Air cargo distribution method and device

Abstract

The invention discloses an air cargo distribution method and device, and relates to the technical field of logistics. A specific embodiment of the method comprises the steps of obtaining historical delivery information of air cargo, determining a first delivery amount according to the historical delivery information and a cargo amount prediction algorithm, and performing booking according to the first delivery amount to determine a first booking amount; obtaining loading capacity, flight information and order deadline of the shopping platform, and determining loading deadline according to the first delivery amount, the loading capacity and the flight information; judging whether the loading deadline is earlier than the order placing deadline; and if yes, carrying out loading and distribution of the air transportation goods according to the first booking amount. According to the embodiment, the delivery cost is effectively reduced, the cargo delivery efficiency is improved, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the field of logistics technology, and in particular to an air cargo distribution method and device. Background Art

[0002] With the rise of Internet shopping, users have higher and higher requirements for the delivery time of the purchased goods. Delivery of goods by air can significantly improve the delivery time and enhance the user experience.

[0003] In the related art, shopping platforms or express delivery companies cooperating with shopping platforms usually make predictions based on historical cargo volumes and book cargo according to the prediction results. However, due to the deviation between the booking cargo volume determined according to the prediction results and the actual cargo volume, the delivery costs of express delivery companies and airlines are increased, and the efficiency of cargo delivery is affected, which affects the user experience. Summary of the invention

[0004] In view of this, an embodiment of the present invention provides an air cargo delivery method and device, which can combine historical cargo volume forecast results with real-time order information, and book space with the most accurate shipment volume while ensuring that cargo loading can be completed, thereby improving the accuracy of booking volume, effectively reducing the delivery costs of express companies and airlines, improving cargo delivery efficiency, and enhancing user experience.

[0005] To achieve the above object, according to one aspect of an embodiment of the present invention, there is provided an air cargo delivery method, comprising:

[0006] Acquire historical shipment information of air cargo, determine a first shipment volume according to the historical shipment information and a cargo volume prediction algorithm, and book cargo according to the first shipment volume to determine a first booking volume;

[0007] Obtain loading capacity, flight information, and order cut-off time of the shopping platform, and determine the loading cut-off time according to the first shipment volume, loading capacity, and flight information;

[0008] Determine whether the loading deadline is earlier than the ordering deadline; if so, load and deliver the air cargo based on the first booking quantity.

[0009] Furthermore, if the loading deadline is equal to or later than the ordering deadline, the method further includes:

[0010] Obtain historical order information and determine the order cancellation ratio based on the historical order information;

[0011] Obtain the total number of orders up to the order deadline, and determine the second shipment quantity based on the total number of orders and the order cancellation ratio;

[0012] The first booking quantity is adjusted according to the second shipment quantity, and the air cargo is loaded and distributed according to the second booking quantity corresponding to the second shipment quantity.

[0013] Furthermore, the method further comprises:

[0014] Get the collection cut-off time of the sales department and determine whether the loading cut-off time is equal to or later than the collection cut-off time;

[0015] If so, obtain the third shipment volume up to the collection deadline, adjust the first booking volume according to the third shipment volume, and load and distribute the air cargo with the third booking volume corresponding to the third shipment volume.

[0016] Furthermore, the method further comprises:

[0017] Obtain the pick-up cut-off time of the sorting center and determine whether the loading cut-off time is equal to or later than the pick-up cut-off time;

[0018] If so, obtain the fourth shipment volume up to the collection deadline, adjust the first booking volume according to the fourth shipment volume, and load and distribute the air cargo with the fourth booking volume corresponding to the fourth shipment volume.

[0019] Further, if the loading deadline is equal to or later than the ordering deadline, after the step of determining the second delivery quantity according to the total order quantity and the order cancellation ratio, the method further includes:

[0020] determining a difference in quantity between the second shipment and the first shipment;

[0021] Determine whether the cargo volume difference is greater than or equal to the cargo volume threshold; if not, load and distribute the air cargo with the first booking volume; if so, adjust the first booking volume according to the second shipment volume.

[0022] Furthermore, the method also includes a step of determining the loading capacity, including:

[0023] The number of loaders and loading efficiency are obtained, and the loading capacity is calculated based on the number of loaders, loading efficiency and the first shipment volume.

[0024] According to another aspect of an embodiment of the present invention, there is provided an air cargo distribution device, characterized in that it comprises:

[0025] A first shipment volume determination module is used to obtain historical shipment information of air cargo, determine a first shipment volume according to the historical shipment information and a cargo volume prediction algorithm, and book cargo according to the first shipment volume to determine a first booking volume;

[0026] A loading deadline determination module is used to obtain loading capacity, flight information, and the order deadline of the shopping platform, and determine the loading deadline according to the first shipment volume, loading capacity, and flight information;

[0027] The distribution module is used to determine whether the loading deadline is earlier than the ordering deadline; if so, the air cargo is loaded and distributed according to the first booking quantity.

[0028] Furthermore, if the loading deadline is equal to or later than the ordering deadline, the delivery module is further configured to:

[0029] Obtain historical order information and determine the order cancellation ratio based on the historical order information;

[0030] Obtain the total number of orders up to the order deadline, and determine the second shipment quantity based on the total number of orders and the order cancellation ratio;

[0031] The first booking quantity is adjusted according to the second shipment quantity, and the air cargo is loaded and distributed according to the second booking quantity corresponding to the second shipment quantity.

