Sales Policies for a Virtual Assistant
Wenjia Ba, Haim Mendelson, Mingxi Zhu

TL;DR
This paper analyzes the pricing and selling strategies of a voice-based virtual assistant, examining how information asymmetry and consumer patience influence outcomes and comparing its effectiveness to traditional web interfaces.
Contribution
It develops equilibrium models for VA sales, introduces efficient algorithms, and compares VA performance to web interfaces, highlighting the impact of private information and consumer patience.
Findings
Monotone rankings are optimal for highly patient or impatient consumers.
Prices of high-value products are lower than low-value ones under exponential valuation distributions.
Web interfaces generally yield higher seller profits than VAs due to greater commitment power.
Abstract
We study the implications of selling through a voice-based virtual assistant (VA). The seller has a set of products available and the VA decides which product to offer and at what price, seeking to maximize its revenue, consumer- or total-surplus. The consumer is impatient and rational, seeking to maximize her expected utility given the information available to her. The VA selects products based on the consumer's request and other information available to it and then presents them sequentially. Once a product is presented and priced, the consumer evaluates it and decides whether to make a purchase. The consumer's valuation of each product comprises a pre-evaluation value, which is common knowledge, and a post-evaluation component which is private to the consumer. We solve for the equilibria and develop efficient algorithms for implementing the solution. We examine the effects of…
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Taxonomy
TopicsSupply Chain and Inventory Management · Auction Theory and Applications · Consumer Market Behavior and Pricing
