CN117236818A - Logistics management system for E-commerce service - Google Patents
Logistics management system for E-commerce service Download PDFInfo
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- CN117236818A CN117236818A CN202311340096.1A CN202311340096A CN117236818A CN 117236818 A CN117236818 A CN 117236818A CN 202311340096 A CN202311340096 A CN 202311340096A CN 117236818 A CN117236818 A CN 117236818A
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- 238000007726 management method Methods 0.000 claims abstract description 64
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- 238000007405 data analysis Methods 0.000 claims abstract description 7
- 238000005516 engineering process Methods 0.000 claims abstract description 5
- 230000007246 mechanism Effects 0.000 claims abstract description 5
- 238000004519 manufacturing process Methods 0.000 claims description 33
- 238000012384 transportation and delivery Methods 0.000 claims description 25
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Abstract
The invention provides a logistics management system for e-commerce services, which comprises an order management module, a warehouse management module, a transportation management module and a data analysis module. By introducing an automatic mechanism and technology, the logistics management system reduces manual operation, improves working efficiency and reduces error rate. Through real-time data acquisition and transmission, timely update and synchronization of logistics information are ensured, so that the instant requirement of customers is met. Intelligent algorithms and optimization techniques are applied to provide intelligent decision support in route planning, inventory management, and transportation scheduling to achieve resource optimization and cost effectiveness. The system has flexible architecture and configurable modules, can adapt to different types, scales and special requirements of e-commerce services, and realizes a personalized logistics management scheme.
Description
Technical Field
The invention relates to the field of logistics management, in particular to a logistics management system for e-commerce services.
Background
In the rapid development of the electronic commerce industry, logistics management becomes a key link. The e-commerce industry is challenged to handle complex tasks such as large numbers of orders, inventory management, shipping arrangements, and logistics tracking. To solve these problems and provide efficient logistics service, we propose an innovative logistics management system for e-commerce services. The conventional logistics management system can meet the daily business requirements to a certain extent, but has some limitations. Conventional logistics management systems often face the following problems:
based on manual operation: many of the operations of conventional logistics management systems still rely on manual processes, resulting in low work efficiency, high error rates, and susceptibility to human factors.
The information is not real-time: the traditional logistics management system has a certain delay in the aspects of information updating and transmission, so that logistics information is not synchronous with actual conditions, and instant demands of customers are difficult to meet.
Lack of intelligence and optimization functions: conventional logistics management systems lack intelligence and optimization functionality in route planning, inventory management, and transportation scheduling, making optimal resource utilization and cost effectiveness difficult.
It is difficult to accommodate diversified e-commerce service requirements: with the continuous development of e-commerce services, the logistics requirements are increasingly diversified. Traditional logistics management systems often have difficulty flexibly adapting to and meeting e-commerce services of different types, scales and special requirements.
Based on the above background, we propose a new logistics management system for e-commerce services, which aims to solve various problems faced by the conventional logistics management system.
Disclosure of Invention
The invention aims to provide a technical scheme capable of solving various problems faced by the traditional logistics management system.
In order to achieve the above object, the present invention provides the following solutions:
a logistics management system for e-commerce services, comprising:
the order management module is used for receiving and processing the order request of the customer;
the warehouse management module is used for managing and tracking the state and the position of the warehouse;
a transportation management module for scheduling and tracking the transportation and delivery schedule of goods;
the route optimization module is used for planning an optimal path and a transportation scheme;
and the data analysis module is used for collecting, analyzing and reporting the key business indexes and the transportation performance data.
Optionally, the order management module further includes the following functions:
receiving and verifying customer order details;
allocating appropriate warehouse and inventory locations to meet the order requirements;
the intelligent algorithm is applied to ERP software, and the required quantity and the required time of each item of each order are automatically and quickly matched through the dynamically changed physical inventory quantity, the non-delivery quantity of the order, the available inventory quantity, the on-transit quantity of the manufacture and the net inventory data, so that the order delivery period is judged in the shortest time, and the quick response to the customer is realized;
tracking order status and providing real-time updates to customers.
Optionally, the warehouse management module further includes the following functions:
managing and tracking inventory quantities and locations;
providing real-time inventory updating and alarming functions;
the inventory layout is optimized to improve warehouse efficiency.