[0032] According to another aspect of an embodiment of the present invention, there is provided an electronic device for air cargo delivery, comprising:

[0033] one or more processors;

[0034] a storage device for storing one or more programs,

[0035] When one or more programs are executed by one or more processors, the one or more processors implement any of the above-mentioned air cargo delivery methods.

[0036] According to another aspect of the embodiments of the present invention, a computer readable medium is provided, on which a computer program is stored, and when the program is executed by a processor, any of the above-mentioned air cargo delivery methods is implemented.

[0037] An embodiment of the above invention has the following advantages or beneficial effects: because the historical shipment information of air cargo is obtained, the first shipment volume is determined according to the historical shipment information and the cargo volume prediction algorithm, and booking is performed according to the first shipment volume to determine the first booking volume; the loading capacity, flight information, and the order deadline of the shopping platform are obtained, and the loading deadline is determined according to the first shipment volume, the loading capacity and flight information; it is determined whether the loading deadline is earlier than the order deadline; if so, the air cargo is loaded and distributed with the first booking volume. Therefore, the technical means overcomes the technical problem that the related art is only based on the historical cargo volume for prediction, and there is a deviation between the booking volume determined according to the prediction result and the actual cargo volume, resulting in high distribution cost, low distribution efficiency, and poor user experience, thereby achieving the combination of the historical cargo volume prediction results with the real-time order information, and booking is performed with the most accurate shipment volume while ensuring that the cargo loading can be completed, thereby improving the accuracy of the booking volume, effectively reducing the distribution costs of express companies and airlines, improving the cargo distribution efficiency, and improving the user experience.

[0038] The further effects of the above-mentioned non-conventional optional manner will be described below in conjunction with the specific implementation manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings are used to better understand the present invention and do not constitute an improper limitation of the present invention.

[0040] Figure 1 is a schematic diagram of the main process of an air cargo delivery method provided according to an embodiment of the present invention;

[0041] Figure 2a is a schematic diagram of the main process of an air cargo delivery method provided according to another embodiment of the present invention;

[0042] Figure 2b yes Figure 2a The schematic diagram of time node judgment in the cargo distribution method shown;

[0043] Figure 3 is a schematic diagram of main modules of an air cargo distribution device provided according to an embodiment of the present invention;

[0044] Figure 4 is an exemplary system architecture diagram to which embodiments of the present invention may be applied;

[0045] Figure 5 It is a schematic diagram of the structure of a computer system of a terminal device or a server suitable for implementing an embodiment of the present invention. DETAILED DESCRIPTION

[0046] The following is a description of exemplary embodiments of the present invention in conjunction with the accompanying drawings, including various details of the embodiments of the present invention to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present invention. Similarly, for clarity and conciseness, the description of well-known functions and structures is omitted in the following description.

[0047] Figure 1 FIG. 1 is a schematic diagram of the main process of an air cargo delivery method according to an embodiment of the present invention; Figure 1 As shown, the air cargo delivery method provided by the embodiment of the present invention mainly includes:

[0048] Step S101, obtaining historical shipping information of air cargo, determining a first shipping volume according to the historical shipping information and a cargo volume prediction algorithm, and booking according to the first shipping volume to determine a first booking volume.

[0049] According to an embodiment of the present invention, an existing cargo volume prediction algorithm can be used to predict the first shipment volume. Specifically, routing line wave information, historical waybill volume information / historical shipment volume information, cargo volume fluctuation law information, cargo type, etc. are used as algorithm elements; combined with set algorithm rules, such as adjacent line wave merging rules, specific cargo volume prediction rules (such as exponential smoothing algorithms, machine learning models, deep learning spatiotemporal prediction algorithms, etc.), quantile prediction rules (such as setting a slightly higher cargo volume prediction result to avoid insufficient booking volume due to low cargo volume prediction, which affects the delivery time of goods), and other algorithm rules (such as eliminating or rationalizing large abnormal weights that are entered incorrectly), and then predicting the first shipment volume through machine learning and deep learning.

[0050] Since airlines have time limits for cabin reservations, such as requiring reservations to be received 12 hours before the current wave takes off (this numerical setting is only an example and is determined according to the regulations of different airlines), the above settings use historical shipment information and cargo volume forecasting algorithms to determine the first shipment volume, which can ensure that bookings are made based on the first shipment volume before the booking deadline required by the airline. Subsequently, the first booking volume is adjusted based on the real-time shipment volume determined by combining real-time order information, collection information, etc., to further reduce delivery costs.

[0051] Step S102, obtaining the loading capacity, flight information, and order cut-off time of the shopping platform, and determining the loading cut-off time according to the first shipment volume, loading capacity, and flight information.

[0052] Specifically, according to an embodiment of the present invention, the method further includes a step of determining the loading capacity, including:

[0053] The number of loaders and loading efficiency are obtained, and the loading capacity is calculated based on the number of loaders, loading efficiency and the first shipment volume.

