CN112529472A - Artificial intelligent household product order management system - Google Patents
Artificial intelligent household product order management system Download PDFInfo
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- CN112529472A CN112529472A CN202011575353.6A CN202011575353A CN112529472A CN 112529472 A CN112529472 A CN 112529472A CN 202011575353 A CN202011575353 A CN 202011575353A CN 112529472 A CN112529472 A CN 112529472A
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- 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
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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
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
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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]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
Abstract
The invention discloses an artificial intelligent household product order management system which is used for solving the problems that the existing household product order cannot be exchanged and the distribution efficiency is improved by reasonably screening the household product order to the corresponding distribution personnel; the system comprises an order acquisition module, a server, an order management module and an intelligent analysis module; the order management module obtains the preferred matched order by obtaining the order being sent and matching the order with the order of the user, then obtains the adjusting distance by preferably matching the matched order, sequences the preferred matched order from small to large according to the size of the adjusting distance, and then matches the preferred matched order with the corresponding interchange user to interchange the order, so that the order of the household product can be reasonably exchanged conveniently, and the problem that the existing household product order can not be exchanged is avoided; through carrying out the analysis to the delivery value of delivery personnel, the reasonable screening of being convenient for is to corresponding delivery personnel, improves delivery efficiency.
Description
Technical Field
The invention relates to the technical field of household product order management, in particular to an artificial intelligent household product order management system.
Background
With the continuous expansion of the home market, the types and the styles of home products are increased, the order management of the home products is more and more important, however, the current home product order management system cannot effectively manage the order of the home products, and the problems that the order of the home products cannot be exchanged and the corresponding distribution personnel are reasonably screened to improve the distribution efficiency exist.
Disclosure of Invention
The invention aims to provide an artificial intelligent household product order management system for solving the problems that the existing household product order cannot be exchanged and the distribution efficiency is improved by reasonably screening the existing household product order to the corresponding distribution personnel; the order management module obtains the preferred matched order by obtaining the order being sent and matching the order with the order of the user, then obtains the adjusting distance by preferably matching the matched order, sequences the preferred matched order from small to large according to the size of the adjusting distance, and then matches the preferred matched order with the corresponding interchange user to interchange the order, so that the order of the household product can be reasonably exchanged conveniently, and the problem that the existing household product order can not be exchanged is avoided; through carrying out the analysis to the delivery value of delivery personnel, the reasonable screening of being convenient for is to corresponding delivery personnel, improves delivery efficiency.
The purpose of the invention can be realized by the following technical scheme: an artificial intelligent household product order management system comprises an order acquisition module, a server, an order management module and an intelligent analysis module;
the order acquisition module is used for acquiring order information of the household products and sending the order information to the server for storage; the order management module is used for receiving an emergency instruction sent by a user through a mobile phone terminal, analyzing order information and performing order analysis, and the specific allocation steps are as follows:
the method comprises the following steps: acquiring order information, matching the name, model, size and color of the home product in the order information with the home product information of a merchant, and marking the commodity as a primary merchant when the matched home product information of the merchant is the same as the name, model, size and color of the home product in the order information;
step two: calculating the distance difference between the position of the primary selected merchant and the receiving address summarized by the order information to obtain a distribution distance; selecting the primary selected merchant with the minimum distribution distance as a selected merchant;
step three: sending the order information and the position of the selected merchant to an intelligent analysis module;
step four: when the order management module receives an emergency instruction sent by a user through a mobile phone terminal, the user sending the emergency instruction is marked as an emergency user, a user value of the emergency user is obtained through a server, and when the user value of the emergency user is larger than a set threshold value, an order being dispatched is obtained; matching the order information of the emergency user with the delivery order information, and marking the delivery order as a primary selection matched order when the order information is matched with the name, the model, the size and the color of a home product in the delivery order; acquiring the current position of the distribution personnel corresponding to the primary selection matching order; calculating the distance difference between the current position of the distribution personnel and the receiving address in the order information to obtain an adjustment distance;
step five: setting the primary selection matched order with the adjusted distance smaller than the distribution distance as a preferred matched order; sorting the preferred matched orders from small to large according to the size of the adjusting distance;
