Order allocation and processing method and device, freight determination method and device, medium and program product

Abstract

The invention provides an order allocation and processing method and device, a freight determination method and device, a medium and a program product. The method comprises the steps of receiving a query request of a logistics line; the query request carries target order attribute information; in response to the query request, determining a logistics line and a target freight corresponding to the target order attribute information under the logistics line, and returning a query result including the logistics line and the target freight; in response to the order creation request, creating a logistics order based on the target freight, and allocating the logistics order to a target logistics service provider; a target freight corresponding to the target order attribute information is obtained by adjusting a reference freight corresponding to the target order attribute information based on a target freight adjustment strategy corresponding to the target order attribute information, and the target freight adjustment strategy corresponding to the target order attribute information is determined based on a freight elasticity coefficient corresponding to the target order attribute information; the freight elastic coefficient is determined based on the relationship between the freight variation and the quantity variation of the historical orders.

Description

Technical Field

[0001] This specification relates to one or more embodiments in the field of logistics technology, and more particularly to an order allocation and processing, freight determination method, device, medium and program product. Background Technology

[0002] In the current logistics service sector, to meet diverse transportation needs and enhance market competitiveness, logistics platforms typically integrate resources from multiple suppliers. For the same logistics route, multiple different logistics service providers often offer transportation services, each independently quoting prices to the logistics platform based on its own operating costs, service levels, and market strategies. When a user searches for logistics services, the platform returns search results containing multiple options from various providers for the same route. These options may be similar in content, but differ in key parameters such as price and delivery time. While this approach ensures comprehensive information, it forces users to manually browse, compare, and filter through a large amount of structurally similar redundant information to select the logistics service option that best suits their needs. This process is not only cumbersome but also inefficient. Furthermore, pricing freight at the logistics route level in related technologies is inaccurate and fails to balance the volume of logistics orders with the platform's revenue. Summary of the Invention

[0003] To solve at least one of the above technical problems, this specification provides one or more embodiments of the following technical solutions: According to a first aspect of one or more embodiments of this specification, an order allocation method is proposed, applied to a logistics platform, the method comprising: Receive a query request for a logistics route; the query request carries the target order attribute information; In response to the query request, the system determines the logistics route and the target freight corresponding to the target order attribute information under the logistics route, and returns query results including the logistics route and the target freight. The logistics route is provided by multiple logistics service providers. In response to receiving an order creation request for the logistics route, a logistics order is created on the logistics route based on the target freight rate, and the logistics order is assigned to a target logistics service provider among the plurality of logistics service providers; The target shipping cost corresponding to the target order attribute information is obtained by adjusting the base shipping cost corresponding to the target order attribute information based on the target shipping cost adjustment strategy corresponding to the target order attribute information. The target shipping cost adjustment strategy corresponding to the target order attribute information is determined based on the shipping cost elasticity coefficient corresponding to the target order attribute information. The shipping cost elasticity coefficient is determined based on the relationship between the shipping cost change and the quantity change of historical orders.

[0004] As can be seen from the above embodiments, this specification establishes a unified freight adjustment strategy for logistics routes to uniformly price the target freight for those routes and display query results including the target freight to users. This reduces the browsing and comparison operations required when users place orders, thereby lowering the operational complexity and improving order efficiency. The freight adjustment strategy prices logistics services at the granularity of order attribute information, achieving refined pricing for orders with different order attribute information and improving pricing accuracy. The freight adjustment strategy is determined based on the freight elasticity coefficient corresponding to the order attribute information, which is determined based on the relationship between the change in the number of historical orders and the change in freight corresponding to the order attribute information. This ensures that the determined freight adjustment strategy can fully consider information from both the order quantity and freight dimensions, effectively balancing the order quantity and the revenue of the logistics platform.

[0005] According to a second aspect of one or more embodiments of this specification, a method for determining freight costs is provided, the method comprising: Retrieve multiple historical logistics orders that belong to the same target logistics route and have the same target order attribute information; Based on the number of historical logistics orders corresponding to different freight information in the multiple historical logistics orders, the freight elasticity coefficient corresponding to the target order attribute information is determined, and a freight adjustment strategy corresponding to the target order attribute information on the target logistics route is generated based on the freight elasticity coefficient; the freight elasticity coefficient is determined based on the relationship between the freight change and the quantity change of historical orders. Based on the freight adjustment strategy corresponding to the target order attribute information on the target logistics route, the base freight corresponding to the target order attribute information on the target logistics route is adjusted to obtain the target freight corresponding to the target order attribute information on the target logistics route.

[0006] As can be seen from the above embodiments, this specification, for multiple historical logistics orders belonging to the same target logistics route and having the same target order attribute information, determines the freight elasticity coefficient corresponding to the target order attribute information based on the number of historical logistics orders corresponding to different freight information, and generates a freight adjustment strategy corresponding to the target order attribute information on the target logistics route based on the freight elasticity coefficient. This achieves refined pricing of freight at the granularity of order attribute information, improving the accuracy of freight pricing. Since the freight elasticity coefficient is determined based on the relationship between the change in freight and the change in the number of orders, the determination of the target freight simultaneously considers both the number of logistics orders and the revenue of the logistics platform, thus balancing the quantity of logistics orders and the revenue of the logistics platform.

[0007] According to a third aspect of one or more embodiments of this specification, an electronic device is provided, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor performs the executable instructions to implement the steps of the method as described in the first or second aspect of one or more embodiments of this specification.

[0008] According to a fourth aspect of one or more embodiments of this specification, a logistics order processing method for an e-commerce platform is proposed, applied to a logistics platform, the method comprising: Receive a query request for logistics routes sent by an e-commerce platform; the query request carries target order attribute information; In response to the query request, the system determines the logistics route and the target shipping cost corresponding to the target order attribute information under the logistics route, and returns the query results including the logistics route and the target shipping cost to the e-commerce platform, so that the e-commerce platform can send the query results to the buyer's client on the e-commerce platform for display; the logistics route is provided by multiple logistics service providers. In response to receiving an order creation request from the e-commerce platform for the logistics route, a logistics order is created on the logistics route based on the target shipping cost, and the logistics order is assigned to a target logistics service provider among the multiple logistics service providers; the logistics order is generated when the buyer's client on the e-commerce platform successfully pays for the order of goods delivered through the logistics route, and the seller's client on the e-commerce platform performs the shipment fulfillment operation; The target shipping cost corresponding to the target order attribute information is obtained by adjusting the base shipping cost corresponding to the target order attribute information based on the target shipping cost adjustment strategy corresponding to the target order attribute information. The target shipping cost adjustment strategy corresponding to the target order attribute information is determined based on the shipping cost elasticity coefficient corresponding to the target order attribute information. The shipping cost elasticity coefficient is determined based on the relationship between the shipping cost change and the quantity change of historical product orders.

[0009] According to a fifth aspect of one or more embodiments of this specification, a computer-readable storage medium is provided that stores computer instructions thereon, which, when executed by a processor, implement the steps of the method as described in the first or second aspect of one or more embodiments of this specification.

[0010] According to a sixth aspect of one or more embodiments of this specification, a computer program product is provided, comprising a computer program / instructions that, when executed by a processor, implement the steps of the method as described in the first or second aspect of one or more embodiments of this specification.

