CN110490689B - Method and system for selecting consumer channel behavior path under new retail - Google Patents
Method and system for selecting consumer channel behavior path under new retail Download PDFInfo
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- CN110490689B CN110490689B CN201910635819.8A CN201910635819A CN110490689B CN 110490689 B CN110490689 B CN 110490689B CN 201910635819 A CN201910635819 A CN 201910635819A CN 110490689 B CN110490689 B CN 110490689B
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- 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
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- 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]
- G06Q30/0631—Item recommendations
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- 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]
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Abstract
The invention relates to the technical field of computer application, in particular to a method and a system for selecting a consumer channel behavior path under new retail, wherein the method comprises the following steps: if a commodity search message triggered by a consumer is obtained, commodity information data and a consumer identifier are obtained from the commodity search message, wherein the commodity information data comprises a commodity name and a commodity type; acquiring consumer geographical position data from the commodity searching message, and acquiring market information within a preset range from the consumer position data; if the corresponding off-line commodity information can be inquired from the market information by using the commodity type and the commodity name, marking the market information as the market information to be recommended; and acquiring commodity price data of offline commodity information and market route data from the to-be-recommended market information, and sending the commodity price data and the market route data to the consumer client. The invention has the effect of providing a plurality of consumption channels for the consumers when purchasing commodities.
Description
Technical Field
The invention relates to the technical field of computer application, in particular to a method and a system for selecting a consumer channel behavior path under new retail sales.
Background
At present, with the development of life of people, the shopping channels of consumers are more abundant, and the shopping mode is gradually shifted to online shopping from the original offline shopping. With the continuous development of online shopping, online shopping has become an indispensable shopping mode for people to consume at ordinary times.
In the existing online shopping mode, after a consumer selects and pays commodities required to be purchased in an online store on the internet, the online store sends the commodities purchased by the consumer to the consumer through logistics mails after receiving a payment. Although the logistics industry has been developed rapidly, it still takes a certain time to post the goods to the consumers through logistics, and if the consumers have an urgent need for a certain online purchased goods, the time consumed by logistics causes some inconvenience to the consumers, so there is room for improvement.
Disclosure of Invention
The invention aims to provide a method and a system for selecting a consumer channel behavior path under new retail, which can provide a plurality of consumption channels for consumers to purchase commodities and enrich consumer fire fighting channel choices.
The above object of the present invention is achieved by the following technical solutions:
a consumer channel behavior path selection method under new retail comprises the following steps:
s10: if a commodity search message triggered by a consumer is acquired, acquiring commodity information data and a consumer identifier from the commodity search message, wherein the commodity information data comprises a commodity name and a commodity type;
s20: acquiring consumer geographical position data from the commodity searching message, and acquiring market information within a preset range from the consumer position data;
s30: if the corresponding off-line commodity information can be inquired from the market information by using the commodity type and the commodity name, marking the market information as the market information to be recommended;
s40: and acquiring commodity price data and market route data of the offline commodity information from the recommended market information, and sending the commodity price data and the market route data to a consumer client.
By adopting the technical scheme, when a consumer purchases on line and the commodity search message is triggered, after the commodity message is acquired from the commodity search message, the market information of a market which is a certain distance away from the consumer geographic position data of the consumer is acquired, the market which sells the commodity which the consumer wants to purchase in the market is taken as the information of the market to be recommended, the off-line commodity price and the market route data of the commodity which the consumer wants to purchase in the information of the market to be recommended are sent to the consumer client, the consumer can acquire whether the commodity which needs to be purchased in the nearby places when purchasing on line, and various consumption channels can be provided for the consumer at the same time, so that when the consumer needs the commodity which needs to be purchased in an urgent manner, whether the commodity exists in the nearby markets for purchasing in the nearby places or not can be acquired in time, further, an off-line purchase channel is provided for the consumer, and the consumer can purchase the urgently needed commodity.
The invention is further configured to: step S20 includes:
s21: acquiring current position information and receiving position information of the consumer according to the consumer identification;
s22: and forming a position selection request by using the current position information of the consumer and the receiving position information of the consumer, and taking the position selection result as the geographic position data of the consumer if the position selection result is obtained.
By adopting the technical scheme, the current position information of the consumer and the receiving position information of the consumer can be obtained, so that the consumer can select the geographical position according with the actual condition of the consumer, and then the commodities near the geographical position can be obtained, and the result obtained by the subsequent data is closer to the consumer.
