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Demand prediction for time-expiring inventory

An inventory and time technology, applied in the field of machine learning models and data analysis, which can solve problems such as difficult inventory pricing

Inactive Publication Date: 2018-01-12
AIRBNB
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The combination of these factors makes it difficult for managers of time-expiring inventory to price their inventory optimally

Method used

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  • Demand prediction for time-expiring inventory
  • Demand prediction for time-expiring inventory
  • Demand prediction for time-expiring inventory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] I. System overview

[0020] figure 1 is a block diagram of a computing environment including an online system for providing time-expiring inventory for purchases, leases, leases, reservations, etc., according to one embodiment. Network 109 represents a communication path between one party to a transaction (herein referred to as customer 102A) and the other party to a transaction (herein referred to as administrator 102B).

[0021] For purposes of explanation, a customer includes a potential purchaser of value, tenant, lessee, customer holding an appointment, or any other party offering consideration in exchange for access to time-expiring inventory in any form. For purposes of explanation, stewards include sellers of items in time-expiring inventory, owners, and those who act on behalf of owners, lessors, manage reserved inventory (such as conductors or restaurant or hotel reservations staff), or receive in exchange for offering Any other party with regard to access ...

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PUM

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Abstract

This disclosure includes methods for predicting demand based on the price of a time-expiring inventory. An online system provides a connection between a manager of a time-expiring inventory and a plurality of clients. The online system provides a listing for the manager's time-expiring inventory to clients on the online system. The manager specifies the price of the time-expiring inventory in thelisting. A demand function predicts the demand for the time-expiring inventory based on features of the listing and the time-expiring inventory. The online system determines a likelihood of receivinga request for (the time-expiring inventory from a client on the online system based on the predicted demand. The online system may use the determined likelihoods to provide to the manager informationabout how changes in the price of the listing are likely to affect the demand for the time-expiring inventory.

Description

[0001] Cross References to Related Applications [0002] This application claims U.S. Provisional Application No. 62 / 085,049, filed November 26, 2014, U.S. Provisional Application No. 62 / 112,567, filed February 5, 2015, and U.S. Provisional Application No., filed May 26, 2015 62 / 166,440, the entire contents of which are incorporated herein by reference. technical field [0003] The present application relates generally to the use of machine learning models and data analysis in the context of time-expired inventory, and more particularly to assigning training labels to machine learning sample data related to time-expired inventory. Background technique [0004] In a typical transaction for a good or service, an administrator who controls or owns the good sets the price for the good and waits for interested parties to agree to pay the proposed price. Often, administrators fail to price items correctly, but because of incomplete information in the market and other economic fa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q10/02G06Q10/06G06Q30/02
CPCG06Q10/02G06Q10/04G06Q10/063G06Q30/0206G06Q30/0202G06Q10/06312
Inventor B·伊夫拉克D·M·霍尔兹Y·H·叶张力
Owner AIRBNB