CN111460082A - Multi-dimensional fresh express packaging strategy system and implementation method thereof - Google Patents
Multi-dimensional fresh express packaging strategy system and implementation method thereof Download PDFInfo
- Publication number
- CN111460082A CN111460082A CN202010238367.2A CN202010238367A CN111460082A CN 111460082 A CN111460082 A CN 111460082A CN 202010238367 A CN202010238367 A CN 202010238367A CN 111460082 A CN111460082 A CN 111460082A
- Authority
- CN
- China
- Prior art keywords
- information
- order
- module
- packaging
- strategy
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004806 packaging method and process Methods 0.000 title claims abstract description 51
- 238000000034 method Methods 0.000 title claims description 8
- 238000009826 distribution Methods 0.000 claims abstract description 12
- 238000012545 processing Methods 0.000 claims abstract description 10
- 238000013500 data storage Methods 0.000 claims abstract description 8
- 238000004519 manufacturing process Methods 0.000 claims abstract description 6
- 238000003860 storage Methods 0.000 claims abstract description 6
- 239000005022 packaging material Substances 0.000 claims abstract description 3
- 238000004422 calculation algorithm Methods 0.000 claims description 14
- 238000004364 calculation method Methods 0.000 claims description 9
- 239000003507 refrigerant Substances 0.000 claims description 9
- 239000000047 product Substances 0.000 claims description 8
- 238000012552 review Methods 0.000 claims description 7
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims description 6
- 235000011089 carbon dioxide Nutrition 0.000 claims description 6
- 238000004321 preservation Methods 0.000 claims description 6
- 230000032683 aging Effects 0.000 claims description 4
- 238000013499 data model Methods 0.000 claims description 4
- 238000012790 confirmation Methods 0.000 claims description 2
- 238000011534 incubation Methods 0.000 claims description 2
- 238000009413 insulation Methods 0.000 claims description 2
- 230000010354 integration Effects 0.000 claims description 2
- 239000013589 supplement Substances 0.000 claims description 2
- 238000012821 model calculation Methods 0.000 claims 1
- 238000007726 management method Methods 0.000 abstract 1
- 230000009897 systematic effect Effects 0.000 abstract 1
- 239000006260 foam Substances 0.000 description 19
- 239000000463 material Substances 0.000 description 4
- 238000012856 packing Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 239000002826 coolant Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/31—Indexing; Data structures therefor; Storage structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/335—Filtering based on additional data, e.g. user or group profiles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0832—Special goods or special handling procedures, e.g. handling of hazardous or fragile goods
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Business, Economics & Management (AREA)
- Data Mining & Analysis (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Tourism & Hospitality (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
A multi-dimensional fresh express packaging strategy system comprises an information input module, a storage module and a display module, wherein the information input module is used for inputting order information; the data auditing module is used for confirming whether the input order information is complete; the data storage module is used for storing preset packaging scheme strategy information; the data processing module is used for analyzing the order information to obtain information such as order logistics, packaging materials, product categories and the like, and selecting a packaging scheme strategy; the data distribution module is used for distributing the matched order production and logistics information to the corresponding delivery warehouse; the data rechecking module is used for rechecking the contents of the commodity information before delivery and the input order generated after picking up the goods; and the order generating module generates the re-checked order and sends the order to the logistics for delivery. Has the advantages that: according to the invention, through systematic management, different transportation strategies are used for different fresh products, different transportation timeliness and different seasons, and the optimal packaging strategy for packaging fresh orders is recommended in real time.
Description
Technical Field
The invention relates to the field of E-commerce fresh food order packaging and logistics distribution, in particular to a multi-dimensional fresh food express packaging strategy system and an implementation method thereof.
Background
The fresh food order package and the common food package have essential differences, the biggest difference is that the fresh food materials are sent to the hands of users on the premise that the original freshness and taste of the fresh food materials are kept to the greatest extent in a specific temperature area and a specific time efficiency, if the fresh food materials are thawed or over-heated in the transportation process, the food materials are deteriorated, and the customer complaint rate is improved. In order to improve the purchasing experience of a user and reduce the operation cost, multidimensional analysis is carried out on order commodity attributes to determine the use of different packaging consumables, the consideration of the dimensionalities comprises fresh commodity categories, a distribution temperature area, the current season, a delivery warehouse, distribution logistics merchants, a transportation mode and heat preservation aging 7-dimensional data, an optimal packaging scheme is recommended by combining a 7-dimensional factor and a packaging strategy expert model for reference of a warehouse operator, the situation that the same-product and same-quantity orders are packaged and distributed by using different packaging strategies due to the fact that consumables such as foam box models and the number of refrigerants are selected only through experience is avoided, the account cost of the same-product and the same-quantity orders is reduced, and the receiving experience of the user.
The existing fresh express delivery scheme is generally only fixed, and only summer and winter are distinguished. No distinction is made between categories. Factors such as different cost and different seasons caused by different schemes of different requirements of different types of fresh products and different use of transportation time efficiency are not considered.
