Packed data management system and datamation packing method

Abstract

The invention relates to the technical field of overseas warehouse system return operation, in particular to a packed data management system and a datamation packing method, and the method comprises the following steps: S1, determining better packed data; s2, determining packaging parameters; s3, manually optimizing the packed data; and S4, a special symbol query mechanism. The method solves the problems that an existing traditional packaging mode lacks effective utilization of data and mostly depends on manual experience to judge the packaging number and size and select packaging materials, so that resource waste is caused, packaging efficiency and cost control are affected, and meanwhile, for massive orders, if appropriate packaging data cannot be rapidly and accurately obtained, the system operation burden is increased, and the packaging efficiency and cost control are affected. The problems that in the prior art, time delay is prone to occurring, and manual operation is difficult to guarantee consistency and optimality of packed data and cannot meet the business requirement of rapid development are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of overseas warehouse system return operation, and in particular to a packaging data management system and a digitized packaging method. Background Art

[0002] As the number of overseas warehouse orders increases, the amount of packaging data that warehouses need to operate every day also increases. Warehouse packaging efficiency has become an important factor affecting customer ordering experience and the company's ability to reduce operating costs. The general status of related technologies in this field is as follows: packaging is an indispensable part of overseas express delivery, and a large amount of packaging data needs to be operated every day. The packaging data is maintained based on the packer's experience and on-site measurements. The specific solution of the existing technology is that the packing operator decides which packaging material to use for packaging based on experience or measurement, and then measures the package data.

[0003] In the logistics business system, return processing occupies a key position and is also an extremely complex link. In recent years, the e-commerce industry has shown explosive growth, and with it comes an increasing number of returns. Traditional return processing methods have gradually exposed a series of problems that need to be solved;

[0004] In the modern logistics and e-commerce industries, the packaging process is crucial. Traditional packaging methods lack effective use of data and rely more on manual experience to judge the packaging quantity, size and selection of packaging materials. This not only leads to waste of resources, such as packaging materials that are too large or too small, but also affects packaging efficiency and cost control. At the same time, in the face of massive orders, if the appropriate packaging data cannot be obtained quickly and accurately, the system computing burden will increase and delays will easily occur. Moreover, manual operations cannot ensure the consistency and optimality of packaging data and cannot meet the rapidly growing business needs. Summary of the invention

[0005] The technical problem to be solved by the present invention is that the existing traditional packaging method lacks effective use of data and mostly relies on manual experience to judge the packaging quantity, size and selection of packaging materials, which not only leads to waste of resources, but also affects packaging efficiency and cost control. At the same time, in the face of massive orders, if the appropriate packaging data cannot be obtained quickly and accurately, the system computing burden will increase and delays will easily occur. Moreover, manual operation is difficult to ensure the consistency and optimality of packaging data, and cannot meet the rapidly developing business needs.

[0006] To solve the above problems, the technical solution adopted by the present invention is a packaging data management system and a digitized packaging method, comprising the following steps:

[0007] S1: Determine the optimal packing data, including data collection and collation, data analysis and mining, and establishment of a packing data model. The data collection and collation system needs to comprehensively collect historical order data, including detailed information such as commodity types, quantities, sizes, weights, etc., and at the same time integrate the specifications and cost data of different packaging materials in the inventory. Data analysis and mining is to use data analysis algorithms to deeply mine the historical order data to find out the occurrence frequencies of different types of commodity combinations and their corresponding optimal packing methods. The establishment of the packing data model is based on the data analysis results to establish a packing data model that can predict the optimal packing data according to the commodity combination of a new order, including the packing quantity, size, and recommended packaging materials.

[0008] S2: Determine the packing parameters, which need to determine parameters including packing quantity, packing size, and recommended packaging materials. The packing quantity is determined based on the quantity and compatibility of the commodities in the order, combined with the packing data model, to determine a reasonable packing quantity. The packing size is to calculate the optimal packing size according to the commodity size information using an algorithm to ensure high space utilization and the safety of the commodities during transportation. The recommended packaging materials are to comprehensively consider the packing size, commodity weight, cost, and transportation requirements to recommend the most suitable packaging materials from the inventory packaging materials.