[0054] In order to ensure that the scheduled booking volume can complete the loading of the goods to be delivered, so as to ensure that the goods can be delivered smoothly, through the above settings, the loading capacity is first determined, and then the loading deadline (the time when the flight stops loading goods) can be accurately determined in combination with the departure time of the current wave indicated by the flight information, providing a basis for the subsequent judgment whether to adjust the first booking volume according to the real-time shipment volume.

[0055] Step S103, determining whether the loading deadline is earlier than the ordering deadline; if so, loading and delivering the air cargo according to the first booking quantity.

[0056] According to an embodiment of the present invention, if the loading deadline is earlier than the order deadline, it means that under the condition that the loading of the goods can be completed, even if the booking quantity is adjusted at this time, it is difficult to ensure that the goods can be loaded smoothly. That is, in this case, the real-time cargo quantity corresponding to the order deadline cannot be used as a more accurate shipment quantity. At this time, the first booking quantity must still be used for loading and delivery of air cargo.

[0057] Further, according to an embodiment of the present invention, if the loading deadline is equal to or later than the ordering deadline, the method further includes:

[0058] Obtain historical order information and determine the order cancellation ratio based on the historical order information;

[0059] Obtain the total number of orders up to the order deadline, and determine the second shipment quantity based on the total number of orders and the order cancellation ratio;

[0060] The first booking quantity is adjusted according to the second shipment quantity, and the air cargo is loaded and distributed according to the second booking quantity corresponding to the second shipment quantity.

[0061] According to an embodiment of the present invention, although the corresponding total order volume can be counted in real time up to the order deadline, this part of the total order volume cannot be used as the actual shipment volume. Therefore, it is also necessary to obtain historical order information to determine the order cancellation ratio (the order cancellation ratio refers to the ratio of orders canceled before the goods are collected and delivered), and then determine the second shipment volume based on the total order volume and the order cancellation ratio. If the loading deadline is equal to or later than the order deadline, it means that even if the first booking volume is adjusted at this time, it can ensure that the goods can be loaded and delivered before the current wave departs. Therefore, the first booking volume can be adjusted according to the second shipment volume to determine the second booking volume, and then the second booking volume is used for loading and delivery of air cargo. Through the above settings, the problem of inaccurate first shipment volume predicted based on historical shipment volume is avoided, and the actual shipment volume (second shipment volume) counted in real time is used to determine the second booking volume, which effectively reduces the loss of the express company and reduces the delivery cost.

[0062] Preferably, according to an embodiment of the present invention, if the loading deadline is equal to or later than the ordering deadline, after the step of determining the second delivery quantity according to the total order quantity and the order cancellation ratio, the method further includes:

[0063] determining a difference in quantity between the second shipment and the first shipment;

[0064] Determine whether the cargo volume difference is greater than or equal to the cargo volume threshold; if not, load and distribute the air cargo with the first booking volume; if so, adjust the first booking volume according to the second shipment volume.

[0065] Through the above settings, since adjusting the booking quantity may require paying a certain amount of compensation to the airline (determined according to the contract signed between the express company and the airline), before adjusting the first shipment quantity according to the second shipment quantity, it is also possible to first determine whether the cargo volume difference between the first shipment quantity and the second shipment quantity is greater than or equal to the cargo volume threshold. If so, the first shipment quantity is adjusted. If not, that is, the cargo volume difference is less than the cargo volume threshold, in order to ensure the optimal delivery cost option, delivery can still be carried out with the first booking quantity.

[0066] Optionally, according to an embodiment of the present invention, the method further includes:

[0067] Get the collection cut-off time of the sales department and determine whether the loading cut-off time is equal to or later than the collection cut-off time;

[0068] If so, obtain the third shipment volume up to the collection deadline, adjust the first booking volume according to the third shipment volume, and load and distribute the air cargo with the third booking volume corresponding to the third shipment volume.

[0069] According to the embodiment of the present invention, the second shipment volume is determined based on the total number of orders placed up to the order deadline and the order cancellation ratio determined by the historical order information. The order cancellation ratio is also a prediction and does not represent the actual cancellation ratio of the current batch. Therefore, if the loading deadline is later than the collection deadline, it means that a more accurate collection and shipment volume (i.e., the third shipment volume) can be further determined. The first booking volume can be adjusted based on the third shipment volume to determine the third booking volume, and the air cargo can be subsequently loaded and delivered based on the third booking volume.

[0070] Exemplarily, according to an embodiment of the present invention, the method further includes:

[0071] Obtain the pick-up cut-off time of the sorting center and determine whether the loading cut-off time is equal to or later than the pick-up cut-off time;

[0072] If so, obtain the fourth shipment volume up to the collection deadline, adjust the first booking volume according to the fourth shipment volume, and load and distribute the air cargo with the fourth booking volume corresponding to the fourth shipment volume.

[0073] Furthermore, if the loading deadline is later than the collection deadline, it means that before the current wave starts, the first booking quantity can be adjusted according to the final collected shipment volume (i.e., the fourth shipment volume), that is, the fourth booking volume can be determined, and the air cargo can be loaded and distributed with the fourth booking volume.

[0074] According to an embodiment of the present invention, it can be understood that before adjusting the first booking quantity with the third shipment volume or the fourth shipment volume, the cargo volume difference between the third shipment volume and the first shipment volume or the cargo volume difference between the fourth shipment volume and the first shipment volume can also be determined, and then based on the relationship between the cargo volume difference and the cargo volume threshold, it is determined whether to adjust the first booking quantity to minimize the delivery cost and ensure the delivery timeliness.