step six: sending an interchange instruction to the mobile phone number of the corresponding purchasing user in the most sequenced preferred matching order, and marking the preferred matching order as a selected matching order when the corresponding purchasing user in the preferred matching order sends an agreement instruction in a preset time range through a mobile phone terminal; if not, sending an interchange instruction to the mobile phone number corresponding to the purchasing user in the sorted preferred matching order, and repeating the steps, and if the corresponding purchasing user in the sorted preferred matching order does not send an agreement instruction within the preset time range, generating an emergency failure instruction and sending the emergency failure instruction to the mobile phone terminal of the emergency user;
step seven: marking the corresponding purchasing users in the selected matching order as interchange users; meanwhile, the total times of interchange of the interchange users are increased once, and the total times of emergency of the emergency users are increased once; exchanging the name, the mobile phone number and the receiving address of the interchange user with the emergency user to form new order information and sending the new order information to the mobile phone terminal of the interchange user, and sending the replaced selected matched order to the mobile phone terminal of the distribution personnel; executing the first step to the third step by the new order information;
the intelligent analysis module is used for receiving order information and the position of a selected merchant and carrying out distribution analysis; the specific distribution steps are as follows:
s1: acquiring personnel information of distribution personnel, and marking the distribution personnel as Ri, i =1, … … and n; calculating the distance difference between the position of the distribution personnel and the position of the selected merchant to obtain the spacing distance, and marking the spacing distance as GRi；
S2: acquiring the total delivery times of the delivery personnel and marking the total delivery times as ZRi；
S3: using the formula ERi=(1/GRi)×c1+ZRi×c2+FRiObtaining the delivery value E of the delivery personnel by the x c3Ri(ii) a Wherein c1, c2 and c3 are all preset proportionality coefficients; fRi-a distribution efficiency value for personnel;
s4: selecting the distribution person with the largest distribution value as the selected person, sending the order information and the position of the selected merchant to the mobile phone terminal of the selected person by the intelligent analysis module, and receiving the order information and the position of the selected merchant by the selected person through the mobile phone terminal and then distributing.
Preferably, the specific steps of the selected person to distribute in S4 are:
s41: after a selected person reaches the position of a selected merchant, sending a distribution starting instruction to an intelligent analysis module through a mobile phone terminal, generating a confirmed distribution instruction to the mobile phone terminal of the selected merchant after the intelligent analysis module receives the distribution starting instruction, after the selected merchant receives the confirmed distribution instruction, installing a household product on a vehicle of the selected person, sending the installed instruction to the intelligent analysis module through the mobile phone terminal by the selected merchant, starting timing after the intelligent analysis module receives the installed instruction, and marking the timing time as the starting time of the selected person; meanwhile, the order information is marked as the order being sent;
s42: after the selected person conveys the household products to a goods receiving position in the order information, the selected person sends a current position and an arrival instruction to the intelligent analysis module through the mobile phone terminal, the intelligent analysis module matches the current position with the order information position after receiving the current position and the arrival instruction, and stops timing after matching is successful, and the stop time is marked as the arrival time of the selected person;
s43: the method comprises the steps that a selected person sends home products to a home of a corresponding purchasing user in order information and installs the home products, then a delivery completion instruction is sent to an intelligent analysis module through a mobile phone terminal, the intelligent analysis module generates a confirmation completion instruction after receiving the delivery completion instruction and sends the confirmation completion instruction to the mobile phone terminal of the corresponding purchasing user in the order information, after the confirmation completion instruction received by the mobile phone terminal of the corresponding purchasing user in the order information, the purchasing user sends a yes instruction to the intelligent analysis module through the mobile phone terminal, and the intelligent analysis module marks the receiving moment as the delivery completion moment of the selected person after receiving the yes instruction; meanwhile, the total distribution times of the selected personnel is increased by one side;
s44: calculating the time difference between the departure time and the arrival time to obtain the transportation time of the selected person, and calculating the distance difference between the position of the selected merchant and the receiving address in the order information to obtain the transportation distance; dividing the conveying distance by the conveying time length to obtain the single conveying speed of the selected person, and marking the single conveying speed as YS;
s45: calculating the time difference between the distribution completion time and the delivery time to obtain the single assembly time length of the selected personnel, and marking the single assembly time length as FT; the preset assembly standard time corresponding to the household product is TB; when the single assembly time is shorter than the preset assembly standard time corresponding to the household product;
s46: obtaining a single distribution value FA of the selected person by using a formula of FA = YS × c4+ YJ × c5+ (TB-FT) × c 6; and summing all the single distribution values of the selected personnel and averaging to obtain the distribution efficiency value of the selected personnel.
