WO2015097544A1 - Computer implemented system and method for placing into relationship buyers and sellers of products or services - Google Patents
Computer implemented system and method for placing into relationship buyers and sellers of products or services Download PDFInfo
- Publication number
- WO2015097544A1 WO2015097544A1 PCT/IB2014/002880 IB2014002880W WO2015097544A1 WO 2015097544 A1 WO2015097544 A1 WO 2015097544A1 IB 2014002880 W IB2014002880 W IB 2014002880W WO 2015097544 A1 WO2015097544 A1 WO 2015097544A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- search engine
- buyer
- services
- computer
- seller
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
Abstract
A computer-implemented system for placing into relationship a buyer and a seller of a product or service comprises a data repository which is a knowledge base including definitions of products or services offered for sale and associated structured data including classification criteria. The computer-implemented system further comprises an internet access by which a potential buyer can formulate a request for product or service he wishes to purchase and by which a seller can formulate offers for a product or service he wishes to sell. The computer-implemented system comprises a multipart analysis engine for transforming a request made in natural language into a set of structured criteria corresponding to structured data. The computer-implemented system comprises a gamification module and a built-in internal communication platform integrated in the computer-implemented system for establishing a real-time communication between a buyer of products or services and a selected seller of products or services.
Description
COMPUTER IMPLEMENTED SYSTEM AND METHOD FOR PLACING INTO RELATIONSHIP BUYERS AND SELLERS OF PRODUCTS OR SERVICES
BACKGROUND OF THE INVENTION FIELD OF THE INVENTION
The present invention generally relates to a computer-implemented system and method for placing into real-time relationship a buyer and a seller of a product or service.
DESCRIPTION OF RELATED ART Systems or methods for placing into relationship a buyer and a seller to collaborate are already known.
US20120029992 discloses a system and method for enabling buyers and sellers to collaborate within their communities of interest and other social networks to determine similar buying interests for group purchasing. They thus can negotiate best group pricing and terms in order to realize optimum deal terms, and close their collective best deal (for those buyers that are willing to commit once deal pricing and terms have been presented) in a manner analogous to how group purchase deals are negotiated in the real world.
US20030004859 discloses a secure, computer based method and system for anonymously and confidentially matching indications of interest from potential groups of buyers and sellers.
The above-mentioned US20120039992 and US20030004859 both have the same goal namely group sales and disclose a system and method for enabling group of buyers and sellers to collaborate within their communities of interest and other social networks to determine similar buying interests, negotiate best group pricing and terms in order to realize optimum deal terms, and close their collective best deal in real-time.
US20130006805 discloses an e-commerce business/system ("System") that facilitates the sale of goods and/or services between Seller(s) and individual consumers that are affiliates / members of a community group ("Organization"). In addition, the System facilitates formation, identification, aggregation and registration of such Organizations, to help its constituent consumers/members realize cost savings through collective buying opportunities and, optionally, have an opportunity to pledge at least a portion of the cost savings realized through such buying as charitable funds to be donated to the Organization. In addition, the System provides to interested sellers a retail platform for specified periods of time to reach and sell to specific group(s) of consumers who constitute Organizations defined by demographics, socio-economic factors, geographical location and known buying preferences. Once again, the disclosed system is oriented for group purchasers.
SUMMARY OF THE INVENTION
The invention aims to provide an easy and secure way to purchase or sell a product or service on the internet, with the possibility to contact instantly the buyer or the seller.
The majority of online consumers start shopping at search systems. But it takes much time to browse through various web-sites before one finally finds the desired product and makes their choice. Alternatively there are web-sites for classified ads but the problem with them is that many of the ads are either outdated or simply fake or give misleading information. As a result the level of trust to the seller is very often low. A more efficient channel for searching for products on the web is offered by shopping aggregators. This is the most convenient way for getting all information in one place. But, once again it will take significant time to examine the information. The computer-implemented system according to the invention offers a solution that greatly simplifies the consumers' dealings in everyday life.
At the same time a large number of merchants are looking for ways to start selling their products and services online in an optimal manner at the optimal price. Building their own online-store and online promotion requires significant investment, not to mention the fees for listing with shopping aggregators and catalogues. The computer-
implemented system according to the invention offers an efficient way for small businesses to build an online sales channel.
The computer-implemented system according to the invention allows online consumers to create requests for the products/services they would like to purchase. This computer-implemented system instantly delivers the requests to all merchants who can supply the requested products or services.
The request should contain geographical location, product category and additional parameters that altogether serve as a filter for targeting the request at the merchants. Once the merchant has received the request they can reply to it and connect directly with the potential buyer using a built-in internal communication platform which allows different ways for user communication: chat, audio calls, video calls. The communication platform's audio and a video-call feature enables both parties to discuss details of a deal.
According to the invention, a computer-implemented system places into relationship a buyer and a seller of a product or service. The computer-implemented system comprises.