[0075] According to the technical solution of the embodiment of the present invention, the historical shipment information of air cargo is obtained, the first shipment volume is determined according to the historical shipment information and the cargo volume prediction algorithm, and booking is performed according to the first shipment volume to determine the first booking volume; the loading capacity, flight information, and the order deadline of the shopping platform are obtained, and the loading deadline is determined according to the first shipment volume, the loading capacity and the flight information; it is judged whether the loading deadline is earlier than the order deadline; if so, the air cargo is loaded and distributed according to the first booking volume. Therefore, the technical means overcomes the technical problem that the related art only predicts based on the historical cargo volume, and there is a deviation between the booking volume determined according to the prediction result and the actual cargo volume, resulting in high distribution cost, low distribution efficiency, and poor user experience, thereby achieving the combination of the historical cargo volume prediction results with the real-time order information, and booking is performed with the most accurate shipment volume while ensuring that the cargo loading can be completed, thereby improving the accuracy of the booking volume, effectively reducing the distribution costs of express companies and airlines, improving the cargo distribution efficiency, and improving the technical effect of user experience.

[0076] Figure 2a FIG. 1 is a schematic diagram of the main process of an air cargo distribution method according to another embodiment of the present invention; Figure 2a As shown, the air cargo delivery method provided by the embodiment of the present invention mainly includes:

[0077] Step S201, obtaining historical shipping information of air cargo, determining a first shipping volume according to the historical shipping information and a cargo volume prediction algorithm, and booking according to the first shipping volume to determine a first booking volume.

[0078] According to an embodiment of the present invention, an existing cargo volume prediction algorithm can be used to predict the first shipment volume. Specifically, routing line wave information, historical waybill volume information / historical shipment volume information, cargo volume fluctuation law information, cargo type, etc. can be used as algorithm elements; combined with set algorithm rules, such as adjacent line wave merging rules, specific cargo volume prediction rules (such as exponential smoothing algorithms, machine learning models, deep learning spatiotemporal prediction algorithms, etc.), quantile prediction rules (such as setting a slightly higher cargo volume prediction result to avoid insufficient booking volume due to low cargo volume prediction, which affects the delivery time of goods), and other algorithm rules (such as eliminating or rationalizing large abnormal weights that are entered incorrectly), and then predicting the first shipment volume through machine learning and deep learning.

[0079] At the same time, since airlines have time requirements for cabin reservations, such as requiring reservations to be received 12 hours before the current wave takes off (this numerical setting is only an example and is determined according to the regulations of different airlines), through the above settings, the first shipment volume is determined based on historical shipment information and cargo volume prediction algorithm. It can be ensured that bookings are made based on the first shipment volume before the booking deadline required by the airline. Subsequently, the first booking volume is adjusted based on the real-time shipment volume determined by combining real-time order information, collection information, etc., to further reduce delivery costs.

[0080] Step S202, obtaining loading capacity and flight wave information, and determining the loading deadline according to the first shipment volume, loading capacity and flight information.

[0081] Further, according to an embodiment of the present invention, the method further includes a step of determining the loading capacity, including:

[0082] The number of loaders and loading efficiency are obtained, and the loading capacity is calculated based on the number of loaders, loading efficiency and the first shipment volume.

[0083] Through the above settings, the loading capacity is determined first, and then the loading deadline can be accurately determined, providing a basis for subsequent judgment on whether to adjust the first booking quantity according to the real-time shipment volume. At the same time, it can also ensure that the scheduled booking quantity can complete the loading of the goods to be delivered, so as to ensure that the goods can be delivered smoothly.

[0084] Step S203, obtaining the order cut-off time of the shopping platform, the delivery cut-off time of the sales department, and the collection cut-off time of the sorting center.

[0085] Step S204, determine the relationship between the loading deadline and the order deadline. If the loading deadline is earlier than the order deadline, execute step S205; if the loading deadline is equal to or later than the order deadline, execute step S206.

[0086] Step S205: Loading and delivering the air cargo according to the first booking quantity.

[0087] According to an embodiment of the present invention, if the loading deadline is earlier than the order deadline, it means that under the condition that the cargo loading can be completed, even if the booking quantity is adjusted at this time, it is difficult to ensure that the cargo can be loaded smoothly. That is, in this case, the real-time cargo quantity corresponding to the order deadline cannot be used as a more accurate shipment quantity. At this time, the first booking quantity must still be used for loading and delivery of air cargo.

[0088] Step S206, determine the relationship between the loading deadline and the collection deadline. If the loading deadline is earlier than the collection deadline, execute step S207; if the loading deadline is equal to or later than the collection deadline, execute step S208.

[0089] Step S207, obtaining historical order information, and determining the order cancellation ratio based on the historical order information; obtaining the total order volume up to the order deadline, and determining the second shipment volume based on the total order volume and the order cancellation ratio; adjusting the first booking volume based on the second shipment volume, and loading and delivering the air cargo with the second booking volume corresponding to the second shipment volume.

