CN115049330A - Grid push order intelligent distribution method and related product - Google Patents

Abstract

The invention relates to the technical field of order distribution, and discloses a grid push order intelligent distribution method and a related product, wherein the system comprises the following steps: the push order receiving module, the automatic order dispatching intelligent analysis module and the push order distribution module are used for carrying out intelligent analysis on push orders, automatically dispatching orders in real time and carrying out real-time monitoring management on the data of the orders for performing the contract of the stores and the data of the inventory of goods. The online electronic commerce orders of a plurality of platforms are gathered, various online intelligent networks, store warehouses, self-built stores and other high-quality stores and dealers are integrated, the stores are taken as the warehouses, order routes are built, orders are intelligently distributed, the terminals are opened to execute application, the whole area is covered completely, the logistics distribution time from the platforms to the stores to the terminal consumers is saved, the orders are more accurately and intelligently distributed, and the optimal performance experience of the consumers is guaranteed.

Description

Grid push order intelligent distribution method and related product

Technical Field

The invention relates to the technical field of order distribution, in particular to a grid push order intelligent distribution method and a related product.

Background

The existing C-end platform order adopts express logistics distribution, however, due to the fact that the business is complex, the scenes are many, the systems are mutually independent, the data are not communicated, the internal self-contained fulfillment distribution mode cannot be applied to all scenes, and the cost and the distribution timeliness cannot be effectively balanced. The card making order and exchange order pushing cycle is too long and low in efficiency, business cannot check the management store fulfillment order and commodity data, multidimensional store fulfillment order data and personnel data information among various regions cannot be accurately summarized, commission fulfillment reward money cannot be uniformly distributed through channels, and issued commission fulfillment reward money cannot be counted and managed.

Disclosure of Invention

The invention aims to solve the technical problems that in the prior art, due to the fact that order data of each platform are scattered and data are repeated and redundant and are not unified, the order information, the inventory information and the store information cannot be accurately summarized and counted, and therefore efficiency and accuracy are low.

The invention mainly realizes the aim through the following technical scheme:

in a first aspect, a grid push order intelligent distribution method includes the following steps:

step one, receiving a multi-platform push order to carry out automatic intelligent analysis of the order dispatching;

step two, checking whether the push order state meets the order dispatching condition;

step three, if the pushed order state meets the order dispatching condition, screening out first store data meeting the ith-level condition for temporary storage by comparing detailed addresses of the pushed orders, wherein i is i +1, i belongs to {0,1,2,3.. n }, n is a positive integer, and n is a series of levels with the detailed addresses of the pushed orders graded from a small area to a large area;

step four, converting the detailed address of the pushed order into the high-grade longitude and latitude, carrying out second comparison on the high-grade longitude and latitude and the medium-grade latitude in the first store data grid, and circularly returning to the step three until second store data meeting the conditions are screened out;

step five, judging whether the state of a second store is started or not, and if not, turning to the step three;

step six, if the state of the second store is enabled, checking whether the second store is authenticated, and if not, turning to the step three;

step seven, if the second store is authenticated, checking whether the inventory quantity corresponding to the second store meets the quantity of the commodities purchased by the push order or not, and if not, turning to the step three;

and step eight, if the inventory quantity corresponding to the second store meets the quantity of the commodities purchased by the push order, distributing the push order to the second store.

In a second aspect, a grid push order intelligent distribution system is applied to implement the above grid push order intelligent distribution method, and specifically includes: the push order receiving module, the automatic order dispatching intelligent analysis module and the push order distribution module are arranged on the push order receiving module;

the push order receiving module receives the push orders of the multiple platforms and sends the push orders to the automatic order dispatching intelligent analysis module so as to carry out automatic order dispatching intelligent analysis;

