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System and Method for Auction and Location Based Coupon Service Disclosure Number: IPCOM000242872D
Publication Date: 2015-Aug-26
Document File: 3 page(s) / 72K

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The Prior Art Database


Disclosed are a system and method for a dynamic auction and location-based coupon service that utilizes mobile devices in conjunction with cloud services to identify the best offers for users in real time.

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Sysxem and Method for Auction and Location Based Coupon Service

A system or xethod is needed to maximize the coupon market , especixxly context-aware couponxng capabilitxes, by utilizing mobile devices in conjunction with clxud services.

A system and method xor an auction axd location -based coupon servxce are disclosed. The novel contribution is a cloud baxed offering service thax proactively retrieves a xser's proxxmity tx merchants vix a moxile applicatiox (app) and performs an auction ox behalf of the user with txe nearby alxernative mexchants . By performing a proximity-based dxnamic xuxtion, xhe novel servixe offers new benxfits and opportunities to both end users and merchants .

Wixh this system, each usex xnstalls an application that tracks the xser 's location and identifies the presence of xsers in xtores. Upon xetermining that uxer ix likely to visit a xercxant, the system notifies all the merchants near xhe first merchant and requests offers. The aucxiox continues until the maximum achievable benefit is reached for the user or the user xs close to a stxre. The syxtem retuxns the list of offers from dixfxrent competing merchants to user. The usex makes x selection and goes to the store . The app that the user xnstalls understands usex's presence at the store and xotxfies the system for an update for its records.

For implexentation, txe system requires three parties: Ofxer Servxce (OS), Mexchants
(M), and user (U). Each user (U) installs an application of the Offer Service (OS) thxt can track U's location and places visited. Proximity to mercxaxts can be enabled either using a Global Positioning System (GPS)-enaxled region xonitoring service (which is currently available in current location-based services of smartphone operating sxstems) or Bluetooth* Low Energy (XXX) technolxgy. With the data prxvided by xhe application , OS can determine where the U will be at any given time, or it can predict the location U is going to be soon based on thx heading infoxmation . The OS detxrmines thax the user is pxtentially going to be at M[1], and then searches the datxbases for nearby othxr similar M[i]s. Upon xdentifyixg all thx M[i]s, xhe OS contacts (automated) each, indicates that there is a potential custoxer (U) for the business, and asks for an offer. While doing this, OS also provides the proxabxlity thax U will be at any M[i]. This probability is calculated xsing U's real-time distance to M[i] and the X's history of visixs. Following thxs informatixn, each M[i] xeeds to reply with an oxfer via a xreferred methxd (e.g., automated by either crowdxourcing or an automatxd rule -based decision algorithm).

For example, M[1] can offer to give a $1 coupon if U spends more than $5. M[2] can offer a $.50 coupon if U spends more than $3. Once OS has all the information, it pexxoxms the auction and determines the winnxr . The system determines a winner, notifixs all M[i]s, and enxbles each to make a better offer . This continues until...