[0011] According to a seventh aspect of one or more embodiments of this specification, a logistics platform is provided, the logistics platform comprising: An order data server is used to store order data for historical logistics orders; the order data includes shipping information, order attribute information, and logistics route information. An algorithm server is used to obtain order data of multiple historical logistics orders belonging to the same target logistics route and having the same target order attribute information from the order data server, and to determine the freight elasticity coefficient corresponding to the target order attribute information based on the number of historical logistics orders corresponding to different freight information in the multiple historical logistics orders; the freight elasticity coefficient is determined based on the relationship between the freight change and the quantity change of historical orders. A strategy server is deployed with an inference model, which is used to generate a freight adjustment strategy corresponding to the target order attribute information on the target logistics route based on the freight elasticity coefficient. A pricing server is used to adjust the base freight rate corresponding to the target order attribute information on the target logistics route based on the freight rate adjustment strategy corresponding to the target order attribute information on the target logistics route, so as to obtain the target freight rate corresponding to the target order attribute information on the target logistics route.

[0012] As can be seen from the above embodiments, this specification addresses multiple historical logistics orders belonging to the same target logistics route and possessing the same target order attribute information. First, the algorithm server determines the freight elasticity coefficient corresponding to the target order attribute information based on the number of historical logistics orders with different freight information. Then, the strategy server generates a freight adjustment strategy corresponding to the target order attribute information on the target logistics route based on the freight elasticity coefficient. Finally, the pricing server adjusts the base freight corresponding to the target order attribute information on the target logistics route to obtain the target freight corresponding to the target order attribute information on the target logistics route. This achieves refined freight pricing at the order attribute information granularity, improving the accuracy of freight pricing. Since the freight elasticity coefficient is determined based on the relationship between the change in freight and the change in the number of orders, the determination of the target freight simultaneously considers both the number of logistics orders and the revenue of the logistics platform, thus balancing the quantity of logistics orders and the revenue of the logistics platform. Attached Figure Description

[0013] Figure 1 This is a schematic diagram of a system architecture provided in an exemplary embodiment.

[0014] Figure 2 This is a flowchart of an order allocation method provided in an exemplary embodiment.

[0015] Figure 3 This is a diagram illustrating the order query results in related technologies.

[0016] Figure 4 This is a schematic diagram of a freight elasticity coefficient provided in an exemplary embodiment.

[0017] Figure 5 This is a schematic diagram illustrating the relationship between gross profit and revenue as a function of freight rate adjustments, provided in an exemplary embodiment.

[0018] Figure 6 This is a schematic diagram of a freight adjustment strategy provided in an exemplary embodiment.

[0019] Figure 7 This is a schematic diagram of an order query result provided in an exemplary embodiment.

[0020] Figure 8 This is a flowchart of a freight cost determination method provided in an exemplary embodiment.

[0021] Figure 9 This is a flowchart of a logistics order processing method for an e-commerce platform, provided as an exemplary embodiment.

[0022] Figure 10 This is a schematic diagram of the structure of a device provided in an exemplary embodiment.

[0023] Figure 11 This is a block diagram of an order allocation device provided in an exemplary embodiment.

[0024] Figure 12 This is a block diagram of a freight determination device provided in an exemplary embodiment.

[0025] Figure 13 This is a block diagram of a logistics order processing device for an e-commerce platform, provided as an exemplary embodiment.

[0026] Figure 14 This is a schematic diagram of a logistics platform provided in an exemplary embodiment. Detailed Implementation

[0027] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments in this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0028] On logistics platforms, the same logistics route is often provided by multiple different logistics service providers, each offering their own service quotes for the same route. They may be different. Currently, logistics platforms typically price their services differently. On this basis, add a fixed adjustment coefficient. ( (A constant greater than 1) forms the final quote (i.e., shipping cost) to the user. When a user queries logistics services, the logistics platform returns search results containing multiple logistics service providers offering the same logistics route. These service options include basic information about the route and corresponding pricing (i.e.,...). Because these options are highly similar in content structure, users need to manually browse, compare, and filter through a large amount of redundant information with similar structures to select the logistics service option that meets their needs.

[0029] To overcome the aforementioned problems, one improvement is to return query results to users at the granularity of logistics routes, rather than at the granularity of specific logistics services provided by different logistics service providers for the same route. Under this approach, only one aggregated query result is returned to the user for each logistics route. This result includes basic information about the corresponding logistics route and a unified price quote, which aggregates the logistics services provided by multiple logistics service providers for that route and their respective prices. Users no longer need to manually select specific logistics service providers; they only need to choose their preferred logistics route and submit an order. The logistics platform will then receive the order and automatically assign it to a logistics service provider in the backend for transport.

[0030] However, this improvement has introduced new and more complex technical problems in practice: this integrated display model makes it difficult to directly apply traditional pricing and allocation mechanisms. Firstly, because the logistics platform needs to set a uniform freight rate for each logistics route, the service quotes of different logistics providers vary. Unlike before, a fixed coefficient was applied to the price of a single service (i.e. The simple markup model is no longer feasible. Furthermore, a uniform pricing approach presents another technical challenge: using the same pricing strategy for orders with different attributes across the entire logistics route lacks precision. Overpricing may lead to order loss, while underpricing will reduce the logistics platform's profits. Therefore, how to price the integrated logistics route in a way that balances attracting users (maintaining order volume) with ensuring the logistics platform's revenue (maximizing profits) becomes the core technical obstacle to implementing this solution.

[0031] Based on this, this specification proposes an order allocation method for logistics routes where multiple logistics service providers offer services. Instead of displaying the freight rates of each provider separately to the user, as is the traditional method, a freight adjustment strategy is developed for the logistics route to uniformly price the target freight rate and display the query results including the target freight rate to the user. This eliminates the need for users to browse and compare query results from multiple logistics service providers when placing an order, reducing operational complexity and improving efficiency. Furthermore, this specification uses order attribute information as the granularity for pricing logistics services. On one hand, this enables refined pricing for orders with different order attributes, improving pricing accuracy. On the other hand, the freight adjustment strategy corresponding to the order attribute information is determined based on the freight elasticity coefficient corresponding to that order attribute information. Since the freight elasticity coefficient is determined based on the relationship between the historical order quantity changes and freight rate changes corresponding to the order attribute information, the determined freight adjustment strategy fully considers both order quantity and freight rate information, thus ensuring that the final target freight adjustment coefficient effectively balances order quantity and the logistics platform's revenue. The specific implementation methods of the embodiments of this specification will be illustrated below with reference to the accompanying drawings.

[0032] Figure 1 This is a schematic diagram of the architecture of a logistics service system provided in an exemplary embodiment. For example... Figure 1 As shown, the system may include a server 11, a network 12, and several electronic devices, such as a personal computer (PC) 13, a mobile phone 14, etc.

[0033] Server 11 can be a physical server containing a single host, or it can be a virtual server hosted in a host cluster. During operation, server 11 can run server-side programs for a specific application to implement the relevant functions of that application. For example, when server 11 runs a logistics service program, it can function as a corresponding logistics service platform (hereinafter referred to as the logistics platform). Its functions include, but are not limited to, receiving query requests for logistics routes, returning logistics route information, receiving order creation requests, responding to order creation requests to create logistics orders (hereinafter referred to as orders), allocating orders to logistics service providers, recording and updating the status of orders, receiving order status query requests, and returning order status, etc.

[0034] Personal computers 13 and mobile phones 14 are just some of the types of electronic devices that users can use. In reality, users can obviously also use electronic devices such as tablets, laptops, PDAs (Personal Digital Assistants), wearable devices (such as smart glasses, smartwatches, etc.), etc., and one or more embodiments in this specification do not limit this. During operation, the electronic device can run a client-side program of an application to realize the relevant functions of that application. For example, when the electronic device runs a logistics service program, it can act as a client for that logistics service. The aforementioned logistics service client application can be launched and run on the electronic device. This client-side program can be a native application installed on the electronic device, or it can be a mini-program, quick app, or other similar form. Of course, when using web technologies such as HTML5 or similar, the relevant functions can be realized through a page displayed by a browser. This browser can be a standalone browser application or a browser module embedded in some applications.