[0090] According to an embodiment of the present invention, although the corresponding total order volume can be counted in real time up to the order deadline, this part of the total order volume cannot be used as the actual shipment volume. Therefore, it is also necessary to obtain historical order information to determine the order cancellation ratio (the order cancellation ratio refers to the ratio of orders canceled before the goods are collected and delivered), and then determine the second shipment volume based on the total order volume and the order cancellation ratio. If the loading deadline is equal to or later than the order deadline, it means that even if the first booking volume is adjusted at this time, it can ensure that the goods can be loaded and delivered before the current wave departs. Therefore, the first booking volume can be adjusted according to the second shipment volume to determine the second booking volume, and then the second booking volume is used for loading and delivery of air cargo. Through the above settings, the problem of inaccurate first shipment volume predicted based on historical shipment volume is avoided, and the actual shipment volume (second shipment volume) counted in real time is used to determine the second booking volume, which effectively reduces the loss of the express company and reduces the delivery cost.

[0091] Step S208, determine the relationship between the loading deadline and the collection deadline. If the loading deadline is earlier than the collection deadline, execute step S209; if the loading deadline is equal to or later than the collection deadline, execute step S210.

[0092] Step S209, obtaining a third shipment volume up to the delivery deadline, adjusting the first booking volume according to the third shipment volume, and loading and delivering the air cargo with the third booking volume corresponding to the third shipment volume.

[0093] According to the embodiment of the present invention, the second shipment volume is determined based on the total number of orders placed up to the order deadline and the order cancellation ratio determined by the historical order information. The order cancellation ratio is also a prediction and does not represent the actual cancellation ratio of the current batch. Therefore, if the loading deadline is later than the collection deadline, it means that a more accurate collection and shipment volume (i.e., the third shipment volume) can be further determined. The first booking volume can be adjusted based on the third shipment volume to determine the third booking volume, and the air cargo can be subsequently loaded and delivered based on the third booking volume.

[0094] Step S210, obtaining a fourth shipment volume up to the collection deadline, adjusting the first booking volume according to the fourth shipment volume, and loading and delivering the air cargo with the fourth booking volume corresponding to the fourth shipment volume.

[0095] Furthermore, if the loading deadline is later than the collection deadline, it means that before the current wave starts, the first booking quantity can be adjusted according to the final collected shipment volume (i.e., the fourth shipment volume), that is, the fourth booking volume can be determined, and the air cargo can be loaded and distributed with the fourth booking volume.

[0096] Figure 2b yes Figure 2a The schematic diagram of the time node judgment in the cargo delivery method is shown in FIG. 1 , where point C is the order deadline, point E is the delivery deadline, and point G is the pickup deadline. Specifically, Figure 2b As shown, if the loading deadline is earlier than point C, the first booking quantity is not adjusted. If the installation deadline is equal to or later than point C, it is specifically determined which time node the loading deadline is earlier than and closest to, and the first booking quantity is adjusted according to the actual shipment volume determined at the time node.

[0097] Further, according to an embodiment of the present invention, before the step of adjusting the first booking quantity, the method further includes:

[0098] Determine the difference in quantity between the current shipment quantity and the first shipment quantity;

[0099] Determine whether the cargo volume difference is greater than or equal to the cargo volume threshold; if not, load and distribute the air cargo with the first booking volume; if so, adjust the current booking volume according to the current shipment volume. The current shipment volume is any one of the second shipment volume, the third shipment volume, and the fourth shipment volume (determined according to the actual situation). Specifically, if there is a cargo volume difference and there is no need to adjust the first booking volume, the excess cargo can be transferred from air transportation to land transportation (when the cargo volume difference is a positive number, that is, when the actual shipment volume is high), or part of the original land transportation cargo can be transferred to air transportation (when the cargo volume difference is a negative number, that is, when the actual shipment volume is low).

[0100] According to the technical solution of the embodiment of the present invention, the historical shipment information of air cargo is obtained, the first shipment volume is determined according to the historical shipment information and the cargo volume prediction algorithm, and booking is performed according to the first shipment volume to determine the first booking volume; the loading capacity, flight information, and the order deadline of the shopping platform are obtained, and the loading deadline is determined according to the first shipment volume, the loading capacity and the flight information; it is judged whether the loading deadline is earlier than the order deadline; if so, the air cargo is loaded and distributed according to the first booking volume. Therefore, the technical means overcomes the technical problem that the related art only predicts based on the historical cargo volume, and there is a deviation between the booking volume determined according to the prediction result and the actual cargo volume, resulting in high distribution cost, low distribution efficiency, and poor user experience, thereby achieving the combination of the historical cargo volume prediction results with the real-time order information, and booking is performed with the most accurate shipment volume while ensuring that the cargo loading can be completed, thereby improving the accuracy of the booking volume, effectively reducing the distribution costs of express companies and airlines, improving the cargo distribution efficiency, and improving the technical effect of user experience.

[0101] Figure 3 Schematic diagram of the main modules of the air cargo distribution device provided according to an embodiment of the present invention; Figure 3 As shown, the air cargo distribution device 300 provided by the embodiment of the present invention mainly includes:

[0102] The first shipment volume determination module 301 is used to obtain historical shipment information of air cargo, determine a first shipment volume according to the historical shipment information and a cargo volume prediction algorithm, and book cargo according to the first shipment volume to determine a first booking volume.

