Marrying Pricing and Advertising with LLMs
The study proposes an online actor-critic algorithm to jointly optimize sequential pricing and advertisement generation for maximum revenue under unknown product demand. It combines a pre-trained LLM adapted via LoRA for ads (actor) with a demand model (critic) fitted to data. This method significantly improves expected revenue compared to fixed policies.