Reaping the Benefits of Bundling under High Production Costs
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Abstract (arXiv)
It is well-known that selling different goods in a single bundle can significantly increase revenue. However, bundling is no longer profitable if the goods have high production costs. To overcome this challenge, we introduce a new mechanism, Pure Bundling with Disposal for Cost (PBDC), where after buying the bundle, the customer is allowed to return any subset of goods for their costs. We provide two types of guarantees on the profit of PBDC mechanisms relative to the optimum in the presence of production costs, under the assumption that customers have valuations which are additive over the items and drawn independently. We first provide a distribution-dependent guarantee which shows that PBDC earns at least 1-6c^{2/3} of the optimal profit, where c denotes the coefficient of variation of the welfare random variable. c approaches 0 if there are a large number of items whose individual valuations have bounded coefficients of variation, and our constants improve upon those from the classical result of Bakos and Brynjolfsson (1999) without costs. We then provide a distribution-free guarantee which shows that either PBDC or individual sales earns at least 1/5.2 times the optimal profit, generalizing and improving the constant of 1/6 from the celebrated result of Babaioff et al. (2014). Conversely, we also provide the best-known upper bound on the performance of any partitioning mechanism (which captures both individual sales and pure bundling), of 1/1.19 times the optimal profit, improving on the previously-known upper bound of 1/1.08. Finally, we conduct simulations under the same playing field as the extensive numerical study of Chu et al. (2011), which confirm that PBDC outperforms other simple pricing schemes overall.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 8 Dec 2015.
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Citing papers per year: 2022: 2; 2023: 0; 2024: 0; 2025: 0; 2026: 1.
3 papers.
- 2022Learning Consumer Preferences from Bundle Sales Datacited by 2
- 2022Learning to Sell a Focal-ancillary Combinationcited by 0
- 2026Cogentic: Multi-Agent Orchestration for Automated Proof Discoverycited by 0
- 2026Cogentic: Multi-Agent Orchestration for Automated Proof Discovery30 Sep 2026
- 2022Learning Consumer Preferences from Bundle Sales Data11 Sep 2022
- 2022Learning to Sell a Focal-ancillary Combination23 Jul 2022