OF AI IN B2B E-COMMERCE: A STRUCTURED LITERATURE REVIEW. Journal of International Scientific Publications: Economy & Business 17, 114-133 (2023). https://doi.org/10.62991/EB1996192528
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