Patent SG-11201811550X-A (SG)
Title: Demand prediction for time-expiring inventory
Inventor: YEE YANGLI
IPC: G06Q50/14
Filed: 2017-07-05
Abstract: INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property :::` , 111111 IOU 0 Hi 010 NIB 110 1 0 1011111 010 11111 001 0111 0011110 1111 OEN Organization International Bureau (10) International Publication Number 03 (43) International Publication Date .....•\"\"- WO 2018/017323 Al 25 January 2018 (25.01.2018) WIP0 I PCT (51) International Patent Classification: Li; c/o Airbnb, Inc., 888 Brannan Street, San Francisco, CA G06Q 10/02 (2012.01) G06Q 50/14 (2012.01) 94103 (US). PELLICANO, Carla; c/o Airbnb, Inc., 888 G06Q 30/02 (2012.01) Brannan Street, San Francisco, CA 94103 (US). YE, Peng; (21) International Application Number: c/o Airbnb, Inc., 888 Brannan Street, San Francisco, CA PCT/U52017/040705 94103 (US). (22) International Filing Date: (74) Agent: WHITEHEAD, Andrew, P. et al.; Fenwick & 05 July 2017 (05.07.2017) West LLP, 801 California Street, Mountain View, CA 94041 (US). (25) Filing Language: English (81) Designated States (unless otherwise indicated, for every (26) Publication Language: English kind of national protection available): AE, AG, AL, AM, (30) Priority Data: AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, 15/213,062 18 July 2016 (18.07.2016) US CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, (71) Applicant: AIRBNB, INC. [US/US]; 888 Brannan Street, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, San Francisco, CA 94103 (US). KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, (72) Inventors: YEE, Yangli, Hector; c/o Airbnb, Inc., 888 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, Brannan Street, San Francisco, CA 94103 (US). ZHANG, (54) Title: DEMAND PREDICTION FOR TIME-EXPIRING INVENTORY = = Monte Carlo Pricing Model 327 Demand Model 320 Manager Option Model 325 = = = = Likelihood of Transaction 1 930 Likelihood of Acceptance 1 990 = = Price 0.- 0 Price Cumulative Likelihood Model = — = = = = Cumulative Likelihood 1 = = 1000 4 0 Price 1010 1020 FIG. 10 11 .4 N (57) : This disclosure includes methods for predicting demand based on the price of a time-expiring inventory. An online en system provides a connection between a manager of a time-expiring inventory and a plurality of clients. The online system provides a N listing for the manager's time-expiring inventory to clients on the online system. The manager specifies the price of the time-expiring Il inventory in the listing and is presented with price tips generated by the online system. A demand function predicts the demand for 0 --.... the time-expiring inventory based on features of the listing and the time-expiring inventory. A manager option function predicts the GClikelihood of acceptance of a price tip by the manager. The online system uses the demand function and the manager option function 1-1 © to create a Monte Carlo pricing model to provide to the manager price tips for the listing. ei C [Continued on next page] WO 2018/017323 Al MIDEDIMOMOIDEIREEMOOMMOIDEll 001 0111 DOMEHOIS SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG). Published: — with international search report (Art. 21(3))