Le Chen
ABSTRACT
The rise of e-commerce has unlocked practical applications for algorithmic pricing (also called dynamic pricing algorithms), where sellers set prices using computer algorithms. Travel websites and large, well known e-retailers have already adopted algorithmic pricing strategies, but the tools and techniques are now available to small-scale sellers as well.
While algorithmic pricing can make merchants more competitive, it also creates new challenges. Examples have emerged of cases where competing pieces of algorithmic pricing software interacted in unexpected ways and produced unpredictable prices, as well as cases where algorithms were intentionally designed to implement price fixing. Unfortunately, the public currently lack comprehensive knowledge about the prevalence and behavior of algorithmic pricing algorithms in-the-wild.
In this study, we develop a methodology for detecting algorithmic pricing, and use it empirically to analyze their prevalence and behavior on Amazon Marketplace. We gather four months of data covering all merchants selling any of 1,641 best-seller products. Using this dataset, we are able to uncover the algorithmic pricing strategies adopted by over 500 sellers. We explore the characteristics of these sellers and characterize the impact of these strategies on the dynamics of the marketplace.
- Amazon marketplace web service (amazon mws) documentation. Amazon.com, 2015. http://docs.developer.amazonservices.com/en_US/dev_guide/index.html.Google Scholar
- Amazon marketplace web service (amazon mws) documentation -- submitfeed. Amazon.com, 2015. http://docs.developer.amazonservices.com/en_US/feeds/Feeds_SubmitFeed.html.Google Scholar
- Amazon sellers sold record-setting more than 2 billion items worldwide in 2014. Business Wire, January 2015. http://www.businesswire.com/news/home/20150105005186/en/Amazon-Sellers-Sold-Record-Setting-2-Billion-Items.Google Scholar
- Fees and pricing. Amazon.com, 2015. https://www.amazon.com/gp/help/customer/display.html?nodeId=1161240.Google Scholar
- Former e-commerce executive charged with price fixing in the antitrust division's first online marketplace prosecution. U.S. Department of Justice, April 2015. http://www.justice.gov/opa/pr/former-e-commerceexecutive-charged-price-fixing-antitrust-divisions-firstonline-marketplace.Google Scholar
- Fulfillment fees for orders on amazon.com. Amazon.com, 2015. http://www.amazon.com/gp/help/customer/display.html/?nodeId=201119410.Google Scholar
- Increase your chances of winning the buy box. Amazon.com, 2015. https://www.amazon.com/gp/help/customer/display.html/ref=hp_rel_topic?ie=UTF8&nodeId=201687830.Google Scholar
- Match low price. Amazon.com, 2015. http://www.amazon.com/gp/help/customer/display.html/ref=hp_left_cn?ie=UTF8&nodeId=200832850.Google Scholar
- ANGWIN, J., AND MATTIOLI, D. Coming soon: Toilet paper priced like airline tickets. The Wall Street Journal, 2012. http://www.wsj.com/articles/SB10000872396390444914904577617333130724846.Google Scholar
- BABAIOFF, M., LUCIER, B., AND NISAN, N. Bertrand networks. In Proceedings of the Fourteenth ACM Conference on Electronic Commerce (2013), EC '13. Google ScholarDigital Library
- BABAIOFF, M., NISAN, N., AND PAES LEME, R. Price competition in online combinatorial markets. In Proceedings of the 23rd International Conference on World Wide Web (2014), WWW '14. Google ScholarDigital Library
- BABAIOFF, M., PAES LEME, R., AND SIVAN, B. Price competition, fluctuations and welfare guarantees. In Proceedings of the Sixteenth ACM Conference on Economics and Computation (2015), EC '15. Google ScholarDigital Library
- BENMAYER, T. The buy box cheat sheet. Feedvisor, May 2014.http://feedvisor.com/the-buy-box-cheat-sheet/.Google Scholar
- BERTRAND, J. Book review of theorie mathematique de la richesse sociale and of recherches sur les principles mathematiques de la theorie des richesses. J des Savants 67, 2 (1883), 499--508.Google Scholar
- BISHOP, T. Amazonfresh delays $299/year prime fresh rollout, tweaks subscription model in california. Geek Wire, June 2015. http://www.geekwire.com/2015/amazonfresh-delays-299year-prime-fresh-rollout-for-another-3-months/.Google Scholar
- BROHAN, M. Amazon builds up its european marketplace. Internet Retailer, April 2015. https://www.internetretailer.com/2015/04/30/amazonbuilds-its-european-marketplace.Google Scholar
- CASTILLO, M. Amazon hoax coupled with walmart's price matching leads to ridiculously cheap ps4s. Adweek, November 2014. http://www.adweek.com/news/technology/amazon-hoaxcoupled-walmarts-price-matching-leads-ridiculously-cheapps4s-161527.Google Scholar