The invention is further configured to: step S30 includes:
s31: acquiring offline commodity types from the market information, performing matching query in the offline commodity types of the market information one by using the commodity types, and matching the market information with the queried result to the market information;
s32: and performing matching query in the offline commodity types in the market information to be matched by using the commodity name, and taking the market information to be matched which can be matched with the queried result as the market information to be recommended.
By adopting the technical scheme, the to-be-matched market information containing the commodity type is matched by using the commodity type, and then the to-be-recommended market information for selling specific commodities is matched in the to-be-matched market information by using the commodity name, so that the to-be-recommended market information can be gradually screened out in a secondary screening mode, and the screening efficiency is improved.
The invention is further configured to: step S40 includes:
s41: acquiring market position information from the recommended market information;
s42: and generating the market route data according to the consumer position data and the market position information.
By adopting the technical scheme, the position data of the consumer and the position information of the user on the scene are adopted, and then the market route data are generated, so that the consumer can select the optimal route to purchase when shopping is carried out in the market under the selection line, and the efficiency of purchasing the urgent-need commodity by the consumer can be further improved.
The invention is further configured to: after step S40, the retail customer channel behavior routing method further includes:
s50: acquiring price information of the online commodities from the commodity searching message;
s60: acquiring commodity arrival time data according to the commodity searching message;
s70: and sending the commodity price information and the commodity arrival time data to the consumer client.
By adopting the technical scheme, the arrival time of the commodities purchased on the same commodity line and the commodity price information of the online market are sent to the customer client, so that when the customer selects a proper consumption behavior, the selection is carried out by combining the market route data of offline shopping, and then when the customer selects a purchase channel, the selection of the customer is enriched.
The second purpose of the invention is realized by the following technical scheme:
a consumer channel behavior routing system under new retail, the consumer channel behavior routing system under new retail comprising:
the system comprises a message acquisition module, a commodity search module and a commodity searching module, wherein the message acquisition module is used for acquiring commodity information data and a consumer identifier from a commodity search message if the commodity search message triggered by a consumer is acquired, and the commodity information data comprises a commodity name and a commodity type;
the market information acquisition module is used for acquiring consumer geographical position data from the commodity search message and acquiring market information within a preset range from the consumer position data;
the marking module is used for marking the market information as the market information to be recommended if the corresponding offline commodity information can be inquired from the market information by using the commodity type and the commodity name;
and the first data sending module is used for acquiring the commodity price data of the offline commodity information and the market route data from the to-be-recommended market information, and sending the commodity price data and the market route data to the consumer client.
By adopting the technical scheme, when a consumer purchases on line and triggers the commodity search message, after the commodity message is acquired from the commodity search message, market information of a market which is a certain distance away from the consumer geographical position data of the consumer is acquired, the market which sells the commodity that the consumer wants to purchase in the market is taken as the information of the market to be recommended, and the off-line commodity price and the market route data of the commodity that the consumer wants to purchase in the information of the market to be recommended are sent to the consumer client.
In conclusion, the beneficial technical effects of the invention are as follows:
the method comprises the steps of shopping online by a consumer, triggering a commodity search message, obtaining market information of a market which is a certain distance away from geographical position data of the consumer after obtaining the commodity message from the commodity search message, taking the market which is provided with a commodity which the consumer wants to buy in the market as information of the market to be recommended, sending price of the commodity which the consumer wants to buy and market route data of the market to a consumer client side in the information of the market to be recommended, obtaining whether the commodity which the consumer wants to buy exists nearby when the consumer purchases online, and providing multiple consuming channels for the consumer at the same time.
Drawings
FIG. 1 is a flow chart of a method for routing consumer channel behavior at new retail sales in accordance with an embodiment of the present invention;
FIG. 2 is a flowchart illustrating an implementation of step S20 in a method for selecting a path of a consumer channel behavior under new retail sales according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating the implementation of step S30 in the method for selecting a path of a consumer channel behavior under new retail sales according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating an implementation of step S40 in the method for selecting a path of a consumer channel behavior under new retail sales according to an embodiment of the present invention;
FIG. 5 is another flow chart of a method for selecting a path of behavior of a consumer channel at a new retail sale in accordance with an embodiment of the present invention;
FIG. 6 is a functional block diagram of a consumer channel behavior routing system for new retail sales under an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
The first embodiment is as follows:
in one embodiment, as shown in fig. 1, the invention discloses a consumer channel behavior path selection method under new retail, which specifically includes the following steps:
s10: and if a commodity search message triggered by a consumer is acquired, acquiring commodity information data and a consumer identifier from the commodity search message, wherein the commodity information data comprises a commodity name and a commodity type.