the automatic order-dispatching intelligent analysis module carries out automatic order-dispatching intelligent analysis aiming at the received push orders, and specifically comprises: the system comprises a push order state checking unit, a first store screening unit, a second store state judging unit, a second store authentication unit and a second store inventory checking unit; the push order state checking unit checks whether the push order state meets the order dispatching condition; if the push order state meets the order dispatching condition, the first store screening unit screens out the first store data meeting the ith-level condition for temporary storage by comparing the detailed address of the push order, wherein i is i +1, i belongs to {0,1,2,3.. n }, n is a positive integer, and n is the number of levels of the order grading from the small area to the large area of the detailed address of the push order; the second store screening unit converts the detailed address of the push order into the longitude and latitude of the high latitude, compares the detailed address with the longitude and latitude in the first store data grid for the second time, and circularly returns to the first store screening unit until the second store data meeting the conditions are screened out; the second store state judging unit judges whether the state of the second store is started or not, and if not, the second store is transferred to the first store screening unit; if the second store is in the starting state, the second store authentication unit verifies whether the second store is authenticated, and if not, the second store is switched to the first store screening unit; if the second store is authenticated, the second store inventory checking unit checks whether the inventory quantity corresponding to the second store meets the quantity of the commodities purchased by the push order, and if not, the second store is transferred to the first store screening unit;

and if the inventory quantity corresponding to the second store meets the quantity of the commodities purchased by the push order, the push order distribution module distributes the push order to the second store.

In a third aspect, a computer readable storage medium stores a computer program which, when executed by a processor, implements some or all of the steps of a method for intelligent allocation of grid push orders.

Compared with the prior art, the online electronic commerce order distribution method has the advantages that the electronic commerce orders of a plurality of platforms on line are converged, various intelligent networks, store warehouses, self-built stores and other high-quality stores and dealers are integrated, the stores are used as the warehouses, order routes are built, orders are intelligently distributed, the terminals are opened to execute application, the whole area is covered completely, the logistics distribution time from the platforms to the stores to the terminal consumers is saved, the orders are more accurately and intelligently distributed, and the optimal performance experience of the consumers is guaranteed.

Drawings

Fig. 1 is a schematic structural diagram of an intelligent distribution system for grid push orders according to an embodiment of the present invention;

fig. 2 is a schematic flow chart of an intelligent allocation method for grid push orders according to an embodiment of the present invention.

Detailed Description

In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious 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 obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, shall fall within the protection scope of the present invention.

Example one

As shown in fig. 1, an embodiment of the present invention discloses a grid-based push order intelligent distribution system, including:

the system comprises a push order receiving module, an automatic order dispatching intelligent analysis module and a push order distribution module.

The push order receiving module receives the push orders of the multiple platforms and sends the push orders to the automatic order dispatching intelligent analysis module so as to carry out automatic order dispatching intelligent analysis; such as a skatecat tower, wang shop flux, compass, silver leopard, jingdong, cloud store, famous club, etc.

The automatic order-dispatching intelligent analysis module carries out automatic order-dispatching intelligent analysis aiming at the received push orders, and specifically comprises: the system comprises a push order state checking unit, a first store screening unit, a second store state judging unit, a second store authentication unit and a second store inventory checking unit; the push order state checking unit checks whether the push order state meets the order dispatching condition; if the push order state meets the order dispatching condition, the first store screening unit screens out the first store data meeting the ith-level condition for temporary storage by comparing the detailed address of the push order, wherein i is i +1, i belongs to {0,1,2,3.. n }, n is a positive integer, and n is the number of levels of the order grading from the small area to the large area of the detailed address of the push order; the second store screening unit converts the detailed address of the push order into the longitude and latitude of the high latitude, compares the detailed address with the longitude and latitude in the first store data grid for the second time, and circularly returns to the first store screening unit until the second store data meeting the conditions are screened out; the second store state judging unit judges whether the state of the second store is started or not, and if not, the second store is transferred to the first store screening unit; if the second store is started, the second store authentication unit verifies whether the second store is authenticated, and if not, the second store is switched to the first store screening unit; if the second store is authenticated, the second store inventory checking unit checks whether the inventory quantity corresponding to the second store meets the quantity of the commodities purchased by the push order, and if not, the second store is transferred to the first store screening unit;

and if the inventory quantity corresponding to the second store meets the quantity of the commodities purchased by the push order, the push order distribution module distributes the push order to the second store.

The detailed addresses of the push orders are ranked in order from the small area to the large area, and for example, stores in the district level range are set as first-level stores, stores in the city level range are set as second-level stores, and stores in the provincial level range are set as third-level stores; alternatively, the store in the community/cell range in the order address may be set as a first-level store, the store in the district range may be set as a second-level store, the store in the city range may be set as a third-level store, and the store in the provincial range may be set as a fourth-level store.