- CHAWLA, S., AND NIU, F. The price of anarchy in bertrand games. In Proceedings of the 10th ACM Conference on Electronic Commerce (2009), EC '09. Google ScholarDigital Library
- CHAWLA, S., NIU, F., AND ROUGHGARDEN, T. Bertrand competition in networks.Google Scholar
- CHEN, L., MISLOVE, A., AND WILSON, C. Peeking Beneath the Hood of Uber. In Proceedings of the 15th ACM/USENIX Internet Measurement Conference (IMC'15) (Tokyo, Japan, October 2015). Google ScholarDigital Library
- DENALE, R., LIU, X., AND WEIDENHAMER, D. Quarterly e-commerce retail sales, 2nd quarter 2015. U.S. Census Bureau News, August 2015. https://www.census.gov/retail/mrts/www/data/pdf/ec_current.pdf.Google Scholar
- DURYEE, T. Amazon adds 30 million customers in the past year. Geek Wire, May 2014. http://www.geekwire.com/2014/amazon-adds-30-millioncustomers-past-year/.Google Scholar
- DURYEE, T. Amazon may have up to 80 million high-spending prime members worldwide. GeekWire, September 2015. http://www.geekwire.com/2015/amazon-may-have-up-to-80-million-high-spending-prime-members-worldwide/.Google Scholar
- EDELMAN, B. G., AND LUCA, M. Digital discrimination: The case of airbnb.com. Tech. rep., 2014.Google Scholar
- HANNAK, A., SOELLER, G., LAZER, D., MISLOVE, A., AND WILSON, C. Measuring price discrimination and steering on e-commerce web sites.Google Scholar
- LI, J., OTT, M., AND CARDIE, C. Identifying manipulated offerings on review portals. In In Proceedings of the Conference on Empirical Methods in Natural Language Processing (2015), EMNLP '13.Google Scholar
- LINDNER, M. Global e-commerce set to grow 25% in 2015. Internet Retailer, July 2015. https://www.internetretailer.com/2015/07/29/global-ecommerce-set-grow-25--2015.Google Scholar
- MIKIANS, J., GYARMATI, L., ERRAMILLI, V., AND LAOUTARIS, N. Detecting price and search discrimination on the internet. In Proceedings of the 11th ACM Workshop on Hot Topics in Networks (2012), HotNets-XI. Google ScholarDigital Library
- MIKIANS, J., GYARMATI, L., ERRAMILLI, V., AND LAOUTARIS, N. Crowd-assisted search for price discrimination in e-commerce: First results. In Proceedings of the Ninth ACM Conference on Emerging Networking Experiments and Technologies (2013), CoNEXT '13. Google ScholarDigital Library
- MINKUS, T., AND ROSS, K. W. I know what you're buying: Privacy breaches on ebay. In Privacy Enhancing Technologies (2014), PETS'14.Google Scholar
- MUKHERJEE, A., KUMAR, A., LIU, B., WANG, J., HSU, M., CASTELLANOS, M., AND GHOSH, R. Spotting opinion spammers using behavioral footprints. In Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2013), KDD '13. Google ScholarDigital Library
- NASH, J. The Bargaining Problem. Econometrica 18, 2 (1950), 155--162. Google ScholarCross Ref
- OTT, M., CARDIE, C., AND HANCOCK, J. Estimating the prevalence of deception in online review communities. In Proceedings of the 21st International Conference on World Wide Web (2012), WWW '12. Google ScholarDigital Library
- PREIBUSCH, S., PEETZ, T., GUNES, A., AND BERENDT, B. Purchase details leaked to paypal (short paper). In Financial Cryptography (2015).Google ScholarCross Ref
- RAY, J. D. Amazon is absolutely eviscerating other retailers online, new survey shows. Re/code, October 2015. http://recode.net/2015/10/05/amazon-is-absolutelyeviscerating-other-retailers-online-new-survey-shows/.Google Scholar
- STATISTICS, L. B., AND BREIMAN, L. Random forests. In Machine Learning (2001). Google ScholarDigital Library
- SUTTER, J. D. Amazon seller lists book at $23,698,655.93 -- plus shipping. CNN, April 2011. http://www.cnn.com/2011/ TECH/web/04/25/amazon.price.algorithm/.Google Scholar
- TAFT, D. K. Amazon buy box: The internet's $80 billion sales button. eWeek, October 2014. http://www.eweek.com/enterprise-apps/slideshows/ amazon-buy-box-the-internets-80-billion-sales-button.html.Google Scholar
- XU, H., LIU, D., WANG, H., AND STAVROU, A. E-commerce reputation manipulation: The emergence of reputation-escalation-as-a-service. In Proceedings of the 24th International Conference on World Wide Web (2015), WWW '15. Google ScholarDigital Library
- ZIOBRO, P. Target expands online price-match policy to include amazon, wal-mart. The Wall Street Journal, September 2015. http://www.wsj.com/articles/target-expands-online-pricematch-policy-to-include-amazon-wal-mart-1443636271.Google Scholar
Index Terms
- An Empirical Analysis of Algorithmic Pricing on Amazon Marketplace
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