In this embodiment, the commodity search message refers to a message that a consumer searches for a certain commodity on the internet through an online shopping platform and selects to purchase the commodity. The product information data is data in which basic information of a product that a consumer needs to purchase is recorded. Consumer identification refers to a character or string of characters that is used to distinguish each consumer.
Specifically, when a consumer needs to purchase a certain commodity on the internet, and the commodity search message is triggered, the commodity name of the commodity that the consumer needs to purchase and the commodity type to which the commodity belongs are obtained from the commodity search message. For example, the product name of a product that a consumer needs to purchase is called "bowl", and the type of the product is "tableware".
Further, the commodity name and the commodity type are combined into the commodity information data.
S20: and acquiring consumer geographical position data from the commodity searching message, and acquiring market information within a preset range from the consumer position data.
In this embodiment, the consumer geographical location data refers to the location information of the product that the consumer actually uses to purchase.
Specifically, consumer geographic location data is obtained from the merchandise search message. The acquisition mode can be that when the consumer triggers the commodity search message, the position of the consumer is acquired through the positioning function of the mobile terminal of the consumer, and the position is used as the geographic position data of the consumer; in another practical solution, the address of the delivery of the consumer may be obtained in the goods search message, and the address of the delivery is used as the consumer geographic location data.
Furthermore, a preset range is set as a radius, for example, 500 meters, 800 meters or one kilometer, the geographic position data of the consumer is used as a circle center as a search range, and the market information is acquired within the range.
S30: if the corresponding offline commodity information can be inquired from the market information by using the commodity type and the commodity name, the market information is marked to be used as the market information to be recommended.
In this embodiment, the to-be-recommended market information refers to market information that needs to be pushed to the consumer for the consumer to select.
Specifically, in the mall information obtained in step S20, a matching query is performed using the commodity type and the commodity name in a database in which information on commodities sold in the mall is recorded in each mall information.
Further, if there is a product that can be queried from the store information and is the same as or similar to the product information data in the product search message, that is, the product type and product name of the product information data can be used to query a corresponding result from the store information, the store information is marked by using a corresponding mark, and then after the query is completed in all the store information obtained in step S20, the marked store information is used as the store information to be recommended.
S40: and acquiring commodity price data of offline commodity information and market route data from the to-be-recommended market information, and sending the commodity price data and the market route data to the consumer client.
In this embodiment, the offline commodity information refers to information of a commodity that is sold in the information of the mall to be recommended and is the same as or similar to the commodity information data. The commodity price data refers to price information of commodities corresponding to the off-line commodity information sold in corresponding to-be-recommended markets. The shopping mall route data refers to information of a route from the position of the consumer geographic position data to the position of the shopping mall information to be recommended.
Specifically, the offline commodity information includes the name of the commodity and the selling price, the position information of the to-be-recommended market information corresponding to each offline commodity information is acquired, and the market route data can be generated by embedding a third-party navigation system, such as a gold map, a Baidu map or a Google map.
Further, after the offline commodity price information and the market route data of each piece of to-be-recommended market information are obtained, the offline commodity price information and the market route data are sent to the customer client.
In this embodiment, when a consumer purchases online and triggers the commodity search message, after the commodity message is acquired from the commodity search message, market information of a market which is a certain distance away from the consumer geographical location data of the consumer is acquired, a market which sells a commodity which the consumer wants to purchase in the market is taken as information of the market to be recommended, and offline commodity price and market route data of the commodity which the consumer wants to purchase are sent to the consumer client in the information of the market to be recommended, so that the consumer can acquire whether a commodity which needs to be purchased exists nearby during online shopping, and can simultaneously provide multiple consumption channels for the consumer, thereby timely acquiring whether the commodity which needs to be purchased exists nearby markets is sold by the consumer when the consumer urgently needs the commodity to be purchased, further providing an offline purchase channel for the consumer, and enabling the consumer to purchase the urgently needed commodity in time.
In an embodiment, as shown in fig. 2, in step S20, that is, obtaining consumer geographic location data from the article search message, and obtaining market information within a preset range from the consumer location data specifically includes the following steps:
s21: and acquiring the current position information of the consumer and the receiving position information of the consumer according to the consumer identification.