[0035] As for the network 12 that enables interaction between electronic devices such as personal computers 13 and mobile phones 14 and the server 11, the communication can be implemented using either wired or wireless networks based on the communication methods supported by the respective electronic devices. This specification does not impose any restrictions on this. For example, personal computer 13 can support both wired and wireless communication, so it can use either wired or wireless networks as needed. Mobile phone 14 typically only supports wireless communication, so it can use a wireless network for communication.

[0036] Figure 2 An order allocation method according to an embodiment of this specification is shown. This method can be applied to a logistics platform, and the method includes: Step S12: Receive a query request for the logistics route; the query request carries the target order attribute information; Step S14: In response to the query request, determine the logistics route and the target freight corresponding to the target order attribute information under the logistics route, and return the query results including the logistics route and the target freight. The logistics route is provided by multiple logistics service providers. Step S16: In response to receiving an order creation request for a logistics route, create a logistics order on the logistics route based on the target freight rate, and assign the logistics order to the target logistics service provider among multiple logistics service providers; Specifically, the target shipping cost corresponding to the target order attribute information is obtained by adjusting the base shipping cost corresponding to the target order attribute information based on the target shipping cost adjustment strategy corresponding to the target order attribute information. The target shipping cost adjustment strategy corresponding to the target order attribute information is determined based on the shipping cost elasticity coefficient corresponding to the target order attribute information. The shipping cost elasticity coefficient is determined based on the relationship between the shipping cost change and the quantity change of historical orders.

[0037] In step S12, the logistics platform can receive a query request sent by the client, which is used to query information about logistics routes. For example, in a query scenario, the user can actively input or select logistics route information (such as the place of shipment and destination) on the client's query interface, and then the client generates a query request based on the user's input or selection information and sends the query request to the logistics platform. As another example, in a recommendation scenario, the client can actively send a query request to the logistics platform when the user is browsing a specific page, based on the user's current browsing context (such as the location of the goods, the user's delivery address) or the user's historical behavior data, to obtain specific logistics route information related to the current context.

[0038] Query requests can include target order attribute information, such as cargo weight, delivery destination, and / or cargo type (e.g., fragile items, electronic items, flammable items, explosive items, fresh produce, etc.). Taking a query scenario as an example, interactive components (such as selection or input components) can be provided on the client's display interface. The aforementioned target order attribute information can be selected by the user through the selection component or entered through the input component. In addition to the target order attribute information listed above, target order attribute information can also include other information, such as shipping location, cargo volume, promised delivery time window, and / or timeliness level.

[0039] In step S14, at least one logistics route can be determined in response to the query request. For example, if the query request includes a place of origin and a destination, the logistics platform can determine at least one logistics route that covers the complete transportation path from the place of origin to the place of receipt. The determined logistics routes may include those provided by multiple logistics service providers, whose service prices for the same route may differ. Furthermore, the logistics services provided by these multiple service providers may also differ in other aspects, such as the delivery destination or delivery time. Figure 3As shown, logistics service providers A and B can both provide logistics services for logistics route XXXX, while logistics service providers C and D can both provide logistics services for logistics route YYYY. Taking logistics route XXXX as an example, the delivery price of logistics service provider A is 403.12 yuan / kg, and the delivery price of logistics service provider B is 413.25 yuan / kg. Furthermore, the delivery time of logistics service provider A is 5-13 working days, and the delivery time of logistics service provider B is 4-12 working days.

[0040] Freight adjustment strategies can be pre-generated for each logistics route on the logistics platform. The freight adjustment strategy for any logistics route includes the freight adjustment strategies corresponding to the attribute information of each order on that route. Taking any logistics route X on the logistics platform as an example, and assuming that the target order attribute information includes the weight of the goods and the destination, the freight adjustment strategy for logistics route X can be in the form shown in Table 1 below: Table 1. Freight Adjustment Strategy for Logistics Route X It is understood that the above table format is only an example for illustration. In addition to the table format, the freight adjustment strategy can also be expressed in other forms.

[0041] In the above embodiments, for any logistics route, the freight adjustment strategy corresponding to each order attribute information on that logistics route can include a freight adjustment range, used to characterize the degree of adjustment to the base freight. A larger freight adjustment range indicates a greater degree of adjustment to the base freight, and a larger difference between the adjusted target freight and the base freight; conversely, a smaller freight adjustment range indicates a lesser degree of adjustment to the base freight, and a smaller difference between the adjusted target freight and the base freight. The freight adjustment range can be positive, 0, or negative. When the freight adjustment range is positive, it indicates an upward adjustment to the base freight, resulting in a target freight higher than the base freight; when the freight adjustment range is 0, it indicates that the base freight and the target freight are the same; when the freight adjustment range is negative, it indicates a downward adjustment to the base freight, resulting in a target freight lower than the base freight. The adjustment method for the freight adjustment range to the base freight can be multiplication or addition. In the case of multiplication, the freight adjustment range can be used as a scaling factor to scale the base freight. For example, assuming the base freight is... If the shipping adjustment factor for a certain order attribute is 'a', then the target shipping cost after adjustment can be determined as follows: U. In the case of addition, the freight adjustment range can be a specific price, assuming the base freight is... The freight adjustment range is The adjusted target freight cost can then be determined as follows: .

[0042] The following example illustrates the specific methods for determining freight adjustment factors.

[0043] First, for any given order attribute information, the corresponding freight elasticity coefficient can be determined. The freight elasticity coefficient can be based on the relationship between changes in freight and quantity in historical orders, reflecting the sensitivity of order quantity to changes in freight. A higher freight elasticity coefficient indicates that the order quantity is more sensitive to changes in freight, meaning a smaller change in freight will lead to a larger change in order quantity; a lower freight elasticity coefficient indicates that the order quantity is less sensitive to changes in freight, meaning a larger change in freight will only lead to a smaller change in order quantity. In some embodiments, the ratio of the change in order quantity to the change in freight can be determined as the freight elasticity coefficient. Continuing with the example of order attribute information including the weight and destination of the goods, assuming the goods are shipped to... The historical order freight rate variation for goods weighing less than 10 kg within the region is as follows: And the change in freight costs is The corresponding change in the number of historical orders is Then (destination = The freight elasticity coefficient corresponding to the order attribute information (weight < 10 kg) can be expressed as: and The ratio, i.e. In some embodiments, order data from multiple historical orders along a logistics route can be obtained. The order data includes shipping information, and the number of historical orders under different shipping costs can be counted. Based on the number of historical orders under different shipping costs, the relationship between the changes in shipping costs and the changes in the number of historical orders can be determined.

[0044] Then, the shipping cost adjustment strategy corresponding to the order attribute information can be determined based on the shipping cost elasticity coefficient. Specifically, the shipping cost elasticity coefficient can be divided into multiple numerical intervals, for example, a first interval greater than a first shipping cost elasticity coefficient threshold, a second interval less than a second shipping cost elasticity coefficient threshold, and a third interval greater than or equal to the second shipping cost elasticity coefficient threshold and less than or equal to the first shipping cost elasticity coefficient threshold; wherein, the first shipping cost elasticity coefficient threshold is greater than or equal to the second shipping cost elasticity coefficient threshold. When the first shipping cost elasticity coefficient threshold is equal to the second shipping cost elasticity coefficient threshold, the third interval will degenerate into a specific value. The following explanation uses an example where both the first and second shipping cost elasticity coefficient thresholds are equal to 1.