Optionally, the transportation management module further includes the following functions:
scheduling appropriate transportation means and transportation service providers;
tracking real-time transportation status and location of cargo;
and providing real-time logistics information and express tracking service for clients.
Optionally, the route optimization module further includes the following functions:
planning an optimal path and a transportation scheme based on the transportation demand and the geographic condition;
traffic congestion, route restrictions and transportation cost optimisation are considered.
Optionally, the data analysis module further includes the following functions:
collecting and storing key business indexes and transportation performance data;
the transportation report is analyzed and generated to support decision making.
Optionally, the system further comprises a user interface for monitoring and operating each functional module of the system in real time.
Optionally, a security mechanism is further included to ensure confidentiality and integrity of data and transactions.
Optionally, the intelligent algorithm specifically includes:
after the customer orders, the product will form dynamic data of several states: entity balance, manufacturing process, entity balance, upper-period balance and manufacturing process;
when receiving an order, if the real object balance is larger than the number of the order, the order can be shipped at any time, the order review is passed, the delivery period is the same day or the next day, and after the order review is passed, the state of the order is the order to be shipped;
physical balance-to-order = available inventory, physical balance-to-order + manufacturing process = net inventory;
if the available inventory is insufficient, the existing order delivery date will be overdue;
if the available inventory is insufficient, but the net inventory is also used for indicating that part or all production batches in the process of manufacturing are required to be quickly put in storage, the existing order delivery period can be ensured not to be overdue;
the net inventory is insufficient, which means that the actual object balance and the manufacturing process are smaller than the total quantity of the order to be sent, and the order is owed and the manufacturing order needs to be immediately supplemented;
when one or more order takers continue to take new orders, all orders are sequentially numbered in sequence, and waiting for a review in an order draft box;
when the available stock is larger than or equal to the product demand number of the next order number, the available stock is in stock, and the delivery period is the same day;
when the available stock is smaller than the required quantity of the product, the available stock is used for showing that part of stock is present, and the other part of stock is required to be manufactured and put in the way to meet the order, and the corresponding production plan put in the stock batch date is the shippable date of the product;
when the available stock is smaller than the order number, the product representing the order number is partially in stock, has department manufacturing in the way, and needs to issue a new manufacturing instruction;
and (3) repeating the previous steps for each product under each order number, rapidly and accurately calculating the exchange period by the ERP system, writing an order interface in software by the calculated exchange period, enabling an order taker to see in time, combining other information such as the in-place condition of the goods money, the credit condition of the customer and the like, comprehensively evaluating by the order taker, replying to the customer exchange period, entering the two-party contracted exchange period on the order after consensus with the customer is achieved, and enabling the order review to pass.
Optionally, the planning optimal path and the transportation scheme include:
route planning based on real-time data: the logistics system collects real-time data including the number of goods, the destination and the traffic condition, uses intelligent algorithms and optimization models, and the system analyzes the data to determine the optimal logistics route and transportation scheme so as to minimize the total transportation cost and time;
multimode transportation planning: the system considers different transportation modes including land, aviation, railway and sea transportation, determines the optimal transportation mode according to the type of goods, the distance and the delivery time limit, and realizes the balance of cost and time efficiency by reasonably combining the transportation modes;
line integration and transport combining: the logistics system optimizes the transportation route by integrating and combining cargoes, reduces no-load and half-load transportation, and improves the loading rate and benefit;
dynamic scheduling and path optimization: the system monitors traffic conditions and cargo states in the transportation process in real time, and dynamically adjusts a transportation plan according to feedback information;
load balancing and dispatch scheduling: the system balances cargo loads among different areas and optimizes a distribution plan according to requirements and benefits; the efficiency is improved to the greatest extent by utilizing order centralized processing, transfer station optimization, quick distribution technology and the like, and unnecessary transportation is reduced;
sustainable logistics scheme: the system optimizes the logistics route and the transportation scheme, and takes environmental protection and sustainability into consideration; by means of strategies such as minimizing the transportation distance, using an environment-friendly transportation mode, reducing carbon emission and the like, sustainable logistics management is achieved, and the influence on the environment is reduced.