In this embodiment, the current location information of the consumer refers to the location information where the consumer triggers the commodity search message. The customer receiving position information is information on a position where the customer needs to use the commodity.
Specifically, after a consumer triggers the commodity search message through a mobile terminal, the current position information of the consumer is obtained through a positioning system of the mobile terminal of the consumer; according to the consumer identification of the consumer, a receiving address pre-stored by the consumer is obtained, and the receiving address is used as the receiving position information of the consumer.
S22: and forming a position selection request by using the current position information of the consumer and the receiving position information of the consumer, and taking the position selection result as the geographical position data of the consumer if the position selection result is obtained.
In this embodiment, the location selection result refers to a result of the consumer selecting between the current location information of the consumer and the receiving location information of the consumer.
Specifically, after a position selection request is formed by the current position information of the consumer and the receiving position information of the consumer, the position selection request is sent to the consumer client side for selection of the consumer. And if the position selection result is obtained, namely the consumer selects the current position information and the receiving position information of the consumer, the position selection result is used as the geographical position data of the consumer.
In an embodiment, as shown in fig. 3, in step S30, if the corresponding offline merchandise information can be queried from the shopping mall information by using the merchandise category and the merchandise name, the method marks the shopping mall information as the shopping mall information to be recommended specifically includes the following steps:
s31: and acquiring the offline commodity types from the market information, performing matching query on the offline commodity types of the market information one by using the commodity types, and taking the market information which can be matched with the query result as the market information to be matched.
In the present embodiment, the offline commodity type refers to information on the type of a commodity sold in a store. The market information to be matched refers to the information of the market needing further screening.
Specifically, after all offline commodity types are obtained from the information of the commodities sold in the market recorded in the store information, matching query is performed on the offline commodity types in the commodity information obtained in step S20 one by using the commodity information in the commodity search message, the matching query is successful, and the uploaded information of the obtained corresponding result is used as the store information to be matched.
The matching query may be performed by preselecting a similarity threshold, for example, 0.82, 0.9, or 0.95, and further, calculating the similarity between the offline item type and the item type by using a cosine similarity algorithm, and if the similarity reaches the similarity threshold, it indicates that the matching query is successful.
S32: and matching and inquiring the offline commodity types in the to-be-matched market information by using the commodity names, and taking the to-be-matched market information which can be matched and inquired as the to-be-recommended market information.
Specifically, the matching query in step S31 is performed by using the commodity name in the offline commodity type in the market information to be matched, and the market information to be matched, which can match the query result, is used as the market information to be recommended.
Preferably, if the image data of the product can be acquired in the product search message and the image data of the offline product can be acquired in the market information, the similarity between the image data of the product and the image data of the offline product can be calculated in an image recognition manner, and the information of the market to which the offline product belongs, the similarity of which meets the similarity threshold, is used as the information of the waiting person to recommend the market information.
In an embodiment, as shown in fig. 4, in step S40, that is, obtaining the product price data of the offline product information and the mall route data from the mall information to be recommended, and sending the product price data and the mall route data to the consumer client, the method specifically includes the following steps:
s41: and acquiring the position information of the shopping mall from the information of the shopping mall to be recommended.
In this embodiment, the mall location information refers to information of an address of a mall to be recommended.
Specifically, the market position information of the market to be recommended is obtained from the information of the market to be recommended. The obtaining mode may be obtaining through a third-party navigation system.
S42: and generating market route data according to the consumer position data and the market position information.
Specifically, according to the consumer position data and the market position information, the third-party navigation system takes the consumer position data as a starting point and the market position information as an end point, and then market route data is generated.
In one embodiment, as shown in fig. 5, after step S40, the retail customer channel behavior routing method further comprises the steps of:
s50: and obtaining the price information of the online commodities from the commodity searching message.
In the present embodiment, the online item price information refers to the price of an item purchased by a consumer in a shopping website or APP through a mobile terminal.
Specifically, from the item search message, item price information of the item that the consumer wishes to purchase on the shopping website or APP is acquired.
S60: and acquiring commodity arrival time data according to the commodity searching message.
In this embodiment, the time data of the arrival of the commodity refers to the time when the commodity is sent from the seller to the receiving position information of the consumer through the logistics mail after the consumer purchases the commodity on line and pays the corresponding amount.
Specifically, by acquiring the current time and the receiving position information of the consumer, the time required for receiving the commodity at the address in the receiving position information of the consumer after the consumer purchases the commodity from the online at the current time is simulated.