[0045] See Figure 4A shipping elasticity coefficient greater than 1 (i.e., in the first interval) indicates that the change in the number of historical orders (referred to as the change in order quantity) corresponding to the change in shipping cost is greater than the change in shipping cost. For example, when the change in shipping cost is 1%, the corresponding change in the number of orders is greater than 1%, meaning that the order quantity is relatively sensitive to shipping costs. In this case, the shipping cost under the order attribute information is elastic. A shipping elasticity coefficient less than 1 (i.e., in the second interval) indicates that the change in the number of orders corresponding to the change in shipping cost is less than the change in shipping cost. For example, when the change in shipping cost is 1%, the corresponding change in the number of orders is less than 1%, meaning that the order quantity is relatively insensitive to shipping costs. In this case, the shipping cost under the order attribute information is inelastic. A shipping elasticity coefficient equal to 1 (i.e., in the third interval) indicates that the change in the number of orders corresponding to the change in shipping cost is equal to the change in shipping cost. For example, when the change in shipping cost is 1%, the corresponding change in the number of orders is also 1%, meaning that the change in order quantity and the change in shipping cost are basically linearly related. In this case, the shipping cost under the order attribute information has linear elasticity.

[0046] When the freight elasticity coefficient falls within different numerical ranges, the sensitivity of order quantity to freight costs varies, and therefore, different freight adjustment strategies are applicable. Thus, different numerical ranges of the freight elasticity coefficient can be pre-associated with different freight adjustment strategies. Based on this, the target numerical range of the freight elasticity coefficient corresponding to the target order's attribute information can be obtained, and the freight adjustment strategy corresponding to the target numerical range can be determined as the freight adjustment strategy corresponding to the target order's attribute information.

[0047] In some embodiments, shipping cost adjustment strategies may include a sales-priority strategy, a revenue-priority strategy, and a specified shipping cost strategy. A sales-priority strategy determines the shipping cost adjustment based on preset order quantity constraints, aiming to guarantee the number of orders on the logistics platform. A revenue-priority strategy determines the shipping cost adjustment based on preset order revenue constraints, aiming to guarantee the logistics platform's revenue. A specified shipping cost strategy determines the shipping cost adjustment to a specified range.

[0048] In some embodiments, the shipping cost adjustment strategy corresponding to the first interval may include an order quantity priority strategy. Optionally, a candidate value range for the shipping cost adjustment range can be determined, and the minimum value within the candidate value range can be determined as the required shipping cost adjustment range. For example, assuming that the candidate value range for the shipping cost adjustment coefficient is [5%, 12%], then 5% can be determined as the required shipping cost adjustment range. When the shipping cost elasticity coefficient is in the first interval, reducing shipping costs can significantly increase the number of orders, thereby ensuring that the logistics platform can obtain a sufficient number of orders.

[0049] In some embodiments, the freight adjustment strategy corresponding to the second interval may include an order revenue priority strategy. Optionally, the relationship between revenue and freight adjustment magnitude can be determined, and this relationship and order revenue constraints are input into a pre-trained inference model so that the inference model determines the required freight adjustment magnitude based on this relationship and order revenue constraints. The relationship between revenue and freight adjustment magnitude can be determined based on historical orders. In some embodiments, the logistics platform's revenue may include gross profit and revenue. Gross profit can be determined based on the total freight of all historical orders, and revenue can be determined based on the sum of profits of all historical orders. The profit of any historical order can be determined based on the difference between the freight and cost of that historical order. Order revenue constraints may include, but are not limited to, maximizing the logistics platform's gross profit, maximizing the logistics platform's revenue, and maximizing revenue when gross profit is not lower than a preset value. In some embodiments, such as... Figure 5 As shown, the relationship between gross profit and freight cost adjustment (i.e., gross profit-freight cost relationship) and the relationship between revenue and freight cost adjustment (i.e., revenue-freight cost relationship) can be obtained. These relationships, along with order revenue constraints, are input into the inference model to determine the required freight cost adjustment range. When the freight cost elasticity coefficient is in the second interval, reducing freight costs does not significantly increase order volume. Therefore, the freight cost adjustment range can be determined based on the logistics platform's revenue to ensure its profitability.

[0050] In some embodiments, the freight adjustment strategy corresponding to the third interval may include a specified freight strategy.

[0051] In some embodiments, when determining a freight adjustment strategy, in addition to considering the freight elasticity coefficient, the market competition situation of the logistics route can also be considered. Specifically, the number of similar routes corresponding to a logistics route can be obtained. The number of similar routes for any given logistics route represents the number of logistics routes of the same type on other logistics platforms. For example, a logistics route may be a high-time-delivery route, such as a "half-day delivery" route, where orders are delivered within half a day of order placement. If other logistics platforms also have half-day delivery routes, then the corresponding routes on those other platforms are of the same type as the "half-day delivery" route. If the number of similar routes for a logistics route exceeds a preset threshold, a freight adjustment strategy corresponding to the target order attribute information can be determined based on the freight elasticity coefficient corresponding to the target order attribute information on that logistics route. In this embodiment, if the number of similar routes for a logistics route exceeds a preset threshold, it indicates that the competition for that logistics route is relatively intense. Therefore, a freight adjustment strategy is determined based on the freight elasticity coefficient, thereby matching the determined freight adjustment strategy with market demand.

[0052] In other embodiments, if the number of similar routes on a certain logistics route is less than or equal to a preset quantity threshold, a pre-set reference freight adjustment strategy can be determined as the freight adjustment strategy corresponding to the target order attribute information on that logistics route. The reference freight adjustment strategy can be the specified freight strategy in the aforementioned embodiments.

[0053] In some embodiments, the freight elasticity coefficient corresponding to the target order attribute information can be determined first, and then the freight elasticity coefficient corresponding to the target order attribute information can be input into the inference model so that the inference model can determine the freight adjustment strategy corresponding to the target order attribute information based on the freight elasticity coefficient corresponding to the target order attribute information.

[0054] In some embodiments, the predicted order quantity of the logistics platform can also be obtained. If the predicted order quantity is greater than the maximum order quantity that the logistics platform can handle, the freight adjustment strategy corresponding to the target order attribute information can be modified based on a pre-generated remaining order model. The remaining order model describes the relationship between the number of remaining orders that the logistics platform can handle and the changes in freight costs over time.

[0055] The predicted order quantity of a logistics platform can be obtained based on historical order quantities. Specifically, order quantities within multiple historical time periods can be acquired, and the time characteristics of each historical time period can be labeled. For example, each historical time period can be a day, and the labeled time characteristics can include what day of the week it is, whether it is a holiday, etc. Then, a prediction model is trained based on the order quantities within multiple historical time periods and their labeled time characteristics. The time characteristics of the target time period to be predicted can be input into the trained prediction model to predict the order quantity for the target time period. Furthermore, to improve prediction accuracy, the trend of order quantity changes in the most recent preset time period (e.g., the last 7 days) compared to the same period in history can be calculated, and the order quantity predicted by the prediction model can be adjusted based on this trend.