Disclosure of Invention
In order to solve the problems, the invention provides a multi-dimensional fresh express packaging strategy system,
the system comprises an information input module, a data auditing module, a data storage module, a data processing module, a data distribution module, a data rechecking module and an order generating module;
the information input module is used for inputting order information;
the data auditing module is used for confirming whether the input order information is complete;
the data storage module is used for storing preset packaging scheme strategy information;
the data processing module is used for analyzing the order information to obtain information such as order logistics, packaging materials, product categories and the like, and selecting a packaging scheme strategy;
the data distribution module is used for distributing the matched order production and logistics information to the corresponding delivery warehouse;
the data rechecking module is used for rechecking the contents of the commodity information before delivery and the input order after the picking is finished;
and the order generation module generates the re-checked order and sends the order to the logistics to start delivery.
Further, the information to be entered by the information entry module includes a commodity name, a commodity number, and a commodity storage temperature.
Further, the package model recommendation information is a historical order comparison strategy, a real-time calculation strategy or a recent same strategy.
Further, the packaging scheme strategy information comprises a packaging model, a fresh product type, delivery timeliness, a delivery temperature area, a current season, a delivery warehouse, a delivery logistics provider, a transportation mode, heat preservation timeliness and refrigerant attributes.
Further, the data review module comprises a review scanning trigger, a review confirmation querier and a wms system integration.
Further, the calculation formula of the package model is as follows:
(type) total volume is commodity number + ice bag number + dry ice number + incubation bag presence/absence.
An implementation method of a multi-dimensional fresh express packaging strategy system comprises the following steps:
step 1, obtaining order information, wherein the order information comprises commodity names, commodity quantity and address information;
step 2, confirming whether the input order information is complete or not, if not, giving a supplement prompt;
step 3, selecting a packaging scheme strategy to obtain the packaging model, the number of ice bags, the number of dry ice and the number of thermal insulation bags according with the input complete order information;
step 4, the system checks and sends the confirmed order to a corresponding picking warehouse;
and 5, the order data is packaged and delivered after the goods picking warehouse rechecks.
Further, if the order information is not matched with the standard information in the step 3, the largest packing box model in the order information range is selected.
Further, the package type recommendation of the step 3 is one of a comparison algorithm with a historical order module, a real-time calculation data model algorithm or a recent same package strategy recommendation algorithm.
Drawings
FIG. 1 is a flowchart of a historical order comparison algorithm;
FIG. 2 is a flow chart of a real-time calculation data algorithm;
FIG. 3 is a flow chart of the weighting logic;
fig. 4 is a schematic diagram of a data review algorithm.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further explained by combining the specific embodiments of the attached drawings.
Example 1
A data storage comparison strategy flow chart, wherein order information is input in an information input module, a data auditing module confirms whether the input order information is complete, if the input order information is incomplete, the order information is returned, if the information is complete, the data processing module analyzes the order information, the order information comprises commodity name, commodity quantity, address information and other information, a data storage comparison strategy is selected, the data storage module calls a preset packaging scheme strategy in storage, the available packaging box model and refrigerant information in the packaging scheme are obtained, the packaging model of the order is calculated and matched with the minimum model in the scheme, if the packaging model is matched, the order is generated, if the order is not matched and matched with the next model, if all the preset models are not matched, the maximum model is selected and then the order is generated, and a data distribution module distributes the matched order production and logistics information to a corresponding delivery warehouse, the data rechecking module is used for rechecking the contents of order information before picking up the goods, generating the order information before dispatching and inputting the order, and the order generating module is used for generating the order after rechecking and dispatching the order and starting dispatching the order with logistics.
As shown in fig. 1, order information is obtained, where the order information includes parameters such as a commodity name, a commodity quantity, and address information, and a historical data model is constructed according to a week dimension through supply chain historical order data.
Historical order form model (order SKU form + coolant form): 1700005273@1|1700005542@1|1700005271@1| BAG @0.1000| ICE @3.2500| BOX @ 1; historical order volume model (order SKU total volume + refrigerant total volume): 3.14| BOX @ 3;
analyzing the order attributes including the commodity secondary class, the distribution temperature area, the order delivery warehouse, the current season, the distribution logistics trader, the transportation mode and the heat preservation aging, and matching the packaging model data through 7 dimensions, wherein the scheme can correspond to more than 2 schemes (a foam box model and a refrigerant information list). And solving intersection through the order form and the historical data model, if the intersection is not empty, selecting the foam box with the minimum model, and if the intersection is empty, selecting the foam box with the maximum model.