The simulation method may be to calculate the time from the delivery location to the customer's delivery location information set by the customer using the corresponding physical distribution according to the delivery location of the storefront on which the product is online and the physical distribution (for example, cis-rich express, zhong-tong express, or sheng-tong express) used by the storefront, and use the time as the product arrival time data.
S70: and sending the commodity price information and the commodity arrival time data to the customer client.
Specifically, commodity price information and commodity arrival time data are sent to the customer client.
Understandably, by the above-mentioned solution of the present embodiment, when the consumer triggers the product search message based on the desire to purchase a certain product, the following information can be obtained on the consumer client:
(1) The time required to receive the goods from the on-line purchase;
(2) Whether a physical store in the vicinity under the cable has the goods sold;
(3) If the nearby physical store sells the commodity, the specific position of the store and a route for the store are determined;
(4) The price of the item in the physical store.
The consumer can select a proper consumption channel (online purchasing or online going to an offline store) based on the information and the actual demand degree for the commodity, so that the selection of the consumer during consumption is enriched, the consumer can be better served, and the use experience of the consumer is also improved.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
The second embodiment:
in an embodiment, a new retail consumer channel behavior path selection system is provided, and the new retail consumer channel behavior path selection system corresponds to the new retail consumer channel behavior path selection method in the embodiment one to one. As shown in fig. 6, the consumer channel behavior routing system at new retail sales includes a message acquisition module 10, a market information acquisition module 20, a marking module 30, and a first data transmission module 40. The detailed description of each functional module is as follows:
the message obtaining module 10 is configured to obtain, if a commodity search message triggered by a consumer is obtained, commodity information data and a consumer identifier from the commodity search message, where the commodity information data includes a commodity name and a commodity type;
the market information acquisition module 20 is configured to acquire consumer geographical location data from the commodity search message, and acquire market information within a preset range from the consumer location data;
the marking module 30 is configured to mark the market information as the information of the market to be recommended if the corresponding offline commodity information can be queried from the market information by using the commodity type and the commodity name;
the first data sending module 40 is configured to obtain the commodity price data of the offline commodity information and the market route data from the to-be-recommended market information, and send the commodity price data and the market route data to the consumer client.
Preferably, the mall information acquiring module 20 includes:
the position selection submodule 21 is used for acquiring the current position information of the consumer and the receiving position information of the consumer according to the consumer identification;
and the market information acquisition submodule 22 is configured to form a location selection request by using the current location information of the consumer and the receiving location information of the consumer, and if a location selection result is obtained, use the location selection result as the geographic location data of the consumer.
Preferably, the marking module 30 comprises:
the first matching sub-module 31 is configured to obtain offline commodity types from the market information, perform matching query on the offline commodity types of the market information one by one using the commodity types, and use the market information capable of matching the query result as the market information to be matched;
and the second matching sub-module 32 is configured to perform matching query on the offline commodity types in the to-be-matched store information by using the commodity names, and use the to-be-matched store information capable of matching the query result as the to-be-recommended store information.
Preferably, the first data transmission module 40 includes:
the position obtaining submodule 41 is configured to obtain market position information from the market information to be recommended;
and the route generating submodule 42 is used for generating market route data according to the consumer position data and the market position information.
Preferably, the consumer channel behavior routing system under new retail:
a price information acquiring module 50 for acquiring price information of the online commodity from the commodity search message;
the time acquisition module 60 is used for acquiring the commodity arrival time data according to the commodity search message;
and a second data sending module 70, configured to send the commodity price information and the commodity arrival time data to the customer client.