[0103] According to an embodiment of the present invention, an existing cargo volume prediction algorithm can be used to predict the first shipment volume. Since airlines have time limits for cabin bookings, the above settings can be used to determine the first shipment volume based on historical shipment information and cargo volume prediction algorithms, so that bookings can be made based on the first shipment volume before the booking deadline required by the airlines. Subsequently, the first booking volume can be adjusted based on the real-time shipment volume determined by combining real-time order information, collection information, etc., to further reduce distribution costs.

[0104] The loading deadline determination module 302 is used to obtain the loading capacity, flight information, and the order deadline of the shopping platform, and determine the loading deadline according to the first shipment volume, the loading capacity, and the flight information.

[0105] Specifically, according to an embodiment of the present invention, the air cargo distribution device 300 further includes a loading capacity determination module, which is used to:

[0106] The number of loaders and loading efficiency are obtained, and the loading capacity is calculated based on the number of loaders, loading efficiency and the first shipment volume.

[0107] In order to ensure that the scheduled booking volume can complete the loading of the goods to be delivered, so as to ensure that the goods can be delivered smoothly, through the above settings, the loading capacity is first determined, and then the loading deadline can be accurately determined, providing a basis for the subsequent judgment whether to adjust the first booking volume according to the real-time delivery volume.

[0108] The distribution module 303 is used to determine whether the loading deadline is earlier than the ordering deadline; if so, the air cargo is loaded and distributed according to the first booking quantity.

[0109] According to an embodiment of the present invention, if the loading deadline is earlier than the order deadline, it means that under the condition that the loading of the goods can be completed, even if the booking quantity is adjusted at this time, it is difficult to ensure that the goods can be loaded smoothly. That is, in this case, the real-time cargo quantity corresponding to the order deadline cannot be used as a more accurate shipment quantity. At this time, the first booking quantity must still be used for loading and delivery of air cargo.

[0110] Further, according to an embodiment of the present invention, if the loading deadline is equal to or later than the ordering deadline, the delivery module 303 is further configured to:

[0111] Obtain historical order information and determine the order cancellation ratio based on the historical order information;

[0112] Obtain the total number of orders up to the order deadline, and determine the second shipment quantity based on the total number of orders and the order cancellation ratio;

[0113] The first booking quantity is adjusted according to the second shipment quantity, and the air cargo is loaded and distributed according to the second booking quantity corresponding to the second shipment quantity.

[0114] According to an embodiment of the present invention, although the corresponding total order volume can be counted in real time up to the order deadline, this part of the total order volume cannot be used as the actual shipment volume. Therefore, it is also necessary to obtain historical order information to determine the order cancellation ratio (the order cancellation ratio refers to the ratio of orders canceled before the goods are collected and delivered), and then determine the second shipment volume based on the total order volume and the order cancellation ratio. If the loading deadline is equal to or later than the order deadline, it means that even if the first booking volume is adjusted at this time, it can ensure that the goods can be loaded and delivered before the current wave departs. Therefore, the first booking volume can be adjusted according to the second shipment volume to determine the second booking volume, and then the second booking volume is used for loading and delivery of air cargo. Through the above settings, the problem of inaccurate first shipment volume predicted based on historical shipment volume is avoided, and the actual shipment volume (second shipment volume) counted in real time is used to determine the second booking volume, which effectively reduces the loss of the express company and reduces the delivery cost.

[0115] Preferably, according to an embodiment of the present invention, if the loading deadline is equal to or later than the ordering deadline, after the step of determining the second delivery quantity according to the total order quantity and the order cancellation ratio, the delivery module 303 is further configured to:

[0116] determining a difference in quantity between the second shipment and the first shipment;

[0117] Determine whether the cargo volume difference is greater than or equal to the cargo volume threshold; if not, load and distribute the air cargo with the first booking volume; if so, adjust the first booking volume according to the second shipment volume.

[0118] Through the above settings, since adjusting the booking quantity may require paying a certain amount of compensation to the airline (determined according to the contract signed between the express company and the airline), before adjusting the first shipment volume according to the second shipment volume, it is also possible to first determine whether the cargo volume difference between the first shipment volume and the second shipment volume is greater than or equal to the cargo volume threshold. If so, the first shipment volume is adjusted. If less than, in order to ensure the optimal delivery cost option, delivery can still be carried out with the first booking quantity.

[0119] Optionally, according to an embodiment of the present invention, the distribution module 303 is further used for:

[0120] Get the collection cut-off time of the sales department and determine whether the loading cut-off time is equal to or later than the collection cut-off time;

[0121] If so, obtain the third shipment volume up to the collection deadline, adjust the first booking volume according to the third shipment volume, and load and distribute the air cargo with the third booking volume corresponding to the third shipment volume.

[0122] According to the embodiment of the present invention, the second shipment volume is determined based on the total number of orders placed up to the order deadline and the order cancellation ratio determined by the historical order information. The order cancellation ratio is also a prediction and does not represent the actual cancellation ratio of the current batch. Therefore, if the loading deadline is later than the collection deadline, it means that a more accurate collection and shipment volume (i.e., the third shipment volume) can be further determined. The first booking volume can be adjusted based on the third shipment volume to determine the third booking volume, and the air cargo can be subsequently loaded and delivered based on the third booking volume.