Preferably, the order information includes the name, model, size, color, amount of the household product, the name, mobile phone number and receiving address of the order purchasing user.
Preferably, the system also comprises a registration login module, wherein the registration login module is used for submitting user information and personnel information for registration through the mobile phone terminal by the user and the delivery personnel respectively and sending the user information and the personnel information which are successfully registered to the server for storage; the user information comprises a user name, a mobile phone number and a receiving address; the personnel information comprises the user name and the mobile phone number of the distribution personnel; and the server takes the moment of receiving the user information as the registration time of the user.
Preferably, the system further comprises a user analysis module, wherein the user analysis module is used for analyzing the user value of the user, and the specific analysis is as follows:
SS 1: acquiring the registration time length of the user and the current time of the system and marking the registration time length as M1;
SS 2: acquiring the sum of all orders of the user, summing the sums to obtain the total sum of the user, and marking as M2;
SS 3: acquiring the total number of times of emergency and the total number of times of interchange of the user, wherein the total number of times of emergency and the total number of times of interchange are respectively M3 and M4;
SS 4: obtaining a user value MZ of a user by using a formula MZ = M1 × c7+ M2 × c8+ M4 × c9-M3 × c 10; wherein c7, c8, c9 and c10 are all preset proportionality coefficients, and c10> c8> c9> c 7;
SS 5: and the user analysis module sends the user value to the server for storage.
Preferably, the system further comprises a household product acquisition module, wherein the household product acquisition module is used for product information and merchant information of household products of merchants, and the merchant information comprises names, positions and mobile phone numbers of the merchants; the product information comprises the name, model, size, color, inventory of household products and sales data of the household products; the sales data includes sales times of the household products and corresponding purchasing users.
Compared with the prior art, the invention has the beneficial effects that:
1. the order management module receives an emergency instruction sent by a user through a mobile phone terminal and order information, performs order analysis, acquires a user value of the emergency user through a server, and acquires an order being dispatched when the user value of the emergency user is greater than a set threshold value; matching the order information of the emergency user with the delivery order information, and taking the primary selection matched order with the adjustment distance smaller than the delivery distance as a preferred matched order; sorting the preferred matched orders from small to large according to the size of the adjusting distance; sending an interchange instruction to the mobile phone number of the corresponding purchasing user in the most sequenced preferred matching order, and marking the preferred matching order as a selected matching order when the corresponding purchasing user in the preferred matching order sends an agreement instruction in a preset time range through a mobile phone terminal; the user sends an emergency instruction to the order management module, the order management module obtains a preferred matched order by obtaining the order being sent and matching the order with the order of the user, then the preferred matched order obtains an adjusting distance, the preferred matched order is sequenced from small to large according to the size of the adjusting distance, and then the preferred matched order is matched with a corresponding interchange user for order interchange, so that the order of the household product is conveniently and reasonably exchanged, and the problem that the existing household product order cannot be exchanged is solved;
2. the intelligent analysis module receives order information and the position of a selected merchant and performs distribution analysis; obtaining a distribution value of a distributor by using a formula; the method comprises the steps that the selected person with the largest distribution value is the selected person, the intelligent analysis module sends order information and the position of the selected merchant to a mobile phone terminal of the selected person, the selected person receives the order information and the position of the selected merchant through the mobile phone terminal and then distributes the order information and the position of the selected merchant, the distribution value of the selected person is analyzed, the corresponding distribution person can be conveniently and reasonably screened, and distribution efficiency is improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an artificial intelligence home product order management system includes an order collection module, a server, an order management module, an intelligent analysis module, a home product collection module, a registration and login module, and a user analysis module;