[0056] The remaining order model can be denoted as: ,in, Represents a functional relationship. Indicates shipping costs. Indicates time, This represents the remaining order quantity. The meaning of the above remaining order model is that when the shipping cost is... At that time, the number of orders that the logistics platform can handle decreases from the maximum number of orders that the logistics platform can handle. Time required The time can be preset. and For example, the time intervals (departure intervals for trucks or takeoff intervals for airplanes) for logistics platform-based transportation vehicles (such as trucks and airplanes) are set. The set time The interval can be less than or equal to the above-mentioned shift intervals, and can be set as follows: It can be greater than or equal to 0, but less than the maximum number of orders the logistics platform can handle. Then, the set... and Substitute into the remaining order model to obtain the reference shipping cost. Based on the target order attribute information, the base shipping cost corresponding to the target order attribute information is adjusted according to the target shipping cost adjustment strategy to obtain the target shipping cost, and then based on the reference shipping cost. The difference between the reference shipping cost and the target shipping cost is used to adjust the target shipping cost adjustment strategy corresponding to the target order attribute information. If the reference shipping cost is greater than the target shipping cost, the shipping cost adjustment range in the target shipping cost adjustment strategy can be increased; if the reference shipping cost is less than the target shipping cost, the shipping cost adjustment range in the target shipping cost adjustment strategy can be decreased.

[0057] In some embodiments, the target shipping cost adjustment strategy can also be manually modified by the user. For example, the user can modify the shipping cost adjustment range in the target shipping cost adjustment strategy. Further, in response to receiving a modification instruction for the target shipping cost adjustment strategy, the system can obtain the first predicted order quantity corresponding to the modified target shipping cost adjustment strategy and the second predicted order quantity corresponding to the original target shipping cost adjustment strategy. If the difference between the first predicted order quantity and the second predicted order quantity is greater than a preset difference threshold, a prompt message is output. The preset difference threshold can be a default value or a value preset by the user, such as 10%. This approach can reduce the likelihood of a significant drop in the number of orders on the logistics platform due to user error.

[0058] The target shipping cost adjustment strategy can be determined based on the target order attribute information. For example, assuming the order attribute information includes the delivery destination and the weight of the goods, and the shipping cost adjustment strategy for the logistics route is shown in Table 1, if the target order attribute information is (destination = ... If the weight is less than 10 kg, then the target shipping cost adjustment strategy corresponding to the target order attribute information is Strategy 1. After determining the target shipping cost adjustment strategy, the base shipping cost corresponding to the target order attribute information can be adjusted based on the target shipping cost adjustment strategy to obtain the target shipping cost corresponding to the target order attribute information. Figure 6 A diagram illustrating the freight adjustment strategy is shown. (For example...) Figure 6As shown, the freight adjustment strategy can be to use the freight adjustment range (e.g., 11%) as a proportional coefficient to adjust the base freight rate proportionally. The base freight rate can be determined as the cost price of the logistics route or other reference prices input by the user. The cost price of the logistics route can be obtained by weighting the service quotes of the various logistics service providers offering logistics services for that route. The weighting weight for any logistics service provider can be determined based on the proportion of historical orders allocated to that provider. Assuming that the logistics service providers offering logistics services for route A include Supplier 1, Supplier 2, and Supplier 3, and the total number of historical orders on route A is 100, with 50, 30, and 20 historical orders allocated to Supplier 1, Supplier 2, and Supplier 3 respectively, then the weighting weights allocated to Supplier 1, Supplier 2, and Supplier 3 are 0.5, 0.3, and 0.2 respectively. The competitor price of a logistics route refers to the freight rates of other routes with the same type as the logistics route. For example, Figure 6 The first freight adjustment strategy in the document refers to adding 11% to the cost price to obtain the target freight rate. Alternatively, the freight adjustment strategy could be to adjust the base freight rate using an increment (such as 10 yuan / KG). For example, Figure 6 The second freight adjustment strategy is to reduce the price by 10 yuan per kilogram based on the competitor's price.

[0059] After determining the target shipping cost, the query results, including the logistics route and target shipping cost, can be returned to the client. The query results displayed on the client are as follows: Figure 7 As shown. It can be seen that, compared to Figure 3 As shown, in Figure 7 The query results shown return only one result for each logistics route. This means that results from multiple logistics service providers offering the same route are no longer displayed separately in different results, but rather in a single result. Furthermore, the target freight rate for each route is displayed uniformly, rather than differentiated by supplier. This eliminates the need for users to browse and compare multiple results for the same logistics route, improving order placement efficiency and reducing operational complexity. In addition, freight rates are set separately for different destinations and cargo weights, rather than using the same freight rate for different destinations and cargo weights on the same route, thus improving the precision of freight pricing.

[0060] It should be noted that in step S14, the freight adjustment strategy can be stored in the logistics platform's strategy database. Upon receiving a query request, the target freight adjustment strategy is retrieved from the strategy database in real time in response to the query request, and then the target freight is calculated based on the retrieved target freight adjustment strategy. Alternatively, the target freight adjustment strategy can be retrieved in advance and the target freight can be calculated, and then the calculated target freight can be cached in the logistics platform. In this way, upon receiving a query request, the cached target freight can be directly retrieved.

[0061] Furthermore, the freight adjustment strategies corresponding to each order attribute information on any one or more logistics routes can be updated. For example, the freight adjustment strategies can be updated according to a preset period. Each time an update is performed, historical order data from the previous period is retrieved, and the freight adjustment strategies under each order attribute information are updated based on the historical order data from the previous period.

[0062] In step S16, the user can send an order creation request to the logistics platform through the order placement control on the client. Upon receiving the order creation request, the logistics platform can create a logistics order for the logistics route based on the target freight rate and assign the order to the target logistics service provider among multiple logistics service providers offering services for that route. The target logistics service provider can be determined based on at least one of the following: the service price, service quality, and delivery time. For example, the logistics service provider with the lowest service price, the highest service quality, or the highest delivery time can be selected as the target logistics service provider. Alternatively, the target service provider can be determined based on a combination of user preferences and logistics service provider information. For example, if the user is highly sensitive to delivery time, the logistics service provider with the highest delivery time can be selected as the target logistics service provider; if the user is highly sensitive to service quality, the logistics service provider with the highest service quality can be selected as the target logistics service provider.

[0063] See Figure 8 This specification also provides a method for determining freight costs, the method comprising: Step S22: Obtain multiple historical logistics orders that belong to the same target logistics route and have the same target order attribute information; Step S24: Based on the number of historical logistics orders corresponding to different freight information in multiple historical logistics orders, determine the freight elasticity coefficient corresponding to the target order attribute information, and generate a freight adjustment strategy corresponding to the target order attribute information on the target logistics route based on the freight elasticity coefficient; the freight elasticity coefficient is determined based on the relationship between the freight change and the quantity change of historical orders. Step S26: Based on the freight adjustment strategy corresponding to the target order attribute information on the target logistics route, adjust the base freight corresponding to the target order attribute information on the target logistics route to obtain the target freight corresponding to the target order attribute information on the target logistics route.

[0064] In step S22, a historical order set from the logistics platform can be pre-acquired. Logistics route information and order attribute information are then parsed from each order in the historical order set. Based on the parsed logistics route information and order attribute information, multiple historical logistics orders belonging to the same target logistics route and having the same target order attribute information are identified. Alternatively, operations and maintenance personnel can input logistics route information and order attribute information into the order filtering interface, and based on the input logistics route information and order attribute information, multiple historical logistics orders belonging to the same target logistics route and having the same target order attribute information are filtered out.

[0065] In step S24, the target logistics route may include any one or more logistics routes on the logistics platform, and the target order attribute information may include any one or more order attribute information on the target logistics route. For details on the specific implementation of steps S24 and S26, please refer to the aforementioned order allocation method; they will not be repeated here.

