Dynamic pricing github. Our contributions can be summarized as follows.
- Dynamic pricing github. . Our contributions can be summarized as follows. github. Jun 25, 2021 · In our research, we implemented and compared different approaches of reinforcement learning on dynamic pricing issues, both of them are effective in providing pricing suggestions. See full list on jadhavpritish. io Fair Pricing: Adjusting prices based on market conditions ensures fairness. Revenue Optimization: Maximizing revenue by setting higher prices in high-demand areas. Oct 27, 2022 · This repository provides an implementation of algorithmic support for dynamic pricing based on surrogate ticket demand modeling for a passenger rail company on open data. Dynamic pricing, also known as surge pricing or time-based pricing, allows businesses to optimize their pricing strategy to maximize revenue and improve customer satisfaction. Observed product demands provide side information if they • evolve in a low-rank fashion based on (latent) product features We develop bandit pricing algorithms that exploit this • assumption, whose regret vanishes at a rate that only depends on # of product features instead of # of products Maximizing profits using dynamic pricing is an important problem that has captured the attention of retailers and researchers.