- A data repository which is a knowledge base including definitions of products or services offered for sale or purchase and associated structured data including classification criteria; - An internet access by which a potential buyer can formulate a request for product or service he wishes to purchase and by which seller can formulate offers for a product or service he wishes to sell ;
- A multipart analysis engine comprising : o A classification engine for transforming a request made in natural language into a set of structured criteria corresponding to structured data in said data repository; o A real time search engine for providing proposals of products or services to a potential buyer based on matching of a request from the buyer with an
offer from a seller, said real time search engine being operable while the given buyer is connected online by said internet access ; o A continuous search engine working in the background when the given buyer is online or off-line for providing further proposals of product or services to the given buyer ; o An external search engine operable if the real time search engine fails to provide a product or service requested by the given buyer, said external search engine being operable to gather supplementary information from external sources including websites and online shops and to provide proposals for alternative products or services ; o A distributed commerce graph organizing in a graphical relationship the given buyer and the products and or services located by said real-time search engine, continuous search engine and external search engine, said distributed commerce graph providing information for prioritizing the proposals ;
- A gamification module which is a symbiosis of performance marketing tools and engagement marketing in e-commerce market comprising a set of algorithms with game mechanics for user motivation, and
- A built-in internal communication platform or chat module integrated in the computer-implemented system for establishing a real-time communication between a buyer of products or services and a selected seller of products or services for communication by text, audio and / or video-chat.
The computer-implemented system, according to the invention, is based on the principle of antisearch. The antisearch principle is based on the creation of a request by a buyer, according to his need, and a system of continuous event processing selects matching offers and notifies the buyer. Sellers receive buyer's requests and can send messages or personalized offers for targeted buyers. The buyer specifies which product categories he is interested in, and the system begins to build a personal stream of proposals. All requests from the search string are processed in complex event engine. Relations between buyers and sellers are based on graphs
and personal recommendations. Antisearch is a complex technology that allows buyers to talk about their needs, and the system in the background begins to offer the buyer products and communication with sellers. When the buyer is not online, the system continues to deal with the formation of proposals. The system builds relations and operates with tree-based data structures for selections. The system is a graph based stack which connects buyers, products and sellers.
In a preferred embodiment, the computer-implemented system according to invention comprises a customer search engine, composed of said real time search engine and continuous search engine, the customer search engine getting meta-information from said distributed commerce graph for creating a more accurate personal proposal.
The computer-implemented system according to the invention further comprises a continuous search engine adapted to continue searching in place of said real time search engine and external search engine until a correspondence is found and / or until a given time is expired. In a preferred embodiment, the distributed social commerce graph includes a geo- location of the buyer and seller using a geo-location processor, the distributed social commerce graph organizing data according to relevance of the offers.
The computer-implemented system may further comprise inputs for requests from buyers, said inputs being processed by a real-time target commerce engine comprising:
- An aggregator for processing requests of the buyers by identifying simultaneous identical or similar requests and aggregating them to search only once and then distributing individual replies to the buyers;
- A natural language processor for processing said plurality of requests in natural language and normalizing and reformatting data in compliance with an internal protocol to match a structured set of criteria used by the aggregator.
The computer-implemented system according to the invention may further comprise a router that distributes targeted offers from said real time commerce engine.
The computer-implemented system according to the invention can comprise system components for connecting buyers to sellers, namely:
- An on-line buying mechanism which includes a customer search engine, and commerce processing engine, - said external search engine which provides ads searching on classified sites,
- A natural language processing mechanism which comprises a set of algorithms for processing user queries in natural language, and
- A routing rules engine which manages the construction of routes to connect buyers and sellers. In a preferred embodiment, the computer-implemented system according to the invention comprises a data extractor which retrieves data of various external sources such as pictures, video, each external source being processed by a specific worker process.
In one embodiment, all extracted data are transmitted in real time mode to the Aggregator and the Natural Language Processing system which is arranged to classify and cluster the extracted data according to an internal protocol of the distributed commerce graph in which buyers and their interests are presented.
The computer-implemented system according to the invention allows interested users, buyers or sellers, to receive requests from other users, in real time, and establish online communication between the buyer and the seller. To receive requests the user must specify in the computer-implemented system, which product or service he is interested in and must remain connected. The inventive computer- implemented system works on the principle of sending requests to all users who have subscribed to these requests based on their interests, as well as providing feedback on the request and establishing with other users online correspondence, audio or video call connection. The user is able to create a request or subscription for any goods and services provided on a paid as well as free for other users.
Information stored as a request must contain a specific need, which should find subscribers and has the final rubrics in a criteria catalog. A subscription can contain
any nesting level directories in the criteria, thus defining general or specific topics for receiving requests. The request is sent to all concerned subscribers as soon as it is created.
Another aspect of the invention is a computer-implemented method for placing into relationship a buyer and a seller of a product or service, the computer-implemented method comprising:
- Providing a data repository which is a knowledge base including definitions of products or services offered for sale or purchase and associated structured data including classification criteria;
- Formulating via an internet access, by a potential buyer/seller, a request/offer for a product or service the buyer / seller wishes to purchase/sell ;
- Providing a multipart analysis engine comprising : o A classification engine for transforming a request made in natural language into a set of structured criteria corresponding to structured data in said data repository; o A real time search engine for providing proposals of products, services to a potential buyer based on matching of a request from the buyer with an offer from a seller, said real time search engine being operable while the given buyer is connected online by said internet access ; o A continuous search engine working in the background when the given buyer is off-line said internet access for providing further proposals of product or services to the given buyer; o An external search engine operable if the real time search engine fails to provide a product or service requested by the given buyer, said external search engine being operable to gather supplementary information from external sources including websites and online shops; o A distributed commerce graph organizing in a graphical relationship the given buyer and the products and or services located by said real-time
search engine, continuous search engine and external search engine, said distributed commerce graph providing information for prioritizing the proposals ;
- Providing a gamification module comprising a set of algorithms with game mechanics for user motivation, and
- Making available a communication platform integrated in the computer- implemented system for establishing a real-time communication between a buyer of products or services and a selected seller of products or services for communication by text or video-chat. The user creates a request to buy or sell goods or services corresponding to specific needs. The request can contain the brand, model, size, color and price of searched items. The request is delivered only to interested users and who have filled out additional parameters indicating the category to which this request relates, specifying its location, defining desired category, buying / selling / leasing, and optional additional filters.