[0066] See Figure 9 This specification also provides an embodiment of a logistics order processing method for an e-commerce platform, applied to a logistics platform, the method comprising: Step S32: Receive a logistics route query request sent by the e-commerce platform; the query request carries the target order attribute information; Step S34: In response to the query request, determine the logistics route and the target shipping cost corresponding to the target order attribute information under the logistics route, and return the query results including the logistics route and target shipping cost to the e-commerce platform so that the e-commerce platform can send the query results to the buyer's client on the e-commerce platform for display; the logistics route is provided by multiple logistics service providers. Step S36: In response to receiving an order creation request for a logistics route from the e-commerce platform, create a logistics order for the logistics route based on the target shipping cost, and assign the logistics order to the target logistics service provider among multiple logistics service providers; the logistics order is generated when the buyer's client on the e-commerce platform successfully pays for the order of goods delivered through the logistics route, and the seller's client on the e-commerce platform performs the shipment fulfillment operation. Specifically, the target shipping cost corresponding to the target order attribute information is obtained by adjusting the base shipping cost corresponding to the target order attribute information based on the target shipping cost adjustment strategy corresponding to the target order attribute information. The target shipping cost adjustment strategy corresponding to the target order attribute information is determined based on the shipping cost elasticity coefficient corresponding to the target order attribute information. The shipping cost elasticity coefficient is determined based on the relationship between the shipping cost change and the quantity change of historical product orders.

[0067] In this embodiment, buyers on the e-commerce platform can view product information through a buyer's client and then click on a payment redirection control on the client to be redirected to the order page. When a buyer clicks the payment redirection control, the e-commerce platform can send a query request to the logistics platform to find a logistics route that can deliver the product on the order page. The query request sent by the e-commerce platform can carry target order attribute information, which can be obtained from the product database. The logistics platform can determine the target shipping cost corresponding to the target order attribute information under the logistics route and return the query results of the logistics route and target shipping cost to the e-commerce platform. The e-commerce platform can then return the query results to the buyer's client, which can then display them on the order page.

[0068] In addition, the order page can include payment controls, allowing buyers to complete payment. After successful payment, the e-commerce platform can assign the order to the seller, whose client will display the order information. The seller can also fulfill the shipment order through their client. Once fulfillment is complete, a logistics order is generated. The e-commerce platform can then send the logistics order information to the logistics platform. The logistics platform can then assign the order to the target logistics service provider.

[0069] The method for determining the target freight cost in this embodiment can refer to the aforementioned embodiment, and will not be repeated here.

[0070] Figure 10 This is a schematic structural diagram of a device provided in an exemplary embodiment. For example... Figure 10As shown, device 400 mainly consists of a communication interface 402, a user interface 404, a processor 406, and a data storage 408. These components are interconnected and communicate with each other via a system bus, network, or other connection mechanism 410. The communication interface 402 enables device 400 to communicate with other devices, access networks, and transmission networks via analog or digital modulation. For example, the communication interface 402 may include a chipset and antenna for wireless communication with a radio access network or access point. Furthermore, the communication interface 402 can be a wired interface such as Ethernet, Token Ring, or a USB port, or a wireless interface such as Wi-Fi, Bluetooth, Global Positioning System (GPS), or a wide-area wireless interface (e.g., WiMAX or LTE). Of course, the communication interface 402 can also support other forms of physical layer interfaces and standard or proprietary communication protocols. The communication interface 402 may also include multiple physical communication interfaces, such as Wi-Fi, Bluetooth, and wide-area wireless interfaces.

[0071] User interface 404 includes receiving user input and providing output to the user. Therefore, user interface 404 may include input components such as a keypad, keyboard, touch-sensitive or presence-sensitive panel, computer mouse, trackball, joystick, microphone, still camera, and video camera, and output components such as a display screen (which may be combined with a touch-sensitive panel), CRT, LCD, LED, display using DLP technology, printer, and other similar devices known or developed in the future. User interface 404 may also generate auditory output via speakers, speaker jacks, audio output ports, audio output devices, headphones, and other similar devices known or developed in the future. In some embodiments, user interface 404 may include software, circuitry, or other forms of logic capable of transmitting and receiving data from external user input / output devices. Additionally or alternatively, device 400 may support remote access from other devices via communication interface 402 or another physical interface (not shown). User interface 404 may be configured to receive user input, the position and movement of which may be indicated by an indicator or cursor described herein. User interface 404 may also be configured as a display device for rendering or displaying text fragments.

[0072] Processor 406 may contain one or more general-purpose processors and / or special-purpose processors.

[0073] Data storage 408 may include one or more volatile and / or non-volatile storage components and may be integrated wholly or partially with processor 406. Data storage 408 may include removable and non-removable components.

[0074] Processor 406 is capable of executing program instructions 418 (e.g., compiled or uncompiled program logic and / or machine code) stored in data storage 408 to perform the various functions described herein. Data storage 408 may comprise a non-transitory computer-readable medium on which program instructions are stored, which, when executed by device 400, enable device 400 to perform any methods, processes, or functions disclosed in this specification and / or the accompanying drawings. Processor 406 executing program instructions 418 may result in processor 406 using data 412.

[0075] For example, program instructions 418 may include an operating system 422 (e.g., an operating system kernel, device drivers, and / or other modules) installed on device 400 and one or more applications 420 (e.g., a browser, social application, or game application). Similarly, data 412 may include operating system data 416 and application data 414. Operating system data 416 is primarily accessible to the operating system 422, while application data 414 is primarily accessible to one or more applications 420. Application data 414 may reside in a file system visible or hidden from the user of device 400.

[0076] Application 420 can communicate with operating system 422 through one or more application programming interfaces (APIs). These APIs help application 420 read and / or write application data 414, transmit or receive information via communication interface 402, receive or display information on user interface 404, etc.

[0077] In some terminology, application 420 may be simply referred to as "app". Furthermore, application 420 can be downloaded to device 400 through one or more online app stores or app markets. However, applications can also be installed on device 400 in other ways, such as through a web browser or a physical interface on device 400 (e.g., a USB port).

[0078] Please refer to Figure 11 The order allocation device can be applied to, for example, Figure 10 The device shown is used to implement the technical solution described in this specification. The order allocation device may include: The first receiving module 502 is used to receive a query request for a logistics route; the query request carries target order attribute information. The query module 504 is used to respond to the query request to determine the logistics route and the target freight corresponding to the target order attribute information under the logistics route, and return the query results including the logistics route and the target freight, wherein the logistics route is provided by multiple logistics service providers; The first order allocation module 506 is used to respond to receiving an order creation request for the logistics route, create a logistics order on the logistics route based on the target freight, and allocate the logistics order to the target logistics service provider among the plurality of logistics service providers; The target shipping cost corresponding to the target order attribute information is obtained by adjusting the base shipping cost corresponding to the target order attribute information based on the target shipping cost adjustment strategy corresponding to the target order attribute information. The target shipping cost adjustment strategy corresponding to the target order attribute information is determined based on the shipping cost elasticity coefficient corresponding to the target order attribute information. The shipping cost elasticity coefficient is determined based on the relationship between the shipping cost change and the quantity change of historical orders.