the order acquisition module is used for acquiring order information of the household products and sending the order information to the server for storage; the order information comprises the name, model, size, color and amount of the household product, the name, mobile phone number and receiving address of an order purchasing user; household products include beds, sofas, wardrobes, and dressing tables; the order management module is used for receiving an emergency instruction sent by a user through a mobile phone terminal, analyzing order information and performing order analysis, and the specific allocation steps are as follows:
the method comprises the following steps: acquiring order information, matching the name, model, size and color of the home product in the order information with the home product information of a merchant, and marking the commodity as a primary merchant when the matched home product information of the merchant is the same as the name, model, size and color of the home product in the order information;
step two: calculating the distance difference between the position of the primary selected merchant and the receiving address summarized by the order information to obtain a distribution distance; selecting the primary selected merchant with the minimum distribution distance as a selected merchant;
step three: sending the order information and the position of the selected merchant to an intelligent analysis module;
step four: when the order management module receives an emergency instruction sent by a user through a mobile phone terminal, the user sending the emergency instruction is marked as an emergency user, a user value of the emergency user is obtained through a server, and when the user value of the emergency user is larger than a set threshold value, an order being dispatched is obtained; matching the order information of the emergency user with the delivery order information, and marking the delivery order as a primary selection matched order when the order information is matched with the name, the model, the size and the color of a home product in the delivery order; acquiring the current position of the distribution personnel corresponding to the primary selection matching order; calculating the distance difference between the current position of the distribution personnel and the receiving address in the order information to obtain an adjustment distance;
step five: setting the primary selection matched order with the adjusted distance smaller than the distribution distance as a preferred matched order; sorting the preferred matched orders from small to large according to the size of the adjusting distance;
step six: sending an interchange instruction to the mobile phone number of the corresponding purchasing user in the most sequenced preferred matching order, and marking the preferred matching order as a selected matching order when the corresponding purchasing user in the preferred matching order sends an agreement instruction in a preset time range through a mobile phone terminal; if not, sending an interchange instruction to the mobile phone number corresponding to the purchasing user in the sorted preferred matching order, and repeating the steps, and if the corresponding purchasing user in the sorted preferred matching order does not send an agreement instruction within the preset time range, generating an emergency failure instruction and sending the emergency failure instruction to the mobile phone terminal of the emergency user;
step seven: marking the corresponding purchasing users in the selected matching order as interchange users; meanwhile, the total times of interchange of the interchange users are increased once, and the total times of emergency of the emergency users are increased once; exchanging the name, the mobile phone number and the receiving address of the interchange user with the emergency user to form new order information and sending the new order information to the mobile phone terminal of the interchange user, and sending the replaced selected matched order to the mobile phone terminal of the distribution personnel; executing the first step to the third step by the new order information;
the intelligent analysis module is used for receiving order information and the position of the selected merchant and carrying out distribution analysis; the specific distribution steps are as follows:
s1: acquiring personnel information of distribution personnel, and marking the distribution personnel as Ri, i =1, … … and n; calculating the distance difference between the position of the distribution personnel and the position of the selected merchant to obtain the spacing distance, and marking the spacing distance as GRi；
S2: acquiring the total delivery times of the delivery personnel and marking the total delivery times as ZRi；
S3: using the formula ERi=(1/GRi)×c1+ZRi×c2+FRiObtaining the delivery value E of the delivery personnel by the x c3Ri(ii) a Wherein c1, c2 and c3 are allPresetting a proportionality coefficient; fRi-a distribution efficiency value for personnel;
s4: selecting the distribution person with the largest distribution value as a selected person, sending the order information and the position of the selected merchant to a mobile phone terminal of the selected person by an intelligent analysis module, receiving the order information and the position of the selected merchant by the selected person through the mobile phone terminal, and distributing, wherein the method specifically comprises the following steps:
s41: after a selected person reaches the position of a selected merchant, sending a distribution starting instruction to an intelligent analysis module through a mobile phone terminal, generating a confirmed distribution instruction to the mobile phone terminal of the selected merchant after the intelligent analysis module receives the distribution starting instruction, after the selected merchant receives the confirmed distribution instruction, installing a household product on a vehicle of the selected person, sending the installed instruction to the intelligent analysis module through the mobile phone terminal by the selected merchant, starting timing after the intelligent analysis module receives the installed instruction, and marking the timing time as the starting time of the selected person; meanwhile, the order information is marked as the order being sent;
s42: after the selected person conveys the household products to a goods receiving position in the order information, the selected person sends a current position and an arrival instruction to the intelligent analysis module through the mobile phone terminal, the intelligent analysis module matches the current position with the order information position after receiving the current position and the arrival instruction, and stops timing after matching is successful, and the stop time is marked as the arrival time of the selected person;
s43: the method comprises the steps that a selected person sends home products to a home of a corresponding purchasing user in order information and installs the home products, then a delivery completion instruction is sent to an intelligent analysis module through a mobile phone terminal, the intelligent analysis module generates a confirmation completion instruction after receiving the delivery completion instruction and sends the confirmation completion instruction to the mobile phone terminal of the corresponding purchasing user in the order information, after the confirmation completion instruction received by the mobile phone terminal of the corresponding purchasing user in the order information, the purchasing user sends a yes instruction to the intelligent analysis module through the mobile phone terminal, and the intelligent analysis module marks the receiving moment as the delivery completion moment of the selected person after receiving the yes instruction; meanwhile, the total distribution times of the selected personnel is increased by one side;
s44: calculating the time difference between the departure time and the arrival time to obtain the transportation time of the selected person, and calculating the distance difference between the position of the selected merchant and the receiving address in the order information to obtain the transportation distance; dividing the conveying distance by the conveying time length to obtain the single conveying speed of the selected person, and marking the single conveying speed as YS;
s45: calculating the time difference between the distribution completion time and the delivery time to obtain the single assembly time length of the selected personnel, and marking the single assembly time length as FT; the preset assembly standard time corresponding to the household product is TB; when the single assembly time is shorter than the preset assembly standard time corresponding to the household product;
s46: obtaining a single distribution value FA of the selected person by using a formula of FA = YS × c4+ YJ × c5+ (TB-FT) × c 6; summing all single distribution values of the selected personnel and taking the average value to obtain the distribution efficiency value of the selected personnel;
the registration login module is used for submitting user information and personnel information to register through the mobile phone terminal by a user and a distributor respectively and sending the user information and the personnel information which are successfully registered to the server for storage; the user information comprises a user name, a mobile phone number and a receiving address; the personnel information comprises the user name and the mobile phone number of the distribution personnel; the server takes the moment of receiving the user information as the registration time of the user; the household product acquisition module is used for acquiring product information and merchant information of household products of merchants, wherein the merchant information comprises names, positions and mobile phone numbers of the merchants; the product information comprises the name, model, size, color, inventory of household products and sales data of the household products; the sales data comprises the sales time of the household products and corresponding purchasing users;
the user analysis module is used for analyzing the user value of the user, and the specific analysis is as follows:
SS 1: acquiring the registration time length of the user and the current time of the system and marking the registration time length as M1;
SS 2: acquiring the sum of all orders of the user, summing the sums to obtain the total sum of the user, and marking as M2;
SS 3: acquiring the total number of times of emergency and the total number of times of interchange of the user, wherein the total number of times of emergency and the total number of times of interchange are respectively M3 and M4;
SS 4: obtaining a user value MZ of a user by using a formula MZ = M1 × c7+ M2 × c8+ M4 × c9-M3 × c 10; wherein c7, c8, c9 and c10 are all preset proportionality coefficients, and c10> c8> c9> c 7;
SS 5: the user analysis module sends the user value to a server for storage;
the above formulas are calculated by dequantizing and then substituting the values into the formulas.