[0009] S3: Manually optimize the packing data, including a visual interface, manual adjustment, and feedback. The visual interface provides an intuitive visual interface for operators, enabling them to conveniently view and adjust the packing data generated by the system. Manual adjustment and feedback mean that when the packing data generated by the system does not meet the actual requirements, the operator can manually adjust the packing quantity, size, or replace the recommended packaging materials.

[0010] S4: Special symbol query mechanism, including special symbol generation, quick query, and retrieval. Special symbol generation is that the system generates a unique special symbol according to the key information in the order data. Quick query and retrieval mean that when querying the packing data, the system can quickly retrieve the corresponding packing data from the packing database by identifying the special symbol.

[0011] The advantages of the present invention compared with the prior art are as follows: (1) Cost reduction: By scientifically determining the packing parameters, reducing packaging material waste, optimizing transportation costs, and improving the overall economic efficiency; (2) Efficiency improvement: The fast and accurate generation and query mechanism of packing data speeds up the order processing speed and improves the packing operation efficiency; (3) Enhanced flexibility: The manual optimization function enables the system to adapt to various special situations and personalized requirements and meet the requirements of different customers; (4) Data-driven optimization: The system continuously accumulates and analyzes data, continuously optimizes the packing data model, and improves the quality of the packing plan; (5) System performance optimization: The special symbol query mechanism effectively reduces the system operation burden and ensures that the system can still operate stably and efficiently under high concurrency. Detailed implementation mode

[0012] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0013] The present invention provides a technical solution: to solve the existing problems proposed in the background technology.

[0014] The present invention includes the following steps:

[0015] S1: Determine the optimal packing data. The system collects and collates a large amount of historical order data, including information such as the types, quantities, sizes, and weights of the goods in the orders. At the same time, integrate other relevant data within the system, such as the specifications and costs of different packaging materials in the inventory.

[0016] Use data analysis algorithms to deeply mine the historical order data. For example, count the occurrence frequencies of different types of product combinations, analyze their corresponding optimal packing methods, and establish a packing data model based on this. Through model prediction, determine the optimal packing data for new orders.

[0017] S2: Determine the packing parameters. The parameters to be determined include the packing quantity, packing size, and packaging material recommendation. The packing quantity is determined based on the quantity of goods in the order and the compatibility between the goods, combined with the optimal packing data, to determine the most reasonable number of packages for packing the goods. Avoid cost increases or transportation risks caused by excessive splitting or centralized packing. The packing size is calculated using an algorithm based on the size information of the goods to obtain a packing size that can accommodate the goods and has a high space utilization rate. At the same time, consider the buffering requirements during transportation to ensure the safety of the goods during transportation. The packaging material recommendation refers to the packing size, the weight of the goods, and cost factors, and recommends the most suitable packaging material from the inventory packaging materials. For example, recommend packaging materials with good buffering performance for fragile items; for goods with a large weight, select packaging materials with higher strength.

[0018] S3: Manually optimize the packing data. Provide an operator with a visual interface. When the packing data generated by the system does not meet the actual requirements, the operator can manually adjust the packing quantity, size, or replace the recommended packaging material.

[0019] The system records the operations and reasons for manual optimization and feeds them back to the data model to continuously optimize the subsequent generation of packing data.

[0020] S4: Special symbol query mechanism. The system generates a unique special symbol based on key information in the order data, such as product category, quantity, etc. This special symbol is used as an index to establish an association with the corresponding packing data. When it is necessary to query the packing data, the system can quickly retrieve the corresponding packing data from the packing database by identifying the special symbol, avoiding retrieving a large amount of data one by one and greatly improving the operation speed of the system.

[0021] The workflow of this application is as follows: First, data collection and preprocessing are carried out. Historical order data is collected, and historical order data including information such as product types, quantities, sizes, weights, etc. is exported from the order management system to ensure the integrity and accuracy of the data. Missing or abnormal data is cleaned and corrected. Inventory packaging material data is integrated, information such as the specifications, costs, and performance of different packaging materials in the inventory is collected, and a packaging material database is established to facilitate subsequent queries and recommendations.

[0022] Then, data analysis and model establishment are carried out. Data analysis: Data analysis algorithms are used to deeply mine the historical order data to analyze the occurrence frequencies of different types of product combinations and their corresponding optimal packing methods. A packing data model is established. Based on the data analysis results, a packing data model is established, and the model should be able to predict the optimal packing data for new orders, including packing quantities, sizes, and packaging material recommendations, etc.