Compared with the prior art, the technical scheme provided by the invention has the following beneficial effects:
and (3) automation operation: by introducing an automatic mechanism and technology, the logistics management system reduces manual operation, improves working efficiency and reduces error rate.
Updating real-time information: the logistics management system ensures the timely update and synchronization of logistics information through real-time data acquisition and transmission so as to meet the instant demands of customers.
Intelligent and optimizing functions: the logistics management system applies intelligent algorithms and optimization techniques to provide intelligent decision support in route planning, inventory management and transportation scheduling to achieve resource optimization and cost effectiveness.
Elasticity and adaptability: the logistics management system has a flexible architecture and configurable modules, can adapt to different types, scales and special requirements of e-commerce services, and realizes a personalized logistics management scheme.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a logistics management system for e-commerce services according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of an optimal path and a transportation scheme plan flow provided by an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention aims to provide a scheme capable of solving various problems faced by the traditional logistics management system.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
Example 1:
the embodiment provides a logistics management system of an e-commerce service, which comprises:
the order management module is used for receiving and processing the order request of the customer;
the warehouse management module is used for managing and tracking the state and the position of the warehouse;
a transportation management module for scheduling and tracking the transportation and delivery schedule of goods;
the route optimization module is used for planning an optimal path and a transportation scheme;
and the data analysis module is used for collecting, analyzing and reporting the key business indexes and the transportation performance data.
Further, the order management module further includes the following functions:
receiving and verifying customer order details;
allocating appropriate warehouse and inventory locations to meet the order requirements;
the intelligent algorithm is applied to ERP software, and the required quantity and the required time of each item of each order are automatically and quickly matched through the dynamically changed physical inventory quantity, the non-delivery quantity of the order, the available inventory quantity, the on-transit quantity of the manufacture and the net inventory data, so that the order delivery period is judged in the shortest time, and the quick response to the customer is realized;
tracking order status and providing real-time updates to customers.
Further, the warehouse management module further includes the following functions:
managing and tracking inventory quantities and locations;
providing real-time inventory updating and alarming functions;
the inventory layout is optimized to improve warehouse efficiency.
Further, the transportation management module further includes the following functions:
scheduling appropriate transportation means and transportation service providers;
tracking real-time transportation status and location of cargo;
and providing real-time logistics information and express tracking service for clients.
Further, the route optimization module further includes the following functions:
planning an optimal path and a transportation scheme based on the transportation demand and the geographic condition;
traffic congestion, route restrictions and transportation cost optimisation are considered.
Further, the data analysis module further includes the following functions:
collecting and storing key business indexes and transportation performance data;
the transportation report is analyzed and generated to support decision making.
Further, the system further comprises a user interface for monitoring and operating each functional module of the system in real time.
Further, a security mechanism is further included to ensure confidentiality and integrity of data and transactions.
Further, the intelligent algorithm specifically includes:
after the customer orders, the product will form dynamic data of several states: entity balance, manufacturing process, entity balance, upper-period balance and manufacturing process;
when receiving an order, if the real object balance is larger than the number of the order, the order can be shipped at any time, the order review is passed, the delivery period is the same day or the next day, and after the order review is passed, the state of the order is the order to be shipped;
physical balance-to-order = available inventory, physical balance-to-order + manufacturing process = net inventory;
if the available inventory is insufficient, the existing order delivery date will be overdue;
if the available inventory is insufficient, but the net inventory is also used for indicating that part or all production batches in the process of manufacturing are required to be quickly put in storage, the existing order delivery period can be ensured not to be overdue;
the net inventory is insufficient, which means that the actual object balance and the manufacturing process are smaller than the total quantity of the order to be sent, and the order is owed and the manufacturing order needs to be immediately supplemented;
when one or more order takers continue to take new orders, all orders are sequentially numbered in sequence, and waiting for a review in an order draft box;
when the available stock is larger than or equal to the product demand number of the next order number, the available stock is in stock, and the delivery period is the same day;
when the available stock is smaller than the required quantity of the product, the available stock is used for showing that part of stock is present, and the other part of stock is required to be manufactured and put in the way to meet the order, and the corresponding production plan put in the stock batch date is the shippable date of the product;
when the available stock is smaller than the order number, the product representing the order number is partially in stock, has department manufacturing in the way, and needs to issue a new manufacturing instruction;
and (3) repeating the previous steps for each product under each order number, rapidly and accurately calculating the exchange period by the ERP system, writing an order interface in software by the calculated exchange period, enabling an order taker to see in time, combining other information such as the in-place condition of the goods money, the credit condition of the customer and the like, comprehensively evaluating by the order taker, replying to the customer exchange period, entering the two-party contracted exchange period on the order after consensus with the customer is achieved, and enabling the order review to pass.