The request will be sent out to all users who have subscribed to data requests, taking into account interests and regional preferences.
User search queries are processed with algorithms that extract the meaning of the request and identify the object that the user has demanded. Thus the inventive computer-implemented system literally understands what the user wants and gives the most relevant offers, not overloading the user with tons of information.
Advice on goods and services can be given by experts. Their recommendations in real-time help to make the right choice and purchase the right merchandise.
In a preferred embodiment of the method, a business creates a subscription to its service in a complex commerce ecosystem. Consumers create an application for acquiring services and an Expert operates in the segment of services and helps consumers to make decisions, and to set up a complex commerce ecosystem graph for building mechanisms of distribution of services and applications.
The computer-implemented method according to the invention can comprise hybrid events which are processed in the sphere of services and e-commerce and requests enter in Customer Search Engine which defines the context of requests and searches for all corresponding users. A customer search engine transmits contextual search results to a Multiplexer which provides targeted mailing to all found users.
In another aspect of the computer-implemented method according to the invention, the process of request purchase processing inside the system is as follows :
- the buyer creates a query regarding a product or a service he is looking for;
- the routes are extracted and the offers are sent to the sellers if the system has found online target sellers;
- the external search engine is launched automatically to find the requested product or service on the internet if there are no target sellers on-line;
- a connection is established between the buyer and the seller, when a seller is found and when he has accepted the request; and - a deal is made and the payment can be done when the buyer agrees with the seller.
The computer-implemented system and method provide an easy-to-use API, which allows for adding functionality to third-party services and web-sites such as social networks, media web-sites, blogs, online-stores, etc. After integration, any social resource can get an additional channel of monetization using opportunities of the computer-implemented system according to the invention.
BRIEF DESCRIPTION OF THE DRAWINGS
The invention will be more clearly understood, from the following description of a preferred embodiment, which is given by way of example only, with reference to the accompanying schematic drawing, in which:
Fig 1 is a flow diagram that illustrates the functional architecture of the computer implemented system ;
- Fig 2 is a diagram of the service mechanisms ;
- Fig 3 is a flow diagram of an Auto-search service Module ;
- Fig 4 is a flow diagram of an integration server ;
- Fig 5 is a distributed social commerce graph ; - Fig 6 is a diagram that illustrates the steps carried out in targeting and offer from a seller to a buyer ;
- Fig 7 is a diagram that illustrates a simple business process ;
- Fig 8 is a request processing flow diagram ;
- Figs 9 - 11 illustrate a commerce event process ; - Figs 12 -13 illustrate a diagram of the core signal data; and
- Fig 14 illustrates a diagram of a process of data extraction. DETAILED DESCRIPTION
The invention provides a computer-implemented system for placing into relationship a buyer 1 and a seller 2 of a product or service 36. The computer-implemented system comprises a data repository 1 1 which is a knowledge base including definitions of products or services 36 offered for sale or purchase and associated structured data including classification criteria. The computer-implemented system comprises an internet access by which a potential buyer 1 can formulate a request for product or service 36 he wishes to purchase and by which seller 2 can formulate offers for a product or service 36 he wishes to sell. The computer-implemented system further comprises a multipart analysis engine comprising a real time search engine 40, a continuous search engine 32, an external search engine 13 and a distributed commerce graph 6.
The classification engine transforms a request made in natural language into a set of structured criteria corresponding to structured data in said data repository 1 1.
The real time search engine 40 provides proposals of products, services to a potential buyer based on matching of a request from the buyer 1 with an offer from a seller 2, said real time search engine 40 being operable while the given buyer 1 is connected online by said internet access. The continuous search engine 32 works in the background when the given buyer 1 is online or off-line said internet access for providing further proposals of product or services 36 to the given buyer 1.
An external search engine 13 operable if the real time search engine 40 fails to provide a product or service 36 requested by the given buyer 1 , said external search engine being operable to gather supplementary information from external sources including websites and online shops.
The distributed commerce graph 6 organizes in a graphical relationship the given buyer 1 and the products and or services located by said real-time search engine 40, continuous search engine 32 and external search engine 13, said distributed commerce graph providing information for prioritizing the proposals.
The computer-implemented system further comprises a gamification module 12 comprising a set of algorithms with game mechanics for user motivation, and an internal communication platform or chat module 100 integrated in the computer- implemented system for establishing a real-time communication between a buyer 1 of products or services and a selected seller 2 of products or services for communication by text, audio and / or video-chat.
Fig 1 illustrates external services interaction. A seller 2, who can be a private individual or a store owner, creates a subscription inside the computer-implemented system via integration tools module 8. The seller 2 fills out categories to a common type of data in the computer-implemented system via classification engine 7. Once subscriptions 31 are on the HTTP Server 4, the request is sent to core services 5, 6, 9 for processing, namely commerce processing engine 5, distributed commerce graph 6 and routing rules engine 9.
