Tag
McDonald's is testing dynamic pricing, potentially using AI-driven technology to adjust menu prices in response to demand, marking a notable move by a major restaurant chain into data-driven pricing strategies.
The article critiques how corporations use dynamic pricing and AI algorithms to inflate profits, with examples like Instacart, and discusses Lindsay Owens's book 'Gouged' on the normalization of price-gouging.
Walmart CEO John Furner reassures customers that digital shelf labels will not be used for dynamic pricing based on personal data, time of day, or AI interactions, addressing concerns about surveillance pricing.
Paul Graham responds to Elizabeth Warren's tweet on dynamic pricing, critiquing her statement as oversimplifying the concept and questioning her honesty or intelligence.
The paper develops model-free q-learning algorithms for reinforcement learning in continuous-time jump Markov decision processes, applied to network dynamic pricing, showing superior performance over benchmark methods.
A news article discussing how AI-driven dynamic pricing is reducing the availability of bargain airfares on popular routes, leading to higher overall ticket prices.
A tutorial explaining programmatic advertising and how to model physical advertising using Python, covering entity resolution, audience data, availability, and dynamic pricing.
This paper proposes a fairness-aware pricing framework for retail food products using Autoregressive Distributed Lag (ARDL) models for sales forecasting and optimizes prices with Linear Programming and Simulated Annealing under CPI-based bounds to prevent consumer exploitation.
This paper presents Quota Marketplace, a market-based dynamic pricing mechanism deployed at Google for efficient allocation of ML training accelerators across business units, achieving Pareto efficiency and max-min fairness under heterogeneous workload values.
The paper introduces Human-in-the-Loop Gated Bandit (HITL-GB) for short-term rental dynamic pricing, showing that historical pricing data under a prior policy is structurally equivalent to on-policy warm-up data, reducing cold-start from ~150 to ~30 episodes.