For specific limitations of the consumer channel behavior path selection system under the new retail condition, reference may be made to the above limitations of the consumer channel behavior path selection method under the new retail condition, and details thereof are not repeated herein. The modules in the consumer channel behavior routing system for new retail sales can be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
Claims (6)
1. A consumer channel behavior path selection method under new retail is characterized by comprising the following steps:
s10: if a commodity search message triggered by a consumer is acquired, acquiring commodity information data and a consumer identifier from the commodity search message, wherein the commodity information data comprises a commodity name and a commodity type, and the commodity search message is a message for searching a certain commodity on the internet and selecting to purchase by the consumer through an online shopping platform;
s20: acquiring consumer geographical position data from the commodity searching message, wherein the consumer geographical position data comprises the current position of a consumer and/or a receiving address of the consumer, and acquiring market information within a preset range from the consumer position data;
s30: if the corresponding offline commodity information can be queried from the market information by using the commodity type and the commodity name, marking the market information as the market information to be recommended, wherein the step S30 includes:
s31: acquiring offline commodity types from the market information, performing matching query in the offline commodity types of the market information one by using the commodity types, taking the market information which can be matched with the query result as the market information to be matched, preselecting and setting a similarity threshold value, calculating the similarity between the offline commodity types and the commodity types by adopting a cosine similarity algorithm, and if the similarity which can be matched reaches the similarity threshold value, indicating that the matching query is successful;
s32: matching and inquiring the offline commodity types in the to-be-matched market information by using the commodity names, and taking the to-be-matched market information which can be matched and inquired as the to-be-recommended market information;
s40: acquiring commodity price data and market route data of the offline commodity information from the to-be-recommended market information, and sending the commodity price data and the market route data to a consumer client;
s50: acquiring price information of the online commodities from the commodity searching message;
s60: according to the commodity searching message, calculating commodity arrival time data in a simulation mode according to the delivery place of the storefront on the online commodity and the logistics used by the storefront;
s70: and sending the commodity price information and the commodity arrival time data to the consumer client.
2. The method of selecting a path of consumer channel behavior at new retail as recited in claim 1, wherein the step S20 includes:
s21: acquiring current position information of the consumer and receiving position information of the consumer according to the consumer identification;
s22: and forming a position selection request by using the current position information of the consumer and the receiving position information of the consumer, and taking the position selection result as the geographic position data of the consumer if the position selection result is obtained.
3. The method of selecting a path of consumer channel behavior at new retail as recited in claim 1, wherein the step S40 includes:
s41: acquiring market position information from the to-be-recommended market information;
s42: and generating the market route data according to the consumer position data and the market position information.
4. A consumer channel behavior routing system under new retail, the consumer channel behavior routing system under new retail comprising:
the system comprises a message acquisition module, a commodity search module and a message sending module, wherein the message acquisition module is used for acquiring commodity information data and a consumer identifier from a commodity search message if the commodity search message triggered by a consumer is acquired, the commodity information data comprises a commodity name and a commodity type, and the commodity search message refers to a message which is obtained by the consumer through searching a certain commodity on the internet through an internet shopping platform and selecting to purchase;
the market information acquisition module is used for acquiring consumer geographical position data from the commodity search message, wherein the consumer geographical position data comprise the current position of a consumer and/or the receiving address of the consumer, and market information within a preset range is acquired from the consumer position data;
a marking module, configured to mark the market information as the market information to be recommended if the market information can be queried according to the market information by using the category and the name of the commodity, where the marking module includes:
the first matching sub-module is used for acquiring offline commodity types from the market information, performing matching query in the offline commodity types of the market information one by using the commodity types, preselecting and setting a similarity threshold value by using the market information with which a result can be matched and queried as market information to be matched, calculating the similarity between the offline commodity types and the commodity types by adopting a cosine similarity algorithm, and if the similarity reaches the similarity threshold value by matching, indicating that the matching query is successful;
the second matching sub-module is used for performing matching query in the offline commodity types in the to-be-matched market information by using the commodity names, and taking the to-be-matched market information which can match the queried result as the to-be-recommended market information;
the first data sending module is used for obtaining the commodity price data of the offline commodity information and the market route data from the to-be-recommended market information, and sending the commodity price data and the market route data to the consumer client;
the price information acquisition module is used for acquiring online commodity price information from the commodity search message;
the time acquisition module is used for calculating the commodity arrival time data according to the commodity search message and the delivery location of the storefront on the commodity on line and the logistics used by the storefront in a simulation mode;
and the second data sending module is used for sending the commodity price information and the commodity arrival time data to the consumer client.
5. The system of claim 4, wherein the marketplace information acquisition module comprises:
the position selection submodule is used for acquiring the current position information of the consumer and the receiving position information of the consumer according to the consumer identification;
and the market information acquisition sub-module is used for forming a position selection request by the current position information of the consumer and the receiving position information of the consumer, and if a position selection result is acquired, the position selection result is used as the geographical position data of the consumer.
6. The system of claim 4, wherein the first data transmission module comprises:
the position acquisition sub-module is used for acquiring market position information from the to-be-recommended market information;
and the route generating submodule is used for generating the market route data according to the consumer position data and the market position information.
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