Fig 2 shows an overall display of system components which are implemented in the service, for connecting buyers 1A, 1 B, 1 C to sellers 2A, 2B, 2C, namely :
- An on-line search engine 40 which includes a customer search engine 14 and commerce processing engine 5, that manage all the system components,
- An external search engine 3 which provides ads searching on classifieds sites, - A natural language processing mechanism 15 which is a set of algorithms for processing user queries in natural language,
- A gamification mechanism 12 which is a set of algorithms with game mechanics for users motivation,
- A distributed commerce graph 6 stores data with users and e-commerce entities connections, transactions, goods and influences, the graph 6 thus stores data connections with users interaction history, and
- A routing rules engine 9 which manages the construction of the sets with routes to connect buyers 1 and sellers 2.
As shown in Fig 7, the end user creates a request 70. Entrepreneurs and businesses are able to make suggestions in accordance with the request 70. If a business has a current offer 73, the buyer can accept the offer 74 and proceed with a purchase. If a business does not have a current offer, it is possible to make a popup advertising offer 72. In this case, the end user receives relevant advertising 72 on related products. In the context of the system, advertising turns into a proposal. If needed, the end user can get more information about the requested product or service by chat or video thanks to the built-in internal communication platform or chat module. Publicity tools are context-based and marketing oriented.
As shown in Fig. 4, external Integration module 21 organizes technical processes for obtaining data from external sources 22 (SaaS, CMS, Social/Media). The received data from the external sources 22 is stored in the integration server 21. Integration server 21 in coordination with NLP-server 15, which analyses natural language, translates / reformats data in compliance with the internal protocol. On the basis of the internal protocol, the integration server 21 defines a target-segment corresponding to those data analyzed in the previous stage and through the core API 16 sends this
information to the primary server. The primary server links subscriptions to all targeted categories of external sources 22.
As shown in Fig 12, integration core 33 sends a signal to adapter 35 to retrieve data. Integration core 33 normalizes external data and converts it into internal protocol. Based on an internal protocol, the core server 34 create subscriptions within the system that are returned to the integration core 33.
External semi-structured data are sent to the adapter 35 which transforms them for the internal protocol. As shown in Fig 13, the displayed data are transferred to the normalizer 38 for processing. Integration core 33 normalizes external data to internal protocol. The normalizer 38 defines the essence of the external data. The mapper 24 creates a correspondence between normalized data and goods 36 and categories 37 and sends a signal to the integration core 33 for the formation of the main service tasks. The integration core 33 transfers data to the main service ( i.e. primary server and /or Core server ) to create subscriptions. When a consumer, buyer 1 or seller 2, creates a request 30 it is automatically sent to the search server (Fig 3). Search Server chooses a free contractor, which is a free crawler searching information in a defined context, and provides it with context of the work. The job server 18 integrates the external data through the target crawlers 20 and collects the answers. Another job server function is load distribution between crawlers. All the answers to the inquiry are collected in automatic mode, and transmitted back to the system. The system transforms the found answers in response to applications. The end user receives additional answers (external searches) through the notification server 19 to the inquiry which exist in the network at the current time. The request processing flow wherein the user 1 receives a purchase request is as follows. The first stage is to check if there are no target sellers 2 on-line. If so, an offer 26 (Fig 6) can be sent to the seller 2. Communication processes can be set up between the buyer 1 and the seller 2 through the chat module 100 till the payment of the product or service 36. Otherwise, the computer-implemented system will launch an external search to find the requested product or service 36.
Fig 8 shows a flowchart which describes the process of the request purchase processing inside the system. First, the buyer creates a query 801 regarding a product or a service he is looking for. If the system has found online target sellers 802, then the routes are extracted and the offers are sent to the sellers 803. If there are no target sellers on-line 808, the external search engine is launched automatically to find the requested product or service on the internet. When a seller is found and when he has accepted the request 804, a connection 805 is established between the buyer and the seller. If the buyer agrees with the seller at 806, then they can make a deal and proceed to the payment 807. As explained previously, if the system does not find a seller, then a request is created and the external search engine is launched at 808. When the requested product or service is found at 809 thanks to the external search engine, the buyer must wait for the acceptance of the seller before entering into relationship with him. If the buyer agrees with the author of an ad, then they can make a deal. In cases where no offers were found, a request is sent by the system to continue the search at 810. Continuation search 810 tracks emergence of online targeted sellers.
The computer-implemented system of the invention is based on a distributed social commerce graph which is a Meta-system for storing details of deal, supply and demand. Key features are a cluster of entrepreneurial activities, and expert community. All transactions within the system are stored in a graph-oriented data structure. On the basis of a generated structure conscientious buyers 1 and sellers 2 are selected. On the basis of a commercial graph, the most effective experts K are suggested. The distributed social commerce graph is an advisory mechanism on the basis of commercial relations within the network. Fig 5 illustrates such a complex commerce ecosystem. A business creates a subscription to its service S1. Consumers E, B create an application for acquiring services. Expert K operates in the segment of services S1 and helps consumers E, B to make decisions. Consumer E sells to consumer G. A distributed commercial graph allows to build mechanisms of distribution of services and applications. Fig 6 describes the stages allowing the creation of the relationship between a buyer 1 and a seller 2.