[0123] Exemplarily, according to an embodiment of the present invention, the distribution module 303 is further used for:

[0124] Obtain the pick-up cut-off time of the sorting center and determine whether the loading cut-off time is equal to or later than the pick-up cut-off time;

[0125] If so, obtain the fourth shipment volume up to the collection deadline, adjust the first booking volume according to the fourth shipment volume, and load and distribute the air cargo with the fourth booking volume corresponding to the fourth shipment volume.

[0126] Furthermore, if the loading deadline is later than the collection deadline, it means that before the current wave starts, the first booking quantity can be adjusted according to the final collected shipment volume (i.e., the fourth shipment volume), that is, the fourth booking volume can be determined, and the air cargo can be loaded and distributed with the fourth booking volume.

[0127] According to an embodiment of the present invention, it can be understood that before adjusting the first booking quantity with the third shipment volume or the fourth shipment volume, the cargo volume difference between the third shipment volume and the first shipment volume or the cargo volume difference between the fourth shipment volume and the first shipment volume can also be determined, and then based on the relationship between the cargo volume difference and the cargo volume threshold, it is determined whether to adjust the first booking quantity to minimize the delivery cost and ensure the delivery timeliness.

[0128] According to the technical solution of the embodiment of the present invention, the historical shipment information of air cargo is obtained, the first shipment volume is determined according to the historical shipment information and the cargo volume prediction algorithm, and booking is performed according to the first shipment volume to determine the first booking volume; the loading capacity, flight information, and the order deadline of the shopping platform are obtained, and the loading deadline is determined according to the first shipment volume, the loading capacity and the flight information; it is judged whether the loading deadline is earlier than the order deadline; if so, the air cargo is loaded and distributed according to the first booking volume. Therefore, the technical means overcomes the technical problem that the related art only predicts based on the historical cargo volume, and there is a deviation between the booking volume determined according to the prediction result and the actual cargo volume, resulting in high distribution cost, low distribution efficiency, and poor user experience, thereby achieving the combination of the historical cargo volume prediction results with the real-time order information, and booking is performed with the most accurate shipment volume while ensuring that the cargo loading can be completed, thereby improving the accuracy of the booking volume, effectively reducing the distribution costs of express companies and airlines, improving the cargo distribution efficiency, and improving the technical effect of user experience.

[0129] Figure 4 An exemplary system architecture 400 is shown to which an air cargo delivery method or an air cargo delivery device according to an embodiment of the present invention may be applied.

[0130] like Figure 4 As shown, system architecture 400 may include terminal devices 401, 402, 403, network 404 and server 405. Network 404 is used to provide a medium for communication links between terminal devices 401, 402, 403 and server 405. Network 404 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0131] The user can use the terminal devices 401, 402, 403 to interact with the server 405 through the network 404 to receive or send messages, etc. Various communication client applications can be installed on the terminal devices 401, 402, 403, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, airline booking software, etc. (only for example).

[0132] The terminal devices 401 , 402 , and 403 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, and desktop computers.

[0133] Server 405 may be a server that provides various services, such as a server that (determines shipment volume / processes data) for users using terminal devices 401, 402, and 403 (for example only). The server may analyze and process the received historical shipment information, loading capacity, flight information, order cut-off time of the shopping platform, and other data, and feed back the processing results (such as the first shipment volume, the first booking volume - for example only) to the terminal device.

[0134] It should be noted that the air cargo delivery method provided in the embodiment of the present invention is generally executed by the server 405 , and accordingly, the air cargo delivery device is generally disposed in the server 405 .

[0135] It should be understood that Figure 4 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

[0136] Reference below Figure 5 , which shows a schematic diagram of the structure of a computer system 500 of a terminal device or a server suitable for implementing an embodiment of the present invention. Figure 5 The terminal device or server shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0137] like Figure 5 As shown, the computer system 500 includes a central processing unit (CPU) 501, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 502 or a program loaded from a storage part 508 into a random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the system 500 are also stored. The CPU 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0138] The following components are connected to the I / O interface 505: an input section 506 including a keyboard, a mouse, etc.; an output section 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN card, a modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the I / O interface 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 510 as needed, so that a computer program read therefrom is installed into the storage section 508 as needed.

[0139] In particular, according to the embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 509, and / or installed from the removable medium 511. When the computer program is executed by the central processing unit (CPU) 501, the above-mentioned functions defined in the system of the present invention are executed.

[0140] It should be noted that the computer-readable medium shown in the present invention may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present invention, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0141] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0142] The modules involved in the embodiments of the present invention may be implemented in software or hardware. The modules described may also be set in a processor, for example, they may be described as: a processor including a first shipment quantity determination module, a loading deadline determination module, and a distribution module. The names of these modules do not, in some cases, constitute limitations on the modules themselves. For example, the first shipment quantity determination module may also be described as "a module for obtaining historical shipment information of air cargo, determining the first shipment quantity based on the historical shipment information and the cargo quantity prediction algorithm, and booking based on the first shipment quantity to determine the first booking quantity".