Then, for example, the first stage conditions are: all stores in the area level range conforming to the order address are screened out by comparing the detailed address of the pushed order and are used as first store data for temporary storage; or screening all stores in the community/cell range which are in line with the address of the push order by comparing the detailed address of the push order, and temporarily storing the stores as first store data.

It can be understood that, besides the above-mentioned classification example, the present invention may further include other classification rules and classification level numbers, where the store levels in the small area range to the large area range are set step by step, and the store level in the small area range is greater than the store level in the large area range.

Therefore, if the store data meeting the first-level condition is not matched, namely the store data is not matched in the range of the first-level store, the store matching in the range of the next-level store is continued, the value i is increased progressively, the value n is traversed until the first store data meeting the i-level condition is screened out and temporarily stored, and otherwise, the abnormal processing module is switched to.

In another feasible embodiment, the system further comprises an exception handling module, configured to cancel and automatically intercept push of a push order, and feed back an exception message to each platform; and if the first store screening unit fails to screen out the first store data meeting the ith-level condition by comparing the detailed addresses of the push orders, the first store screening unit goes to an exception handling module.

It should be noted that, in order to prevent malicious registration, the order resource is occupied. And during authentication, the identity card information is filled in by an authenticator, and the user information is intelligently matched and analyzed on the premise of not revealing the user information. And if the store is verified to be not authenticated, the order distribution is not carried out, the store is required to be transferred to a first store screening unit, and the store returns to a next-level store to judge whether the intelligent order distribution condition is met or not, and further analysis is carried out.

In another possible embodiment, the second portal screening unit is specifically configured to: obtaining the distance h between the detailed address of the push order and the address of the first store according to the longitude and latitude corresponding to the detailed address of the push order and the longitude and latitude in the data grid of the first store, wherein h is the distance between the detailed address of the push order and the address of the first store _min ≤h ₀ If so, determining that the condition is met, otherwise, not meeting the condition; wherein h is ₀ Is a preset standard distance value, h _min The corresponding store is the second store. And the LBS longitude and latitude are converted according to the detailed address of the pushed order, so that the accuracy of order matching for a fulfillment store is improved.

In another possible embodiment, the second store screening unit loops back to the first store screening unit through the second comparison, the value i is incremented, and the value n is traversed, and if the second store data meeting the condition cannot be screened, the second store data is transferred to the exception handling module.

In another possible embodiment, if the pushed order state checking unit checks that the pushed order state does not satisfy the dispatch condition, the exception handling module is turned to.

In another possible embodiment, the system further comprises a timeout order rejection processing module and a commission order generation module.

The overtime order rejection processing module determines that the order receiving time t of the push order is more than or equal to t according to the order receiving information fed back by the order pool of the second store ₀ Or push the order quiltAnd if the answer is rejected, the system goes to a first store screening unit.

The commission order generation module judges whether the type of the second store meets the condition, and if so, the commodity quantity of the fulfillment order is calculated to generate a commission order; if not, no commission order is generated.

Compared with the prior art, the online electronic commerce order distribution method has the advantages that the electronic commerce orders of a plurality of platforms on line are converged, various intelligent networks, store warehouses, self-built stores and other high-quality stores and dealers are integrated, the stores are used as the warehouses, order routes are built, orders are intelligently distributed, the terminals are opened to execute application, the whole area is covered completely, the logistics distribution time from the platforms to the stores to the terminal consumers is saved, the orders are more accurately and intelligently distributed, and the optimal performance experience of the consumers is guaranteed.

Example two

As shown in fig. 2, an intelligent allocation method for grid push orders is disclosed, which comprises the following steps:

step 1, receiving push orders of all platforms, such as a Tianmao tower, a Wang shop, a compass, a silver leopard, a Jingdong, a cloud store, a Mingshi meeting and the like.

And 2, carrying out automatic intelligent analysis on the received push orders of each platform.