Stage 1 : Inputs
At this stage, sellers 2A, 2B are defining their offer 26 according to the system criteria. For example, sellers 2A, 2B are both proposing offers corresponding to category 1 whereas seller 2, alone, has an offer in category 2 and seller 2B has a service in service S1.
Stage 2: Real time target commerce engine
The aggregator 24 compiles all the requests and passes them to the NLP 15 that will determinate the context of the request 30. In parallel the geo-location module 25 determinates the location of the request 30. Target post-processor 39 then compiles all received contexts and location and formulates events for the router 19.
Stage 3: Output
The router 19 generates targeted offers 26 based on buyer's 1 criteria. For example, buyer 1 D receives two different offers 26, one offer 26C for a product 36 and one offer 26D for a service 36. The same offer 26C corresponds to buyer 1 C who will receive it. Buyer 1 B received a targeted ad 26 B meaning that no specific offer 26 matches his needs. Buyer A receives an offer 26A for a product 36.
Aggregators/mappers 24 give access to large data sets, and the sellers 2A, 2B need to search for valuable and useful information. The computer-implemented system of the invention isolates its users from a lot of unstructured data and make it possible to work only with the target segments and relevant data 26. Natural language processor 15 determines the context of the request. Geo location processor 25 determines the locality of the request. Target post-processor 39 compiles all received contexts and formulates events for Multiplexer/router 19. Multiplexer/router 19 gives users the found answers. Figs 9 - 11 show processing of hybrid events in the sphere of services and e- commerce. Requests A, B, C enter in Customer Search Engine 14. Customer search engine 14 defines the context of requests 30 and searches for all corresponding users. Customer search engine 14 transmits the contextual search results to Multiplexer 27. Multiplexer 27 provides targeted mailing to all found users (buyers 1 ).
Real time target commerce engine (broadcast, unicast) is a real time interaction of the services or goods 36 provider with customers 1.
For example, Fig 9 shows a subscription 31 A which groups offers A and B corresponding to the same criteria ; a subscription 31 B which groups offers A and C corresponding to the same criteria ; and a subscription 31 C which groups offers A, B and C corresponding to the same criteria.
Search requests are managed by Continuation Search Engine 32 which is a non-stop process of finding applications. As shown in Figs 10 - 11 , the event bus 29 processes the endless request and sends the result of queries 30 to the continuation search engine 32. The continuation engine 32 sends the response to multiplexer 27 for distribution. Fig 1 1 illustrates a distribution in an unicast format. In fact, each subscription 31 sends an unique offer to buyer. Fig 10 shows a broadcast format with common responses to all interested buyers. In this configuration, event bus 29 aggregates all the requests 30 and creates common subscriptions. For example, request 30 generates a set of subscriptions 31 for all corresponding buyers. Endless queries 30 identify relevant content. Continuation Search Engine 32 receives responses from the endless requests and sends to Multiplexer 27 responses to distribution.
As shown in Fig 14, the process of data extraction, Data Extractor 100, works with various external sources, such as workers 110 of binary data (pictures, video). The sources are Internet shops, image boards and media social resources. As a result the process of data extraction receives a copy of data in the common format from each its external sources.
All extracted data are transmitted in real time mode to the Aggregator 24 which classifies and clusters the data according to the inside protocol of commercial graph in which users and their interests are presented. After the Aggregator 24 the data are transmitted to the data enrichment module, Content Enricher 150, which provides ratings and social recognition. In this way, each data copy gets an additional meta information interesting for user. Then, all data are transmitted to the common flow with which the broker, Message Broker 160, works and distributes messages to the router 19. The router 19 chooses targeted buyers 1 for which the information will be
interesting and forms his infinite flow of commercial information, each copy of which can be purchased. By his behaviour the buyer influences formation of the data flow and the message router reacts to the buyer's behaviour and changes algorithm of sample of necessary messages. As a result each buyer gets access to the visual representation of his needs maximally personalized in view of buyer behaviour in the real time mode. So the information search and its personnalisation becomes maximally quick and convenient.
From the above description it can be seen that the described system and method of the invention provide an easy and secure way to purchase or sell a product or service on the internet, with the possibility for instantaneous contact between the buyer and the seller.