When the mobile phone order management system is used, the order management module receives an emergency instruction sent by a user through a mobile phone terminal, analyzes an order to obtain order information, matches the name, model, size and color of a home product in the order information with the home product information of a merchant, and marks the merchant as a primary merchant when the matched home product information of the merchant is the same as the home product in the order information; calculating the distance difference between the position of the primary selected merchant and the receiving address summarized by the order information to obtain a distribution distance; selecting the primary selected merchant with the minimum distribution distance as a selected merchant, and sending order information and the position of the selected merchant to an intelligent analysis module; when the order management module receives an emergency instruction sent by a user through a mobile phone terminal, the user sending the emergency instruction is marked as an emergency user, a user value of the emergency user is obtained through a server, and when the user value of the emergency user is larger than a set threshold value, an order being dispatched is obtained; matching the order information of the emergency user with the delivery order information, and marking the delivery order as a primary selection matched order when the order information is matched with the name, the model, the size and the color of a home product in the delivery order; acquiring the current position of the distribution personnel corresponding to the primary selection matching order; calculating the distance difference between the current position of the distribution personnel and the receiving address in the order information to obtain an adjustment distance; setting the primary selection matched order with the adjusted distance smaller than the distribution distance as a preferred matched order; sorting the preferred matched orders from small to large according to the size of the adjusting distance; sending and interchanging mobile phone numbers of corresponding purchasing users in the most-sorted preferred matching orderWhen the corresponding purchasing user in the preferred matching order sends an agreement instruction within a preset time range through a mobile phone terminal, marking the preferred matching order as a selected matching order; the user sends an emergency instruction to the order management module, the order management module obtains a preferred matched order by obtaining the order being sent and matching the order with the order of the user, then the preferred matched order obtains an adjusting distance, the preferred matched order is sequenced from small to large according to the size of the adjusting distance, and then the preferred matched order is matched with a corresponding interchange user for order interchange, so that the order of the household product is conveniently and reasonably exchanged, and the problem that the existing household product order cannot be exchanged is solved; the intelligent analysis module receives order information and the position of a selected merchant and carries out distribution analysis; using the formula ERi=(1/GRi)×c1+ZRi×c2+FRiObtaining the delivery value E of the delivery personnel by the x c3Ri(ii) a The method comprises the steps that the selected person with the largest distribution value is the selected person, the intelligent analysis module sends order information and the position of the selected merchant to a mobile phone terminal of the selected person, the selected person receives the order information and the position of the selected merchant through the mobile phone terminal and then distributes the order information and the position of the selected merchant, the distribution value of the selected person is analyzed, the corresponding distribution person can be conveniently and reasonably screened, and distribution efficiency is improved.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. An artificial intelligent household product order management system is characterized by comprising an order acquisition module, a server, an order management module and an intelligent analysis module;
the order acquisition module is used for acquiring order information of the household products and sending the order information to the server for storage; the order management module is used for receiving an emergency instruction sent by a user through a mobile phone terminal, analyzing order information and performing order analysis, and the specific allocation steps are as follows:
the method comprises the following steps: acquiring order information, matching the name, model, size and color of the home product in the order information with the home product information of a merchant, and marking the commodity as a primary merchant when the matched home product information of the merchant is the same as the name, model, size and color of the home product in the order information;
step two: calculating the distance difference between the position of the primary selected merchant and the receiving address summarized by the order information to obtain a distribution distance; selecting the primary selected merchant with the minimum distribution distance as a selected merchant;
step three: sending the order information and the position of the selected merchant to an intelligent analysis module;
step four: when the order management module receives an emergency instruction sent by a user through a mobile phone terminal, the user sending the emergency instruction is marked as an emergency user, a user value of the emergency user is obtained through a server, and when the user value of the emergency user is larger than a set threshold value, an order being dispatched is obtained; matching the order information of the emergency user with the delivery order information, and marking the delivery order as a primary selection matched order when the order information is matched with the name, the model, the size and the color of a home product in the delivery order; acquiring the current position of the distribution personnel corresponding to the primary selection matching order; calculating the distance difference between the current position of the distribution personnel and the receiving address in the order information to obtain an adjustment distance;
step five: setting the primary selection matched order with the adjusted distance smaller than the distribution distance as a preferred matched order; sorting the preferred matched orders from small to large according to the size of the adjusting distance;
step six: sending an interchange instruction to the mobile phone number of the corresponding purchasing user in the most sequenced preferred matching order, and marking the preferred matching order as a selected matching order when the corresponding purchasing user in the preferred matching order sends an agreement instruction in a preset time range through a mobile phone terminal; if not, sending an interchange instruction to the mobile phone number corresponding to the purchasing user in the sorted preferred matching order, and repeating the steps, and if the corresponding purchasing user in the sorted preferred matching order does not send an agreement instruction within the preset time range, generating an emergency failure instruction and sending the emergency failure instruction to the mobile phone terminal of the emergency user;
step seven: marking the corresponding purchasing users in the selected matching order as interchange users; meanwhile, the total times of interchange of the interchange users are increased once, and the total times of emergency of the emergency users are increased once; exchanging the name, the mobile phone number and the receiving address of the interchange user with the emergency user to form new order information and sending the new order information to the mobile phone terminal of the interchange user, and sending the replaced selected matched order to the mobile phone terminal of the distribution personnel; executing the first step to the third step by the new order information;
the intelligent analysis module is used for receiving order information and the position of a selected merchant and carrying out distribution analysis; the specific distribution steps are as follows:
s1: acquiring personnel information of distribution personnel, and marking the distribution personnel as Ri, i =1, … … and n; calculating the distance difference between the position of the distribution personnel and the position of the selected merchant to obtain the spacing distance, and marking the spacing distance as GRi；
S2: acquiring the total delivery times of the delivery personnel and marking the total delivery times as ZRi；
S3: using the formula ERi=(1/GRi)×c1+ZRi×c2+FRiObtaining the delivery value E of the delivery personnel by the x c3Ri(ii) a Wherein c1, c2 and c3 are all preset proportionality coefficients; fRi-a distribution efficiency value for personnel;
s4: selecting the distribution person with the largest distribution value as the selected person, sending the order information and the position of the selected merchant to the mobile phone terminal of the selected person by the intelligent analysis module, and receiving the order information and the position of the selected merchant by the selected person through the mobile phone terminal and then distributing.