And 3, checking whether the push order state can be used for dispatching orders or not, namely whether the order dispatching condition is met or not. For example, the integrity of the order information is checked, the detailed address of the order is unknown, the name of the order sender is missing, no contact information exists, and the like, if the order information is incomplete or obviously wrong, the order is determined not to meet the order dispatching condition, and the step 12 is carried out.

And 4, if the pushed order state meets the order dispatching condition, screening out the first store data meeting the ith-level condition for temporary storage by comparing the detailed addresses of the pushed orders, wherein i is i +1, i belongs to {0,1,2,3.. n }, n is a positive integer, and n is the number of levels in order classification from the small area to the large area of the detailed addresses of the pushed orders.

The detailed addresses of the push orders are ranked in order from the small area to the large area, and for example, stores in the district level range are set as first-level stores, stores in the city level range are set as second-level stores, and stores in the provincial level range are set as third-level stores; alternatively, the store in the community/cell range in the order address may be set as a first-level store, the store in the district range may be set as a second-level store, the store in the city range may be set as a third-level store, and the store in the provincial range may be set as a fourth-level store.

The screening conditions (e.g., first stage conditions) in this step are: matching the first-level store range, namely screening all stores in the area-level range matching the order address by comparing the detailed addresses of the pushed orders, and temporarily storing the screened stores as first store data; or screening all stores in the community/cell range which are in accordance with the order address by comparing the detailed address of the push order, and temporarily storing the stores as first store data.

It can be understood that, besides the above-mentioned classification example, the present invention may further include other classification rules and classification level numbers, where the store levels in the small area range to the large area range are set step by step, and the store level in the small area range is greater than the store level in the large area range.

Therefore, if the store data meeting the first-level condition is not matched, that is, the store data is not matched in the range of the first-level store, the matching of the stores in the range of the next-level store is continued, and the value i is incremented until the first store data meeting the ith-level condition is screened out and temporarily stored, otherwise, the step 12 is carried out.

And 5, converting the detailed address of the push order into the longitude and latitude of the high moral, comparing the detailed address with the longitude and latitude in the first store data grid for the second time, and circularly returning to the step 4 until the second store data meeting the conditions are screened out.

It should be noted that the detailed address of the push order is obtained according to the longitude and latitude corresponding to the detailed address of the push order and the longitude and latitude in the first store data gridA distance h from the address of the first store, and h _min ≤h ₀ If so, determining that the condition is met, otherwise, not meeting the condition. Wherein h is ₀ Is a preset standard distance value. h is a total of _min The corresponding store is the second store. And the LBS longitude and latitude are converted according to the detailed address of the pushed order, so that the accuracy of order matching for a fulfillment store is improved.

And if the second store data is not matched, circularly returning to the step 4, continuing to match stores in the range of next-level stores, and increasing the value of i until the second store data meeting the condition is screened out.

Otherwise, if the second comparison is performed through the longitude and latitude, the step 4 is returned circularly, the value i is increased progressively, the value n is traversed, and the second store data meeting the conditions cannot be screened out, and then the step 12 is switched to.

And 6, judging whether the state of the second store is started or not, and if not, turning to the step 4. That is, continuing with store matches within the next level store range, the value of i is incremented.

And 7, if the second store is in the enabled state, checking whether the second store is authenticated, and if not, turning to the step 4. That is, continuing with store matches within the next level store range, the value of i is incremented.

It should be noted that, in order to prevent malicious registration, the order resource is occupied. And during authentication, the identity card information is filled in by an authenticator, and the user information is intelligently matched and analyzed on the premise of not revealing the user information. And if the store is verified to be not authenticated, the distribution order is not carried out, and the step 4 is required to be returned to the next store to judge whether the conditions of the intelligent distribution order are met.

And 8, if the second store is authenticated, checking whether the inventory quantity corresponding to the second store meets the quantity of the commodities purchased by the push order, and if not, turning to the step 4. That is, continuing with store matches within the next level store range, the value of i is incremented.

And 9, if the inventory quantity corresponding to the second store meets the quantity of the commodities purchased by the push order, automatically distributing the push order to the second store.

Step (ii) of10, according to order receiving information fed back by the order pool of the second store, determining that the order receiving time t of the push order is more than or equal to t ₀ Or the push order is rejected, go to step 4. That is, continuing with store matches within the next level store range, the value of i is incremented.