LEGEND
1- Buyer
2- Seller
3- Client applications
4- Web Servers
5- Commerce processing engine
6- Distributed commerce graph
7- Classification engine
8- Integration tools
9- Routing rules engine
10- Set storage
11 - Data repository
12- Gamification mechanism
13- External search engine
14- Customer search engine
15- Natural language processing mechanism
16- Core API
18- Job server
19- Notification server
20- Target crawler
21 - Integration server
22- External modules (SaaS,... )
23- Category/Service
24- Aggregator (mapper)
25- Geo location processor
26- Targeted offer/ads
27- Multiplexer
28- Data streams (Request)
29- Event Bus
30- Query
31- Subscribe
32- Continuation search engine
33- Integration core
- Core server
- Adapter
- Goods (product / service)- Categories
- Normalizer
- Target Post-Processor- Real-time search engine0- Data extractor
0- Content Enricher0- Message broker
Claims
1. A computer-implemented system for placing into relationship a buyer (1 ) and a seller (2) of a product or service (36), the computer-implemented system comprising:
- A data repository (11 ) which is a knowledge base including definitions of products or services (36) offered for sale or purchase and associated structured data including classification criteria; - An internet access by which a potential buyer (1 ) can formulate a request for a product or service (36) he wishes to purchase and by which seller (2) can formulate offers for a product or service (36) he wishes to sell ;
- A multipart analysis engine comprising : o A classification engine for transforming a request made in natural language into a set of structured criteria corresponding to structured data in said data repository (11 ) ; o A real time search engine (40) for providing proposals of products or services to a potential buyer based on matching of a request from the buyer (1 ) with an offer from a seller (2), said real time search engine (40) being operable while the given buyer (1 ) is connected online by said internet access ; o A continuous search engine (32) working in the background when the given buyer (1 ) is online or off-line said internet access for providing further proposals of product or services (36) to the given buyer (1 ) ; o An external search engine (13) operable if the real time search engine fails to provide a product or service (36) requested by the given buyer (1 ), said external search engine being operable to gather supplementary information from external sources including websites and online shops and to provide proposals for alternative products or services;
o A distributed commerce graph (6) organizing in a graphical relationship the given buyer (1 ) and the products and or services located by said real-time search engine (40), continuous search engine (32) and external search engine (13), said distributed commerce graph (6) providing information for prioritizing the proposals ;
A gamification module (12) comprising a set of algorithms with game mechanics for user motivation, and
A built-in internal communication platform (100) integrated in the computer- implemented system for establishing a real-time communication between a buyer (1 ) of products or services and a selected seller (2) of products or services for communication by text, audio and / or video-chat.
A computer-implemented system according to claim 1 , comprising a customer search engine (14), composed of said real time search engine (40) and continuous search engine (32), the customer search engine (14) getting meta- information from said distributed commerce graph (6) for creating a more accurate personal proposal.
A computer-implemented system according to claim 1 or 2, wherein said continuous search engine (32) is adapted to continue searching in place of said real time search engine and external search engine (13) until a correspondence is found and / or until a given time is expired.
A computer-implemented system according to claim 1 , 2, or 3, wherein said distributed social commerce graph (6) includes a geo-location of the buyer and seller using a geo-location processor (25), the distributed social commerce graph (6) organizing data according to relevance of the offers.
A computer-implemented system according to any preceding claim, wherein inputs (23) for requests from buyers are processed by a real-time target commerce engine (5) comprising:
- An aggregator (24) for processing requests of the buyers (1 ) by identifying simultaneous identical or similar requests and aggregating them to search only once and then distributing individual replies to the buyers (1 ),
- A natural language processor (15) for processing said plurality of requests in natural language and normalizing and reformatting data in compliance with an internal protocol to match a structured set of criteria used by the aggregator (24).
6. A computer-implemented system according to claim 5, further comprising a router (19) that distributes targeted offers (26) from said real time commerce engine (5).
7. A computer-implemented system according to any preceding claim comprising system components for connecting buyers (1 ) to sellers (2), namely :
- An on-line buying mechanism which includes a customer search engine (14), and commerce processing engine (5), - said external search engine (13) which provides ads searching on classified sites,
- A natural language processing mechanism (15) which comprises a set of algorithms for processing user queries in natural language, and
- A routing rules engine (9) which manages the construction of routes to connect buyers (1 ) and sellers (2).
8. A computer-implemented system according to any preceding claim, comprising a data extractor (100) which retrieves data of various external sources such as pictures, video, each external source being processed by a specific worker process (200). 9. A computer-implemented system according to claim 5, 6, 7 or 8, wherein all extracted data are transmitted in real time mode to the Aggregator (24) and to the Natural Language Processing system (15) which is arranged to classify and cluster the extracted data according to an internal protocol of the distributed commerce graph in which buyers (1 ) and their interests are presented.
10. A computer-implemented method for placing into relationship a buyer (1 ) and a seller (2) of a product or service 36, the computer-implemented method comprising: - Providing a data repository which is a knowledge base including definitions of products or services offered for sale or purchase and associated structured data including classification criteria;
- Formulating via an internet access, by a potential buyer/seller, a request offer for a product or service the buyer / seller wishes to purchase/sell ; - Transforming a request made in natural language into a set of structured criteria corresponding to structured data in said data repository (11 ) thanks to a classification engine;
- Providing proposals of products or services to a potential buyer based on matching of a request from the buyer (1 ) with an offer from a seller (2), thanks to a real time search engine (40), said real time search engine (40) being operable while the given buyer (1 ) is connected online by said internet access ;
- Providing further proposals of product or services (36) to the given buyer (1 ) thanks to a continuous search engine (32) working in the background when the given buyer (1 ) is online or off-line said internet access ; - Providing an external search engine (13) operable if the real time search engine fails to provide a product or service (36) requested by the given buyer (1 ), said external search engine being operable to gather supplementary information from external sources including websites and online shops;
- Organizing in a graphical relationship, thanks to a distributed commerce graph (6), the given buyer (1 ) and the products and or services located by said real-time search engine, continuous search engine and external search engine (13), said distributed commerce graph providing information for prioritizing the proposals ;
- Providing a gamification module (12) comprising a set of algorithms with game mechanics for user motivation, and
- Making available a built-in internal communication platform (100) integrated in the computer-implemented system for establishing a real-time communication between a buyer of products or services and a selected seller of products or services for communication by text or video-chat. 11. A computer-implemented method according to claim 10, wherein a business creates a subscription to its service (S1 ) in a complex commerce ecosystem ; consumers (E, B) create an application for acquiring services ; and an Expert (K), a buyer or a seller, operates in the segment of services (S1 ) and helps consumers (E, B) to make decisions, and to set up a complex commerce ecosystem graph for building mechanisms of distribution of services and applications.