2. The artificial intelligence home product order management system according to claim 1, wherein the specific steps of the selected person to distribute in S4 are:
s41: after a selected person reaches the position of a selected merchant, sending a distribution starting instruction to an intelligent analysis module through a mobile phone terminal, generating a confirmed distribution instruction to the mobile phone terminal of the selected merchant after the intelligent analysis module receives the distribution starting instruction, after the selected merchant receives the confirmed distribution instruction, installing a household product on a vehicle of the selected person, sending the installed instruction to the intelligent analysis module through the mobile phone terminal by the selected merchant, starting timing after the intelligent analysis module receives the installed instruction, and marking the timing time as the starting time of the selected person; meanwhile, the order information is marked as the order being sent;
s42: after the selected person conveys the household products to a goods receiving position in the order information, the selected person sends a current position and an arrival instruction to the intelligent analysis module through the mobile phone terminal, the intelligent analysis module matches the current position with the order information position after receiving the current position and the arrival instruction, and stops timing after matching is successful, and the stop time is marked as the arrival time of the selected person;
s43: the method comprises the steps that a selected person sends home products to a home of a corresponding purchasing user in order information and installs the home products, then a delivery completion instruction is sent to an intelligent analysis module through a mobile phone terminal, the intelligent analysis module generates a confirmation completion instruction after receiving the delivery completion instruction and sends the confirmation completion instruction to the mobile phone terminal of the corresponding purchasing user in the order information, after the confirmation completion instruction received by the mobile phone terminal of the corresponding purchasing user in the order information, the purchasing user sends a yes instruction to the intelligent analysis module through the mobile phone terminal, and the intelligent analysis module marks the receiving moment as the delivery completion moment of the selected person after receiving the yes instruction; meanwhile, the total distribution times of the selected personnel is increased by one side;
s44: calculating the time difference between the departure time and the arrival time to obtain the transportation time of the selected person, and calculating the distance difference between the position of the selected merchant and the receiving address in the order information to obtain the transportation distance; dividing the conveying distance by the conveying time length to obtain the single conveying speed of the selected person, and marking the single conveying speed as YS;
s45: calculating the time difference between the distribution completion time and the delivery time to obtain the single assembly time length of the selected personnel, and marking the single assembly time length as FT; the preset assembly standard time corresponding to the household product is TB; when the single assembly time is shorter than the preset assembly standard time corresponding to the household product;
s46: obtaining a single distribution value FA of the selected person by using a formula of FA = YS × c4+ YJ × c5+ (TB-FT) × c 6; and summing all the single distribution values of the selected personnel and averaging to obtain the distribution efficiency value of the selected personnel.
3. An artificial intelligence home product order management system as claimed in claim 1, wherein the order information includes a name, model, size, color, amount of home product, name, cell phone number and shipping address of the order purchasing user.
4. The artificial intelligent home product order management system according to claim 1, further comprising a registration login module, wherein the registration login module is used for submitting user information and personnel information for registration through mobile phone terminals by users and distribution personnel respectively and sending the user information and the personnel information which are successfully registered to a server for storage; the user information comprises a user name, a mobile phone number and a receiving address; the personnel information comprises the user name and the mobile phone number of the distribution personnel; and the server takes the moment of receiving the user information as the registration time of the user.
5. The artificial intelligence home product order management system according to claim 1, further comprising a user analysis module, wherein the user analysis module is configured to perform user value analysis on a user, and the specific analysis is as follows:
SS 1: acquiring the registration time length of the user and the current time of the system and marking the registration time length as M1;
SS 2: acquiring the sum of all orders of the user, summing the sums to obtain the total sum of the user, and marking as M2;
SS 3: acquiring the total number of times of emergency and the total number of times of interchange of the user, wherein the total number of times of emergency and the total number of times of interchange are respectively M3 and M4;
SS 4: obtaining a user value MZ of a user by using a formula MZ = M1 × c7+ M2 × c8+ M4 × c9-M3 × c 10; wherein c7, c8, c9 and c10 are all preset proportionality coefficients, and c10> c8> c9> c 7;
SS 5: and the user analysis module sends the user value to the server for storage.
6. The artificial intelligence home product order management system according to claim 1, further comprising a home product acquisition module, the home product acquisition module being used for product information of home products of merchants and merchant information, the merchant information including names, locations and mobile phone numbers of the merchants; the product information comprises the name, model, size, color, inventory of household products and sales data of the household products; the sales data includes sales times of the household products and corresponding purchasing users.
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| CN202011575353.6A CN112529472A (en) | 2020-12-28 | 2020-12-28 | Artificial intelligent household product order management system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114037386A (en) * | 2021-11-15 | 2022-02-11 | 郑州市中心医院 | Infection prevention and control is with urgent reply system based on artificial intelligence |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114037386A (en) * | 2021-11-15 | 2022-02-11 | 郑州市中心医院 | Infection prevention and control is with urgent reply system based on artificial intelligence |
| CN114037386B (en) * | 2021-11-15 | 2022-06-14 | 郑州市中心医院 | Infection prevention and control is with promptly coping system based on artificial intelligence |
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