If the push order is determined not to be rejected according to order receiving information fed back by the order pool of the second store, and the order receiving time length t is less than t ₀ And then, completing the intelligent analysis of automatic delivery of the push orders, subsequently completing the delivery of the orders by stores, and then feeding back logistics information to each platform so that the consumers can check and track the logistics information.

After the order distribution is finished, calculating commission according to the performance order, wherein the commission comprises the following steps:

step 11, judging whether the type of the second store meets the condition, if so, calculating the commodity quantity of the fulfillment order and generating a commission order; if not, no commission order is generated.

And step 12, canceling and automatically intercepting the pushing of the order, and feeding back abnormal messages to each platform.

Compared with the prior art, the embodiment of the invention integrates online e-commerce orders of a plurality of platforms, integrates various online high-quality stores and dealers such as intelligent networks, store bins, self-built stores and the like, takes the stores as the bins, builds the order routes, intelligently distributes the orders, and gets through the terminal to execute the application, thereby realizing the full-area coverage, saving the logistics distribution time from the platforms to the stores to the terminal consumers, more accurately and intelligently distributing the orders, and ensuring the optimal performance experience of the consumers.

EXAMPLE III

The embodiment of the invention also discloses a computer readable storage medium, wherein a computer program is stored in the computer readable storage medium, and when the computer program is executed by a processor, the computer program realizes part or all of the steps of the grid push order intelligent distribution method.

It should be noted that for simplicity of description, the above-mentioned method embodiments are shown as a series of combinations of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to the related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a memory and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk, and various media capable of storing program codes.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.

The above embodiments of the present invention are described in detail, and the principle and the implementation of the present invention are explained by applying specific embodiments, and the above description of the embodiments is only used to help understanding the method of the present invention and the core idea thereof; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (10)

1. A grid-based push order intelligent distribution method is characterized by comprising the following steps:

step one, receiving a multi-platform push order to carry out automatic intelligent analysis of the order dispatching;

step two, checking whether the push order state meets the order dispatching condition;

step three, if the pushed order state meets the order dispatching condition, screening out first store data meeting the ith-level condition for temporary storage by comparing detailed addresses of the pushed order, wherein i is i +1, i belongs to {0,1,2,3.. n }, n is a positive integer, and n is a series of levels with the detailed addresses of the pushed order graded from a small area to a large area;

step four, converting the detailed address of the pushed order into the longitude and latitude of the high degree, carrying out second comparison on the detailed address and the longitude and latitude in the first store data grid, and circularly returning to the step three until second store data meeting the conditions are screened out;

step five, judging whether the state of the second store is started, if not, turning to the step three;

step six, if the state of the second store is started, checking whether the second store is authenticated, and if not, turning to the step three;

step seven, if the second store is authenticated, checking whether the inventory quantity corresponding to the second store meets the quantity of the commodities purchased by the push order or not, and if not, turning to the step three;

and step eight, if the inventory quantity corresponding to the second store meets the quantity of the commodities purchased by the push order, distributing the push order to the second store.

2. The method according to claim 1, wherein the step of converting the detailed address of the push order into the longitude and latitude of the high degree, and performing a second comparison between the detailed address of the push order and the longitude and latitude in the first store data grid to screen out second store data meeting the condition specifically comprises: obtaining the distance h between the detailed address of the push order and the address of the first store according to the longitude and latitude corresponding to the detailed address of the push order and the longitude and latitude in the data grid of the first store, wherein h is the distance between the detailed address of the push order and the address of the first store _min ≤h ₀ If so, determining that the condition is met, otherwise, not meeting the condition; wherein h is ₀ Is a preset standard distance value, h _min The corresponding store is the second store.

3. The intelligent distribution method of grid-based push orders as claimed in claim 1 or 2, wherein the method further comprises:

step nine, canceling and automatically intercepting the push of the push order, and feeding back abnormal messages to each platform;

if the push order state does not meet the order dispatching condition, turning to the ninth step;

if the first store data meeting the ith-level condition cannot be screened out by comparing the detailed addresses of the push orders, turning to the ninth step;

and if the second comparison is carried out, the second store data meeting the condition cannot be screened out, and the step nine is carried out.

