文章基本信息

标题：Arquitetura de sistemas de recomendação para apoio ao vendedor no uso de sistemas de força de vendas em empresa com grande portfólio de produtos
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作者：Fabio Kazuo Ohashi ; Marcos Antonio Gaspar ; Ivanir Costa 等
期刊名称：RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação
印刷版ISSN：1646-9895
出版年度：2021
期号：42
DOI：10.17013/risti.42.46-61
语种：Portuguese
出版社：Associação Ibérica de Sistemas e Tecnologias de Informação (AISTI)
摘要：Wholesale distribution companies usually have a large number of items sold by different manufacturers in their product portfolio. Finding and recommending products to the customer among thousands of possibilities is a challenge for the sales team. In addition, there are also new product releases and promotions that are added to the portfolio frequently. This paper proposes to develop an architecture to implement a Sales Force Automation system supported by Artificial Intelligence that can recommend products online to a sales professional when making a purchase order. To achieve this objective, the following methods and experiments were used: systematic literature review, qualitative and quantitative exploratory research, experiments, case study, proof of concept, and survey with the Delphi method. The proposed architecture was applied by building a proof of concept in an auto parts distribution company in which the system was able to provide recommendations for four different algorithms.1cm.
关键词：Recommender systems; Sales force automation; Knowledge management; Knowledge dissemination