[0079] Please refer to Figure 12 The freight determination device can be applied to, for example, Figure 10 The device shown is used to implement the technical solution described in this specification. The freight determination device may include: The order acquisition module 602 is used to acquire multiple historical logistics orders that belong to the same target logistics route and have the same target order attribute information; The elasticity coefficient determination module 604 is used to determine the freight elasticity coefficient corresponding to the target order attribute information based on the number of historical logistics orders corresponding to different freight information in the multiple historical logistics orders, and to generate a freight adjustment strategy corresponding to the target order attribute information on the target logistics route based on the freight elasticity coefficient; the freight elasticity coefficient is determined based on the relationship between the freight change and the quantity change of historical orders. The freight adjustment module 606 is used to adjust the base freight corresponding to the target order attribute information on the target logistics route based on the freight adjustment strategy corresponding to the target order attribute information on the target logistics route, so as to obtain the target freight corresponding to the target order attribute information on the target logistics route.

[0080] Please refer to Figure 13 E-commerce platform logistics order processing devices can be applied to, for example... Figure 10 The device shown is used to implement the technical solution described in this specification. The logistics order processing device may include: The second receiving module 702 is used to receive a query request for a logistics route sent by the e-commerce platform; the query request carries target order attribute information. The sending module 704 is used to respond to the query request to determine the logistics route and the target shipping cost corresponding to the target order attribute information under the logistics route, and return the query result including the logistics route and the target shipping cost to the e-commerce platform, so that the e-commerce platform can send the query result to the buyer's client of the e-commerce platform for display; the logistics route is provided by multiple logistics service providers; The second order allocation module 706 is used to respond to receiving an order creation request from the e-commerce platform for the logistics route, create a logistics order on the logistics route based on the target shipping cost, and allocate the logistics order to the target logistics service provider among the multiple logistics service providers; the logistics order is generated when the buyer's client on the e-commerce platform successfully pays for the order of goods delivered through the logistics route, and the seller's client on the e-commerce platform performs the shipment fulfillment operation; The target shipping cost corresponding to the target order attribute information is obtained by adjusting the base shipping cost corresponding to the target order attribute information based on the target shipping cost adjustment strategy corresponding to the target order attribute information. The target shipping cost adjustment strategy corresponding to the target order attribute information is determined based on the shipping cost elasticity coefficient corresponding to the target order attribute information. The shipping cost elasticity coefficient is determined based on the relationship between the shipping cost change and the quantity change of historical product orders.

[0081] For ease of description, the above devices are described by dividing them into various modules or units based on their functions. Of course, when implementing one or more of these specifications, the functions of each module or unit can be implemented in the same or different software and / or hardware, or a module that performs the same function can be implemented by a combination of multiple sub-modules or sub-units, etc. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division; in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed.

[0082] Based on the same concept as the methods described above, this specification also provides an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein the processor performs the steps of the method as described in any of the above embodiments by executing the executable instructions.

[0083] Based on the same concept as the methods described above, this specification also provides a computer-readable storage medium having computer instructions stored thereon that, when executed by a processor, implement the steps of the methods as described in any of the above embodiments.

[0084] Based on the same concept as the methods described above, this specification also provides a computer program product, including a computer program / instructions that, when executed by a processor, implement the steps of the methods as described in any of the above embodiments.

[0085] See Figure 14 This specification also provides a logistics platform, which includes: The order data server 802 is used to store order data for historical logistics orders; the order data includes freight information, order attribute information, and logistics route information. Algorithm server 804 is used to obtain order data of multiple historical logistics orders belonging to the same target logistics route and having the same target order attribute information from the order data server, and determine the freight elasticity coefficient corresponding to the target order attribute information based on the number of historical logistics orders corresponding to different freight information in the multiple historical logistics orders; the freight elasticity coefficient is determined based on the relationship between the freight change and the quantity change of historical orders. The strategy server 806 is deployed with an inference model, which is used to generate a freight adjustment strategy corresponding to the target order attribute information on the target logistics route based on the freight elasticity coefficient. The pricing server 808 is used to adjust the base freight rate corresponding to the target order attribute information on the target logistics route based on the freight rate adjustment strategy corresponding to the target order attribute information on the target logistics route, so as to obtain the target freight rate corresponding to the target order attribute information on the target logistics route.

[0086] In some embodiments, the logistics platform may further include a user management server 810 and a supplier management server 814. The user management server 810 can communicate with devices such as a personal computer 13 and a mobile phone 14 (referred to as user devices) via a network. In response to a query request from a user device, it sends logistics route information, including freight information and basic information (such as origin and destination, delivery time, etc.), to the user device. It can also create logistics orders in response to order creation requests from user devices and send the order data to the order data server 802 for storage. Freight information can be jointly obtained by an algorithm server 804, a strategy server 806, and a pricing server 808. The algorithm server 804 can be used to obtain the freight elasticity coefficient, the strategy server 806 can be used to determine the freight adjustment strategy, and the pricing server can be used to determine the final target freight (i.e., the freight displayed to the user device) based on the freight adjustment strategy. When a user queries a logistics route, the user management server 810 can obtain the target freight from the pricing server 808 and display it to the user device. Furthermore, after receiving a user's order creation request, the user management server 810 can send order data (such as the target freight rate) to the order allocation server 812. The order allocation server 812 can then send the logistics order to the supplier management server 814. The supplier management server 814 can connect to the servers of various logistics service providers, determine the target logistics service provider from among the logistics service providers offering logistics services for the logistics route based on a certain strategy, and issue the order to the server of the target logistics service provider. The specific method for determining the target freight rate is detailed in the aforementioned method embodiment and will not be repeated here.

[0087] What those skilled in the art will understand is: In this specification, the terms "comprising," "including," or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, product, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, product, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, product, or apparatus that includes said elements is not excluded.

[0088] In this specification, “a,” “an,” and “the” do not specifically refer to the singular, but may also include the plural.

[0089] In this specification, ordinal numbers such as "first," "second," etc., do not necessarily indicate order; they are often used to distinguish between objects. For example, "first server" and "second server" usually refer to two servers. To differentiate between these two servers, they are described as "first server" and "second server." Of course, sometimes these two servers may be the same server.

[0090] In this specification, unless explicitly stated otherwise, "receiving and sending data" does not necessarily mean direct receiving and sending; it can also mean indirect receiving and sending. For example, A receiving data sent by B can be understood as A directly receiving the data sent by B, or it can be understood as A indirectly receiving the data sent by B through other entities such as C. Similarly, B sending data to A can be understood as B sending the data directly to A, or it can be understood as B indirectly sending the data to A through other entities such as C. Here, C can be one entity, or it can be two or more entities.

[0091] In this specification, unless explicitly stated otherwise, the relationships between structures can be direct or indirect. For example, when describing "A is connected to B," unless it is explicitly stated that A and B are directly connected, it should be understood that A can be directly connected to B or indirectly connected to B. Similarly, when describing "A is on top of B," unless it is explicitly stated that A is directly above B (AB is adjacent and A is above B), it should be understood that A can be directly above B or indirectly above B (AB is separated by other elements, and A is above B). And so on.

[0092] This specification uses specific terms to describe embodiments thereof. Terms such as "an embodiment," "one embodiment," and / or "some embodiments" refer to a particular feature, structure, or characteristic associated with at least one embodiment of this specification. Therefore, it should be emphasized and noted that references to "an embodiment," "one embodiment," or "an alternative embodiment" in different locations throughout this specification do not necessarily refer to the same embodiment. Furthermore, those skilled in the art can combine and integrate the different embodiments or examples described herein, as well as the features of those different embodiments or examples, without contradiction.