[0023] Then, packing parameters are determined and recommended. Determine the packing quantity: According to the quantity and compatibility of the products in the order, combined with the packing data model, a reasonable packing quantity is determined. Calculate the packing size: Use algorithms (such as three-dimensional bin packing algorithms) to calculate the optimal packing size based on the product size information, considering the buffer requirements during transportation to ensure the safety of the products during transportation. Recommend packaging materials: Considering the packing size, product weight, cost, and transportation requirements comprehensively, the most suitable packaging materials are recommended from the inventory packaging materials.

[0024] Then, manual optimization and confirmation are carried out. Provide a visual interface: Provide an intuitive visual interface for operators to display the packing data generated by the system. Manual adjustment and optimization: When the packing data generated by the system does not meet the actual requirements, operators can manually adjust the packing quantity, size, or replace the recommended packaging materials, and record the operations and reasons for manual optimization for subsequent model optimization. Confirm the packing plan: Operators confirm the final packing plan to ensure that the plan meets the actual requirements.

[0025] Finally, packing execution and tracking are carried out. Execute the packing operation: According to the confirmed packing plan, execute the packing operation, and use the recommended packaging materials for packing to ensure the packing quality and efficiency. Track the logistics information: Communicate with the logistics company to ensure the timeliness and safety of logistics distribution, track the logistics information, and update the order status in a timely manner.

[0026] The above describes the present invention and its implementation manners. Such description is not restrictive, and the actual structure is not limited thereto. Generally speaking, if those of ordinary skill in the art are inspired by it and, without departing from the gist of the present invention creation, design similar structural manners and embodiments to this technical solution without creative efforts, they shall fall within the protection scope of the present invention.

Claims

1. A packaging data management system and a digitized packaging method, characterized in that: The following steps are involved: S1: Determine the optimal packaged data, including data collection and organization, data analysis and mining, and packaged data model establishment; S2: Determine the packaging parameters, including the packaging quantity, packaging size, and packaging material recommendations; S3: Manual optimization of packaging data, including visualization interface, manual adjustment and feedback; S4: Special symbol query mechanism, including special symbol generation, fast query and retrieval.

2. A packaging data management system and a digitized packaging method according to claim 1, characterized in that: The data collection and organization in step S1 is as follows: the system needs to comprehensively collect historical order data, including detailed information such as product type, quantity, size, weight, etc., and integrate the specifications and cost data of different packaging materials in inventory.

3. A packaging data management system and a digitized packaging method according to claim 1, characterized in that: The data analysis and mining in step S1 is to use data analysis algorithms to conduct in-depth mining of historical order data to find out the frequency of occurrence of different types of product combinations and their corresponding optimal packaging methods.

4. A packaging data management system and a digitized packaging method according to claim 1, characterized in that: The packaging data model established in step S1 is based on the data analysis results to establish a packaging data model, which can predict better packaging data according to the product combination of the new order, including packaging quantity, size and packaging material recommendations.

5. A packaging data management system and a digitized packaging method according to claim 1, characterized in that: The packing quantity in step S2 is determined based on the quantity and compatibility of the goods in the order and the packing data model to determine a reasonable packing quantity; The packing size is calculated by an algorithm based on the product size information to find the optimal packing size, ensuring high space utilization and product safety during transportation; Packaging material recommendations are based on comprehensive consideration of packaging size, product weight, cost, and transportation requirements, and the most suitable packaging material is recommended from the inventory.

6. A packaging data management system and a digitized packaging method according to claim 1, characterized in that: The visualization interface in the S3 step provides an intuitive visualization interface for the operator, so that the operator can easily view and adjust the packaging data generated by the system; manual adjustment and feedback means that when the packaging data generated by the system does not meet the actual needs, the operator can manually adjust the packaging quantity, size or replace the recommended packaging material.

7. A packaging data management system and a digitized packaging method according to claim 1, characterized in that: The special symbol generation in the S4 step is that the system generates a unique special symbol based on the key information in the order data; when it is necessary to query the packaging data, the system can quickly retrieve the corresponding packaging data from the packaging database by identifying the special symbols.