Further, the planned optimal path and transportation scheme includes:
route planning based on real-time data: the logistics system collects real-time data including the number of goods, destination, traffic conditions, etc. Using intelligent algorithms and optimization models, the system analyzes these data to determine the optimal logistics routes and transportation schemes to minimize the total transportation costs and time.
Multimode transportation planning: the system considers different transportation modes, such as land, aviation, railway, sea, etc., and determines the optimal transportation mode according to the factors of the cargo type, distance, delivery period, etc. By reasonably combining the transportation modes, the balance between cost and aging is realized.
Line integration and transport combining: the logistics system optimizes the transportation route by integrating and combining cargoes, reduces no-load and half-load transportation, and improves the loading rate and benefit. This can be achieved by sharing and centralizing the delivery of goods, reducing transportation costs and reducing environmental impact.
Dynamic scheduling and path optimization: the system monitors traffic conditions and cargo states in the transportation process in real time, and dynamically adjusts the transportation plan according to feedback information. Through the flexibility of path optimization and transportation scheduling, the system can quickly adapt to changing traffic conditions and special requirements.
Load balancing and dispatch scheduling: the system balances cargo loads among different areas and optimizes the distribution plan according to requirements and benefits. And the efficiency is improved to the greatest extent by utilizing order centralized processing, transfer station optimization, quick distribution technology and the like, and unnecessary transportation is reduced.
Sustainable logistics scheme: the system optimizes logistics routes and transportation schemes, and takes environmental protection and sustainability into consideration. By means of strategies such as minimizing the transportation distance, using an environment-friendly transportation mode, reducing carbon emission and the like, sustainable logistics management is achieved, and the influence on the environment is reduced.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.
Claims (10)
1. A logistics management system for an e-commerce service, comprising:
the order management module is used for receiving and processing the order request of the customer;
the warehouse management module is used for managing and tracking the state and the position of the warehouse;
a transportation management module for scheduling and tracking the transportation and delivery schedule of goods;
the route optimization module is used for planning an optimal path and a transportation scheme;
and the data analysis module is used for collecting, analyzing and reporting the key business indexes and the transportation performance data.
2. The e-commerce service logistics management system of claim 1, wherein the order management module further comprises the functions of:
receiving and verifying customer order details;
allocating appropriate warehouse and inventory locations to meet the order requirements;
the intelligent algorithm is applied to ERP software, and the required quantity and the required time of each item of each order are automatically and quickly matched through the dynamically changed physical inventory quantity, the non-delivery quantity of the order, the available inventory quantity, the on-transit quantity of the manufacture and the net inventory data, so that the order delivery period is judged in the shortest time, and the quick response to the customer is realized;
tracking order status and providing real-time updates to customers.
3. The e-commerce service logistics management system of claim 1, wherein the warehouse management module further comprises the functions of:
managing and tracking inventory quantities and locations;
providing real-time inventory updating and alarming functions;
the inventory layout is optimized to improve warehouse efficiency.
4. The e-commerce service logistics management system of claim 1, wherein the transportation management module further comprises the functions of:
scheduling appropriate transportation means and transportation service providers;
tracking real-time transportation status and location of cargo;
and providing real-time logistics information and express tracking service for clients.
5. The e-commerce service logistics management system of claim 1, wherein the route optimization module further comprises the functions of:
planning an optimal path and a transportation scheme based on the transportation demand and the geographic condition;
traffic congestion, route restrictions and transportation cost optimisation are considered.
6. The e-commerce service logistics management system of claim 1, wherein the data analysis module further comprises the functions of:
collecting and storing key business indexes and transportation performance data;
the transportation report is analyzed and generated to support decision making.
7. The e-commerce service logistics management system of claim 1, further comprising a user interface for monitoring and operating the respective functional modules of the system in real time.