[0093] Although one or more embodiments of this specification provide method steps as described in the embodiments or flowcharts, it is understood that the order of steps listed in the embodiments or flowcharts is only one of many possible execution orders and does not represent the only execution order. Therefore, when the claims involve method steps, any changes or adjustments to the order of such steps, or the parallelism between steps, are also within the scope of protection of the claims.

Claims

1. An order allocation method applied to a logistics platform, the method comprising: Receive logistics route query requests; The query request carries the target order attribute information; In response to the query request, the system determines the logistics route and the target freight corresponding to the target order attribute information under the logistics route, and returns query results including the logistics route and the target freight. The logistics route is provided by multiple logistics service providers. In response to receiving an order creation request for the logistics route, a logistics order is created on the logistics route based on the target freight rate, and the logistics order is assigned to a target logistics service provider among the plurality of logistics service providers; The target shipping cost corresponding to the target order attribute information is obtained by adjusting the base shipping cost corresponding to the target order attribute information based on the target shipping cost adjustment strategy corresponding to the target order attribute information. The target shipping cost adjustment strategy corresponding to the target order attribute information is determined based on the shipping cost elasticity coefficient corresponding to the target order attribute information. The shipping cost elasticity coefficient is determined based on the relationship between the shipping cost change and the quantity change of historical orders.

2. The method according to claim 1, wherein the order attribute information includes the weight of the goods, the delivery destination, and / or the type of goods in the logistics order.

3. The method according to claim 1, wherein the process of determining the freight adjustment strategy corresponding to the freight elasticity coefficient corresponding to the target order attribute information includes: Obtain the number of similar routes corresponding to the logistics route, where the number of similar routes represents the number of logistics routes of the same type as the logistics route on other logistics platforms. If the number of similar routes exceeds a preset threshold, a freight adjustment strategy corresponding to the target order attribute information is determined based on the freight elasticity coefficient corresponding to the target order attribute information.

4. The method according to claim 3, wherein determining the shipping cost adjustment strategy corresponding to the target order attribute information based on the shipping cost elasticity coefficient corresponding to the target order attribute information includes: Obtain the target value range of the freight elasticity coefficient corresponding to the target order attribute information; Different numerical ranges correspond to different freight adjustment strategies; The freight adjustment strategy corresponding to the target value range is determined as the freight adjustment strategy corresponding to the target order attribute information.

5. The method according to claim 4, wherein the freight adjustment strategy includes a freight adjustment range; the numerical range of the freight elasticity coefficient includes a first range greater than a first freight elasticity coefficient threshold, a second range less than a second freight elasticity coefficient threshold, and a third range greater than or equal to the second freight elasticity coefficient threshold and less than or equal to the first freight elasticity coefficient threshold; wherein, The first freight elasticity coefficient threshold is greater than or equal to the second freight elasticity coefficient threshold; The freight adjustment strategy corresponding to the first interval includes an order quantity priority strategy, which determines the freight adjustment range based on preset order quantity constraints. The freight adjustment strategy corresponding to the second interval includes an order revenue priority strategy, which determines the freight adjustment range based on preset order revenue constraints. The freight adjustment strategy corresponding to the third interval includes a specified freight strategy, which determines the freight adjustment range as a specified range.

6. The method according to claim 3, further comprising: If the number of similar routes is less than or equal to a preset quantity threshold, the pre-set reference freight adjustment strategy will be determined as the freight adjustment strategy corresponding to the target order attribute information.

7. The method according to claim 3 or 6, further comprising: Obtain the predicted order quantity from the logistics platform; If the predicted number of orders is greater than the maximum number of orders that the logistics platform can handle, the freight adjustment strategy corresponding to the target order attribute information is corrected based on the pre-generated remaining order model. The remaining order model is used to describe the relationship between the number of remaining orders that the logistics platform can handle and the changes in freight costs over time.

8. The method according to claim 1, further comprising: In response to receiving a correction instruction for the target freight adjustment strategy, the system obtains the first predicted order quantity corresponding to the corrected target freight adjustment strategy and the second predicted order quantity corresponding to the original target freight adjustment strategy. If the difference between the first predicted order quantity and the second predicted order quantity is greater than a preset difference threshold, a prompt message will be output.

9. A method for determining freight costs, the method comprising: Retrieve multiple historical logistics orders that belong to the same target logistics route and have the same target order attribute information; Based on the number of historical logistics orders corresponding to different freight information in the multiple historical logistics orders, the freight elasticity coefficient corresponding to the target order attribute information is determined, and a freight adjustment strategy corresponding to the target order attribute information on the target logistics route is generated based on the freight elasticity coefficient. The freight elasticity coefficient is determined based on the relationship between the changes in freight costs and the changes in quantity of historical orders; Based on the freight adjustment strategy corresponding to the target order attribute information on the target logistics route, the base freight corresponding to the target order attribute information on the target logistics route is adjusted to obtain the target freight corresponding to the target order attribute information on the target logistics route.

10. A method for processing logistics orders on an e-commerce platform, applied to the logistics platform, the method comprising: Receive logistics route query requests sent by e-commerce platforms; The query request carries the target order attribute information; In response to the query request, the system determines the logistics route and the target shipping cost corresponding to the target order attribute information under the logistics route, and returns the query results including the logistics route and the target shipping cost to the e-commerce platform, so that the e-commerce platform can send the query results to the buyer's client of the e-commerce platform for display. The logistics route is provided by multiple logistics service providers; In response to receiving an order creation request from the e-commerce platform for the logistics route, a logistics order is created on the logistics route based on the target shipping cost, and the logistics order is assigned to a target logistics service provider among the multiple logistics service providers; the logistics order is generated when the buyer's client on the e-commerce platform successfully pays for the order of goods delivered through the logistics route, and the seller's client on the e-commerce platform performs the shipment fulfillment operation; The target shipping cost corresponding to the target order attribute information is obtained by adjusting the base shipping cost corresponding to the target order attribute information based on the target shipping cost adjustment strategy corresponding to the target order attribute information. The target shipping cost adjustment strategy corresponding to the target order attribute information is determined based on the shipping cost elasticity coefficient corresponding to the target order attribute information. The shipping cost elasticity coefficient is determined based on the relationship between the shipping cost change and the quantity change of historical product orders.

11. An electronic device, comprising: processor; A memory for storing processor-executable instructions; wherein the processor implements the steps of the method as described in any one of claims 1-10 by executing the executable instructions.

12. A computer-readable storage medium having stored thereon computer instructions that, when executed by a processor, implement the steps of the method as claimed in any one of claims 1-10.

13. A computer program product comprising a computer program / instructions that, when executed by a processor, implement the steps of the method as claimed in any one of claims 1-10.

14. A logistics platform, the logistics platform comprising: Order data server, used to store order data for historical logistics orders; The order data includes shipping information, order attribute information, and logistics route information; An algorithm server is used to obtain order data of multiple historical logistics orders belonging to the same target logistics route and having the same target order attribute information from the order data server, and to determine the freight elasticity coefficient corresponding to the target order attribute information based on the number of historical logistics orders corresponding to different freight information in the multiple historical logistics orders; the freight elasticity coefficient is determined based on the relationship between the freight change and the quantity change of historical orders. A strategy server is deployed with an inference model, which is used to generate a freight adjustment strategy corresponding to the target order attribute information on the target logistics route based on the freight elasticity coefficient. A pricing server is used to adjust the base freight rate corresponding to the target order attribute information on the target logistics route based on the freight rate adjustment strategy corresponding to the target order attribute information on the target logistics route, so as to obtain the target freight rate corresponding to the target order attribute information on the target logistics route.

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