Abstract
Artificial intelligence (AI) has been used to develop and advance numerous fields and industries, including finance, healthcare, education, transportation and more. However, in the business negotiation field, such as bargain, the AI has not yet exerted its power. In order to explore the application of AI into business negotiation, we have built an intelligent robot that can help customers that lack negotiation skills when bargaining in their shopping sceneries. This bot can make decision by itself via price prediction function implemented by machine learning algorithms and the tool of decision tree. As a result, our bot has got a positive performance during a used car trade. Although the algorithm of the project is relatively simple, its main contribution is to show the potential application of AI in the business negotiation. We believe that it can provide ideas and directions for the future development of business negotiation robot.
Highlights
Negotiation is an innate skill of human beings [8]
In the part of price prediction, we use a variety of Machine Learning algorithms [10], including NN (Nearest Neighbor), KNN (K-Nearest Neighbor), SVM (Support Vector Machine), ANN (Artificial Neural Network)
The data in the negotiation robot comes from the data of a used car trading platform gripped by Crawler
Summary
Before 1980, machine learning algorithms began to develop, such as Nearest Neighbor [1] and Bayesian classifier [2]. Machine learning has become an independent discipline, integrating previous machine learning algorithms, and many new algorithms have been proposed, such as Convolutional Neural Network [3] and Support Vector Machine [4]. These machine learning algorithms can be applied to many fields, such as Go game [5], face recognition [6] and medical diagnosis [7]. There is still a lot of exploration space in this field
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