[0143] As another aspect, the present invention also provides a computer-readable medium, which may be included in the device described in the above embodiment; or it may exist independently without being assembled into the device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by a device, the device includes: obtaining historical shipment information of air cargo, determining a first shipment volume according to the historical shipment information and a cargo volume prediction algorithm, and booking according to the first shipment volume to determine a first booking volume; obtaining loading capacity, flight information, and order cut-off time of the shopping platform, and determining the loading cut-off time according to the first shipment volume, loading capacity, and flight information; determining whether the loading cut-off time is earlier than the order cut-off time; if so, loading and distributing the air cargo with the first booking volume.

[0144] According to the technical solution of the embodiment of the present invention, the historical shipment information of air cargo is obtained, the first shipment volume is determined according to the historical shipment information and the cargo volume prediction algorithm, and booking is performed according to the first shipment volume to determine the first booking volume; the loading capacity, flight information, and the order deadline of the shopping platform are obtained, and the loading deadline is determined according to the first shipment volume, the loading capacity and the flight information; it is judged whether the loading deadline is earlier than the order deadline; if so, the air cargo is loaded and distributed according to the first booking volume. Therefore, the technical means overcomes the technical problem that the related art only predicts based on the historical cargo volume, and there is a deviation between the booking volume determined according to the prediction result and the actual cargo volume, resulting in high distribution cost, low distribution efficiency, and poor user experience, thereby achieving the combination of the historical cargo volume prediction results with the real-time order information, and booking is performed with the most accurate shipment volume while ensuring that the cargo loading can be completed, thereby improving the accuracy of the booking volume, effectively reducing the distribution costs of express companies and airlines, improving the cargo distribution efficiency, and improving the technical effect of user experience.

[0145] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may occur depending on design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for delivering air cargo, characterized in that: include: Acquire historical shipment information of air cargo, determine a first shipment volume according to the historical shipment information and a cargo volume prediction algorithm, and book cargo according to the first shipment volume to determine a first booking volume; Obtaining loading capacity, flight information, and an order cut-off time of a shopping platform, and determining the loading cut-off time according to the first shipment volume, the loading capacity, and the flight information; Determining whether the loading deadline is earlier than the ordering deadline; If so, the air cargo is loaded and delivered according to the first booking quantity.

2. The air cargo delivery method according to claim 1, characterized in that: If the loading deadline is equal to or later than the ordering deadline, the method further includes: Obtaining historical order information, and determining an order cancellation ratio based on the historical order information; Obtaining the total number of orders up to the order deadline, and determining the second delivery quantity according to the total number of orders and the order cancellation ratio; The first booking quantity is adjusted according to the second shipment quantity, and the air cargo is loaded and distributed according to the second booking quantity corresponding to the second shipment quantity.

3. The air cargo delivery method according to claim 2, characterized in that: The method further comprises: Obtain the delivery cut-off time of the business department, and determine whether the loading cut-off time is equal to or later than the delivery cut-off time; If so, obtain a third shipment volume up to the delivery deadline, adjust the first booking volume according to the third shipment volume, and load and distribute the air cargo with the third booking volume corresponding to the third shipment volume.

4. The air cargo delivery method according to claim 2, characterized in that: The method further comprises: Obtain the pick-up cut-off time of the sorting center, and determine whether the loading cut-off time is equal to or later than the pick-up cut-off time; If so, obtain a fourth shipment volume up to the collection cut-off time, adjust the first booking volume according to the fourth shipment volume, and load and distribute the air cargo with a fourth booking volume corresponding to the fourth shipment volume.

5. The air cargo delivery method according to claim 2, characterized in that: If the loading deadline is equal to or later than the ordering deadline, after the step of determining the second delivery quantity according to the total order quantity and the order cancellation ratio, the method further includes: determining a difference in quantity between the second shipment quantity and the first shipment quantity; Determine whether the cargo volume difference is greater than or equal to a cargo volume threshold; if not, load and distribute the air cargo with the first booking volume; if so, adjust the first booking volume according to the second shipment volume.

6. The air cargo delivery method according to claim 1, characterized in that: The method further comprises a step of determining the loading capacity, comprising: The number of loading personnel and loading efficiency are obtained, and the loading capacity is calculated according to the number of loading personnel, loading efficiency and the first shipment volume.

7. An air cargo distribution device, characterized in that: include: A first shipment volume determination module, configured to obtain historical shipment information of air cargo, determine a first shipment volume according to the historical shipment information and a cargo volume prediction algorithm, and book cargo according to the first shipment volume to determine a first booking volume; a loading deadline determination module, configured to obtain loading capacity, flight information, and an order deadline of a shopping platform, and determine the loading deadline according to the first shipment volume, the loading capacity, and the flight information; A delivery module, used to determine whether the loading deadline is earlier than the ordering deadline; If so, the air cargo is loaded and delivered according to the first booking quantity.

8. The air cargo delivery device according to claim 7, characterized in that: If the loading deadline is equal to or later than the ordering deadline, the delivery module is further configured to: Obtaining historical order information, and determining an order cancellation ratio based on the historical order information; Obtaining the total number of orders up to the order deadline, and determining the second delivery quantity according to the total number of orders and the order cancellation ratio; The first booking quantity is adjusted according to the second shipment quantity, and the air cargo is loaded and distributed according to the second booking quantity corresponding to the second shipment quantity.

9. An electronic device for air cargo delivery, characterized in that: include: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 6.

10. A computer readable medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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