4. The intelligent distribution method of grid-based push orders as claimed in claim 3, wherein the method further comprises:

step ten, determining the order receiving time t of the push order to be more than or equal to t according to the order receiving information fed back by the order pool of the second store ₀ Or the push order is rejected, go to step three.

5. The intelligent distribution method of grid-based push orders as claimed in claim 4, wherein the method further comprises:

step eleven, judging whether the type of the second store meets the condition, if so, calculating the commodity quantity of the fulfillment order, and generating a commission order; if not, no commission order is generated.

6. An intelligent grid-based push order distribution system is applied to the implementation of the intelligent grid-based push order distribution method according to any one of claims 1 to 5, and specifically comprises the following steps: the push order receiving module, the automatic order dispatching intelligent analysis module and the push order distribution module are arranged on the push order receiving module;

the push order receiving module receives the push orders of the multiple platforms and sends the push orders to the automatic order dispatching intelligent analysis module so as to carry out automatic order dispatching intelligent analysis;

the automatic order-dispatching intelligent analysis module carries out automatic order-dispatching intelligent analysis aiming at the received push orders, and specifically comprises: the system comprises a push order state checking unit, a first store screening unit, a second store state judging unit, a second store authentication unit and a second store inventory checking unit; the push order state checking unit checks whether the push order state meets the order dispatching condition; if the pushed order state meets the order dispatching condition, the first store screening unit screens out first store data meeting the ith-level condition for temporary storage by comparing detailed addresses of the pushed orders, wherein i is i +1, i belongs to {0,1,2,3.. n }, n is a positive integer, and n is a level number for order classification of the detailed addresses of the pushed orders from a small area to a large area; the second store screening unit converts the detailed address of the push order into the longitude and latitude of the high latitude, and carries out second comparison with the longitude and latitude in the first store data grid to screen out second store data meeting the conditions; the second store state judging unit judges whether the state of the second store is started or not, and if not, the second store is transferred to the first store screening unit; if the second store is in the starting state, the second store authentication unit verifies whether the second store is authenticated, and if not, the second store is switched to the first store screening unit; if the second store is authenticated, the second store inventory checking unit checks whether the inventory quantity corresponding to the second store meets the quantity of the commodities purchased by the push order, and if not, the second store is transferred to the first store screening unit;

and if the inventory quantity corresponding to the second store meets the quantity of the commodities purchased by the push order, the push order distribution module distributes the push order to the second store.

7. The grid-based push order intelligent distribution system according to claim 6, wherein the second portal screening unit is specifically configured to: obtaining the distance h between the detailed address of the push order and the address of the first store according to the longitude and latitude corresponding to the detailed address of the push order and the longitude and latitude in the data grid of the first store, wherein h is the distance between the detailed address of the push order and the address of the first store _min ≤h ₀ If so, determining that the condition is met, otherwise, not meeting the condition; wherein h is ₀ Is a preset standard distance value, h _min The corresponding store is the second store.

8. The intelligent grid-based push order distribution system according to claim 6 or 7, further comprising an exception handling module, configured to cancel and automatically intercept push of a push order, and feed back exception messages to each platform; if the pushed order state checking unit checks that the pushed order state does not meet the conditions of dispatching the single pieces, the abnormal handling module is switched to; if the first store screening unit fails to screen out the first store data meeting the i-th-level condition by comparing the detailed addresses of the push orders, the first store screening unit transfers the first store data to an exception processing module; and if the second store screening unit fails to screen out the second store data meeting the conditions through the second comparison, the second store screening unit goes to the exception handling module.

9. The intelligent grid-based push order distribution system of claim 8, further comprising a timeout rejection processing module and a commission order generation module;

the overtime order rejection processing module determines that the order receiving time t of the push order is more than or equal to t according to the order receiving information fed back by the order pool of the second store ₀ Or the push order is rejected, the mobile terminal is transferred to a first store screening unit;

the commission order generation module judges whether the type of the second store meets the condition, and if so, the commodity quantity of the fulfillment order is calculated to generate a commission order; if not, no commission order is generated.

10. A computer-readable storage medium, which stores a computer program, wherein the computer program, when executed by a processor, implements the steps of a grid push order intelligent distribution method according to any one of claims 1-5.

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