12. A computer-implemented method according to claim 10 or 1 1 , wherein hybrid events are processed in the sphere of services and e-commerce and requests (A, B, C) enter in Customer Search Engine (14) which defines the context of requests (30) and searches for all corresponding users, a customer search engine (14) transmitting contextual search results to a Multiplexer (27) which provides targeted mailing to all found users (1 ).
13. A computer-implemented method according to claim 10, 11 or 12, wherein the process of the request purchase processing inside the system is as follows : - the buyer creates a query regarding a product or a service he is looking for;
- the routes are extracted and the offers are sent to the sellers if the system has found online target sellers;
- the external search engine, extracting unstructured data from external sources, is launched automatically to find the requested product or service on the internet if there are no target sellers on-line;
- a connection is established between the buyer and the seller, when a seller is found and when he has accepted the request; a deal is made and the payment can be done when the buyer agrees with the seller.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| BR212015011256U BR212015011256U2 (en) | 2013-12-27 | 2014-12-24 | computer-implemented system for contacting buyers and sellers of products or services. |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CH02156/13A CH709062B1 (en) | 2013-12-27 | 2013-12-27 | A computer-implemented system and method for connecting buyers and sellers of goods or services. |
| CH02156/13 | 2013-12-27 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2015097544A1 true WO2015097544A1 (en) | 2015-07-02 |
Family
ID=53396030
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/IB2014/000186 WO2015097500A1 (en) | 2013-12-27 | 2014-02-19 | Computer implemented system and method for placing into relationship buyers and sellers of products or services |
| PCT/IB2014/002880 WO2015097544A1 (en) | 2013-12-27 | 2014-12-24 | Computer implemented system and method for placing into relationship buyers and sellers of products or services |
Family Applications Before (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/IB2014/000186 WO2015097500A1 (en) | 2013-12-27 | 2014-02-19 | Computer implemented system and method for placing into relationship buyers and sellers of products or services |
Country Status (4)
| Country | Link |
|---|---|
| BR (1) | BR212015011256U2 (en) |
| CH (1) | CH709062B1 (en) |
| FR (1) | FR3016069B3 (en) |
| WO (2) | WO2015097500A1 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9760933B1 (en) * | 2016-11-09 | 2017-09-12 | International Business Machines Corporation | Interactive shopping advisor for refinancing product queries |
| WO2017179050A1 (en) * | 2016-04-10 | 2017-10-19 | Eitan Koren | User interface, system and method for automatic matching of parties to a transaction proposal |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR3062942A1 (en) * | 2017-02-15 | 2018-08-17 | Amadeus S.A.S. | IMPROVED RESEARCH METAMOTOR |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020029186A1 (en) * | 1997-01-22 | 2002-03-07 | Roth David William | Internet advertising system |
| US20030004859A1 (en) * | 1999-05-11 | 2003-01-02 | Shaw John C. | Method and system for facilitating secure transactions |
| US20120005102A1 (en) * | 2010-07-02 | 2012-01-05 | Mcclung Robert Thomas | Method and System for Anonymous Communication Between A Consumer and Provider |
| US20130325608A1 (en) * | 2009-01-21 | 2013-12-05 | Truaxis, Inc. | Systems and methods for offer scoring |
Family Cites Families (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6058379A (en) * | 1997-07-11 | 2000-05-02 | Auction Source, L.L.C. | Real-time network exchange with seller specified exchange parameters and interactive seller participation |
| KR20020026521A (en) * | 1999-07-06 | 2002-04-10 | 다나 비. 던칸 | On-line interactive system and method for transacting business |
| US7596509B1 (en) * | 2000-06-30 | 2009-09-29 | Jeffrey Bryson | Computer system and method for negotiating the purchase and sale of goods or services using virtual sales |
| DE10041336A1 (en) * | 2000-08-23 | 2002-03-14 | Siemens Ag | Communication system and method for operating a communication system |
| US7398248B2 (en) * | 2002-02-08 | 2008-07-08 | Catalina Marketing Corporation | System and method for using cards for sponsored programs |
| US7778882B2 (en) * | 2006-03-03 | 2010-08-17 | Mukesh Chatter | Method, system and apparatus for automatic real-time iterative commercial transactions over the internet in a multiple-buyer, multiple-seller marketplace, optimizing both buyer and seller needs based upon the dynamics of market conditions |
| EP1953696A1 (en) * | 2007-01-30 | 2008-08-06 | Markport Limited | A communications system |
| US8234261B2 (en) * | 2007-07-17 | 2012-07-31 | Ebay Inc. | Digital content hub |
| US8812370B2 (en) * | 2007-08-09 | 2014-08-19 | Wal-Mart Stores, Inc. | System and method of centralized customer information management for enhanced shopping experience |
| US20090240567A1 (en) * | 2008-02-21 | 2009-09-24 | Micronotes, Llc | Interactive marketing system |
| EP2136317B1 (en) * | 2008-06-19 | 2013-09-04 | Samsung Electronics Co., Ltd. | Method and apparatus for recognizing characters |
| US8560678B2 (en) * | 2010-12-22 | 2013-10-15 | Facebook, Inc. | Providing relevant notifications based on common interests between friends in a social networking system |
