Analyzing sales proposal rejections via machine learning

Nguyen, Peter; Friend, Scott B.; Chase, Kevin S.; Johnson, Jeff S.

doi:10.1080/08853134.2022.2067554

Cited by 7 publications

(1 citation statement)

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“…The document titled "Analyzing sales proposal rejections via machine learning" (Nguyen, 2023) provides of using AI and machine learning (ML) that can be used to analyze unstructured, complex sales data. This approach can help uncover buyer-and transaction-level insights, which can be used to better understand the antecedents of customer dissatisfaction that lead to supplier rejections.…”

Section: Rq1: What Benefits Can Be Achieved Through the Use Of Ai?mentioning

confidence: 99%

The Potential of Ai in B2b E-Commerce: A Structured Literature Review

Konnerth

2023

Economy & Business

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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.

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Section: Rq1: What Benefits Can Be Achieved Through the Use Of Ai?mentioning

confidence: 99%