公开(公告)号：US20230376861A1

公开(公告)日：2023-11-23

申请号：US17746282

申请日：2022-05-17

Applicant: Oracle International Corporation

Inventor： Andrew VAKHUTINSKY ,  Jorge Luis Rivero PEREZ ,  Kirby BOSCH ,  Jason G BRYANT ,  Natalia KOSILOVA

IPC: G06Q10/02 ,  G06Q30/06 ,  G06Q50/12

CPC classification number: G06Q10/02 ,  G06Q30/0631 ,  G06Q50/12

Abstract: Embodiments upsell a hotel room selection by providing a first plurality of hotel room choices, each first plurality of hotel room choices comprising a first type of hotel room and a corresponding first price. Embodiments receive a first selection of one of the first plurality of hotel room choices. In response to the first selection, embodiments provide a second plurality of hotel room choices, the second plurality of hotel room choices comprising a subset of the first types of hotel room choices and a corresponding optimized price that is different from the respective corresponding first price.

公开(公告)号：US20220138783A1

公开(公告)日：2022-05-05

申请号：US17083905

申请日：2020-10-29

Applicant: Oracle International Corporation

Inventor： Andrew VAKHUTINSKY ,  Natalia KOSILOVA

IPC: G06Q30/02 ,  G06Q50/12 ,  G06Q10/06 ,  G06Q10/04 ,  G06Q10/02 ,  G06N5/02 ,  G07C9/00

Abstract: Embodiments model the demand and pricing for hotel rooms. Embodiments receive historical data regarding a plurality of previous guests and generate a multinomial logit (“MNL”) model with demand shock variables, the demand shock variables expressed using MNL utility parameters. Embodiments estimate the MNL utility parameters using a likelihood maximization and determine demand shock parameters using the estimating the MNL utility parameters. Embodiments then predict a future demand of the hotel rooms based on the demand shock parameters.