8. The e-commerce service logistics management system of claim 1, further comprising a security mechanism to ensure confidentiality and integrity of data and transactions.
9. The e-commerce service logistics management system of claim 2, wherein the intelligent algorithm comprises:
after the customer orders, the product will form dynamic data of several states: entity balance, manufacturing process, entity balance, upper-period balance and manufacturing process;
when receiving an order, if the real object balance is larger than the number of the order, the order can be shipped at any time, the order review is passed, the delivery period is the same day or the next day, and after the order review is passed, the state of the order is the order to be shipped;
physical balance-to-order = available inventory, physical balance-to-order + manufacturing process = net inventory;
if the available inventory is insufficient, the existing order delivery date will be overdue;
if the available inventory is insufficient, but the net inventory is also used for indicating that part or all production batches in the process of manufacturing are required to be quickly put in storage, the existing order delivery period can be ensured not to be overdue;
the net inventory is insufficient, which means that the actual object balance and the manufacturing process are smaller than the total quantity of the order to be sent, and the order is owed and the manufacturing order needs to be immediately supplemented;
when one or more order takers continue to take new orders, all orders are sequentially numbered in sequence, and waiting for a review in an order draft box;
when the available stock is larger than or equal to the product demand number of the next order number, the available stock is in stock, and the delivery period is the same day;
when the available stock is smaller than the required quantity of the product, the available stock is used for showing that part of stock is present, and the other part of stock is required to be manufactured and put in the way to meet the order, and the corresponding production plan put in the stock batch date is the shippable date of the product;
when the available stock is smaller than the order number, the product representing the order number is partially in stock, has department manufacturing in the way, and needs to issue a new manufacturing instruction;
and (3) repeating the previous steps for each product under each order number, rapidly and accurately calculating the exchange period by the ERP system, writing an order interface in software by the calculated exchange period, enabling an order taker to see in time, combining other information such as the in-place condition of the goods money, the credit condition of the customer and the like, comprehensively evaluating by the order taker, replying to the customer exchange period, entering the two-party contracted exchange period on the order after consensus with the customer is achieved, and enabling the order review to pass.
10. The e-commerce service logistics management system of claim 1, wherein the planned optimal path and transportation scheme comprises:
route planning based on real-time data: the logistics system collects real-time data including the number of goods, the destination and the traffic condition, uses intelligent algorithms and optimization models, and the system analyzes the data to determine the optimal logistics route and transportation scheme so as to minimize the total transportation cost and time;
multimode transportation planning: the system considers different transportation modes including land, aviation, railway and sea transportation, determines the optimal transportation mode according to the type of goods, the distance and the delivery time limit, and realizes the balance of cost and time efficiency by reasonably combining the transportation modes;
line integration and transport combining: the logistics system optimizes the transportation route by integrating and combining cargoes, reduces no-load and half-load transportation, and improves the loading rate and benefit;
dynamic scheduling and path optimization: the system monitors traffic conditions and cargo states in the transportation process in real time, and dynamically adjusts a transportation plan according to feedback information;
load balancing and dispatch scheduling: the system balances cargo loads among different areas and optimizes a distribution plan according to requirements and benefits; the efficiency is improved to the greatest extent by utilizing order centralized processing, transfer station optimization, quick distribution technology and the like, and unnecessary transportation is reduced;
sustainable logistics scheme: the system optimizes the logistics route and the transportation scheme, and takes environmental protection and sustainability into consideration; by means of strategies such as minimizing the transportation distance, using an environment-friendly transportation mode, reducing carbon emission and the like, sustainable logistics management is achieved, and the influence on the environment is reduced.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117649116A (en) * | 2024-01-30 | 2024-03-05 | 青岛大数据科技发展有限公司 | Big data logistics management system |
| CN117649116B (en) * | 2024-01-30 | 2024-04-16 | 青岛大数据科技发展有限公司 | Big data logistics management system |
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2023
- 2023-10-17 CN CN202311340096.1A patent/CN117236818A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117649116A (en) * | 2024-01-30 | 2024-03-05 | 青岛大数据科技发展有限公司 | Big data logistics management system |
| CN117649116B (en) * | 2024-01-30 | 2024-04-16 | 青岛大数据科技发展有限公司 | Big data logistics management system |
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