| WO2013052081A2 (en) * | 2011-10-03 | 2013-04-11 | Motyx Incorporated | System for automating consumer shopping purchase-decision |
| WO2013106708A1 (en) * | 2012-01-11 | 2013-07-18 | Endurance International Group, Inc. | Guided workflows for establishing a web presence |
-
2013
- 2013-12-27 CH CH02156/13A patent/CH709062B1/en not_active IP Right Cessation
-
2014
- 2014-02-19 WO PCT/IB2014/000186 patent/WO2015097500A1/en active Application Filing
- 2014-12-24 WO PCT/IB2014/002880 patent/WO2015097544A1/en active Application Filing
- 2014-12-24 BR BR212015011256U patent/BR212015011256U2/en not_active IP Right Cessation
- 2014-12-29 FR FR1403020A patent/FR3016069B3/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020029186A1 (en) * | 1997-01-22 | 2002-03-07 | Roth David William | Internet advertising system |
| US20030004859A1 (en) * | 1999-05-11 | 2003-01-02 | Shaw John C. | Method and system for facilitating secure transactions |
| US20130325608A1 (en) * | 2009-01-21 | 2013-12-05 | Truaxis, Inc. | Systems and methods for offer scoring |
| US20120005102A1 (en) * | 2010-07-02 | 2012-01-05 | Mcclung Robert Thomas | Method and System for Anonymous Communication Between A Consumer and Provider |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017179050A1 (en) * | 2016-04-10 | 2017-10-19 | Eitan Koren | User interface, system and method for automatic matching of parties to a transaction proposal |
| GB2564350A (en) * | 2016-04-10 | 2019-01-09 | Gollgi Int Ltd | User interface, system and method for automatic matching of parties to a transaction proposal |
| US20190122272A1 (en) * | 2016-04-10 | 2019-04-25 | Gollgi International Ltd. | User interface, system and method for automatic matching of parties to a transaction proposal |
| US9760933B1 (en) * | 2016-11-09 | 2017-09-12 | International Business Machines Corporation | Interactive shopping advisor for refinancing product queries |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2015097500A1 (en) | 2015-07-02 |
| FR3016069A3 (en) | 2015-07-03 |
| CH709062A1 (en) | 2015-06-30 |
| CH709062B1 (en) | 2017-02-28 |
| BR212015011256U2 (en) | 2017-11-28 |
| FR3016069B3 (en) | 2016-04-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Saura et al. | Digital marketing strategies based on the e-business model: Literature review and future directions | |
| US10354312B2 (en) | Electronic marketplace recommendations | |
| US20120036015A1 (en) | Relevancy of advertising material through user-defined preference filters, location and permission information | |
| US9852477B2 (en) | Method and system for social media sales | |
| US8719258B2 (en) | Information sharing in an online community | |
| US20100250463A1 (en) | Information-delivery system and method and applications employing same | |
| KR101231946B1 (en) | The commodity sales and management system that used a coordination system | |
| KR101664377B1 (en) | cooperation system between an enterprise and a famous man and method therefor | |
| WO2009126941A1 (en) | Apparatuses, methods and systems for portable universal profile (hereinafter "pup") | |
| KR20000072731A (en) | P2P(Peer to Peer) intermediation search system for Electronic Commerce and varieties of advertising method using peer client program in Internet. | |
| US8423420B1 (en) | Method and media for duplicate detection in an electronic marketplace | |
| Murray et al. | Interactive consumer decision aids | |
| CN111047391A (en) | Shared farming management platform | |
| KR20140073256A (en) | Apparatus and method for providing merchandise recommending service | |
| WO2015097544A1 (en) | Computer implemented system and method for placing into relationship buyers and sellers of products or services | |
| Asanprakit et al. | Causal factors influencing the use of social commerce platforms | |
| Sadeddin et al. | Online shopping bots for electronic commerce: the comparison of functionality and performance | |
| TW201443805A (en) | Using entity repository to enhance advertisement display | |
| JP2023062128A (en) | System and method for managing online shopping | |
| KR101909835B1 (en) | On-line sales matching service providing system | |
| CN107209897A (en) | User data is handled and analyzes to determine keyword quality | |
| KR20120011763A (en) | Personalized social networking service system and method | |
| US20160189194A1 (en) | Computer implemented system and method for creation of a digital,collaborative review platform, network and publication | |
| Law et al. | The development of artisanal food products e-marketplace with intelligent depletion feature | |
| Satyanarayana et al. | Neighborhood algorithm for product recommendation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| 121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 14873483 Country of ref document: EP Kind code of ref document: A1 |
|
| WWE | Wipo information: entry into national phase |
Ref document number: 2016/00160 Country of ref document: TR |
|
| NENP | Non-entry into the national phase |
Ref country code: DE |
|
| 122 | Ep: pct application non-entry in european phase |
Ref document number: 14873483 Country of ref document: EP Kind code of ref document: A1 |
|
| REG | Reference to national code |
Ref country code: BR Ref legal event code: B01A Ref document number: 212015011256 Country of ref document: BR |
|
| ENP | Entry into the national phase |
Ref document number: 212015011256 Country of ref document: BR Effective date: 20150515 |