Example 2
Calculating a strategy flow chart in real time, inputting order information in an information input module, confirming whether the input order information is complete or not by a data auditing module, if the information is complete, returning the order information, if the information is incomplete, entering the next step, analyzing the order information by a data processing module, wherein the order information comprises information such as commodity names, commodity quantity, address information, packaging types, fresh products, delivery aging, delivery temperature areas and the like, calculating the maximum length of the order by the data processing module, comparing the maximum length of the order with the inner size of a packaging box, if the maximum length of the order is matched, calculating the total volume by a packaging type calculation formula (total volume is commodity quantity + ice bag quantity + dry ice quantity + heat preservation bag presence/absence), matching the volume of the packaging box, if the total volume is matched, distributing the matched order production and logistics information to a corresponding delivery warehouse by a data distributing module, and completing the picking by a data rechecking module, generating order information before dispatching and inputting orders to carry out content rechecking, generating the rechecked orders by an order generating module, and sending the orders to logistics for dispatching; and if the length and the volume calculated by the data processing module are not matched, selecting the packing box with the largest volume.
As shown in fig. 2, a logic flow diagram for real-time volume calculation. Obtaining order information, wherein the order information comprises parameters such as commodity names, commodity quantity, ice bag quantity, dry ice quantity, freshness bag quantity and the like, checking the commodity volume and commodity volume coefficient basic data, and assigning a whole-network commodity volume average coefficient if the order information is empty. And checking the maximum length of the commodity specification in the order with the long edge of the inner dimension of the foam box, if the maximum length of the commodity specification in the order is not matched with the long edge of the inner dimension of the foam box, selecting the model of the foam box with the maximum long edge of the inner dimension, and if the maximum length of the commodity specification in the order is matched with the long edge of.
Example 3
The recent same strategy flow chart is that order information is input in an information input module, a data auditing module confirms whether the input order information is complete, if the input order information is incomplete, the order information is returned to return to the next step, if the information is complete, a data processing module analyzes the order information, the order information comprises information such as a packaging model, a fresh product type, a delivery timeliness, a delivery temperature area, a current season, a delivery warehouse, a delivery logistics provider, a transportation mode, a heat preservation timeliness and a refrigerant attribute, and the like, according to the use condition of nearly 7 days, when the use condition data is more than 2 times or 2 times, the same or similar packing box strategies are selected, if the use condition is 0 or 1, other two strategies are called for matching, after the matching is successful, a data distribution module distributes the matched order production and logistics information to the corresponding delivery warehouse, and a data rechecking module finishes picking, generating order information before dispatching and inputting orders to carry out content recheck, and generating the rechecked orders by an order generating module and sending the orders to logistics to start dispatching.
FIG. 3 shows a flowchart of a recent strategy algorithm. The 3-dimensional data structures (x, wx '), (y, wy '), (z, wz ') are assembled as shown in the figure.
Wherein X is a historical order data training result obtained by an algorithm logic 1;
calculating the real-time volume calculation result of the algorithm logic 2;
and Z is data which is inconsistent with the actually used foam box type number and recommended for more than 2 times of ordering the commodity form and the refrigerant form in nearly 7 days.
And (3) judging from two-dimensional data of (x, wx '), (y, wy') if the single accumulation times of the Z data is less than 2: the foam box models with the maximum weight are selected according to different weights, and the foam box models with the minimum weight are selected according to the same weights; (x, wx '), (y, wy '), (z, wz ') three-dimensional data exists, and the algorithm logic is as follows:
the models of the foam boxes are different, and the model of the foam box with the maximum weight is selected;
the models of the foam boxes are different, the weights are the same, and the minimum model of the foam box in the maximum weight is selected;
and if the weights of the two foam box models are equal, the minimum foam box model is selected. If not, taking the minimum foam box model in the maximum weight;
and (4) accumulating and calculating the commodity form + refrigerant form + foam box model combined counter +1 of the order in nearly 7 days, and starting the actually used foam box model for algorithm self-learning when the counter is greater than 2.
The foregoing shows and describes the general principles and features and advantages of the present invention. It should be understood by those skilled in the art that the foregoing is only an example of the present invention and is not intended to limit the scope of the invention, which is defined by the claims and their equivalents, as well as other related technical fields in which the present invention is directly or indirectly applicable.
Claims (9)
1. A multi-dimensional fresh express packaging strategy system is characterized by comprising an information input module, a data auditing module, a data storage module, a data processing module, a data distribution module, a data rechecking module and an order generating module;
the information input module is used for inputting order information;
the data auditing module is used for confirming whether the input order information is complete;
the data storage module is used for storing preset packaging scheme strategy information;
the data processing module is used for analyzing the order information to obtain information such as order logistics, packaging materials, product categories and the like, and selecting a packaging scheme strategy;
the data distribution module is used for distributing the matched order production and logistics information to the corresponding delivery warehouse;
the data rechecking module is used for rechecking the contents of the commodity information before delivery and the input order after the picking is finished;
and the order generation module generates the re-checked order and sends the order to the logistics to start delivery.
2. The multi-dimensional fresh express packaging strategy system of claim 1, wherein the order information to be entered by the information entry module comprises a commodity name, a commodity quantity, and address information pre-entry information (before pushing a bill, after cooperation): basic information of the commodity (name, length, width, height, storage temperature), storage temperature, shelf life and the like; the system storage information includes: package scheme strategy information, commodity classification information, address base aging information and the like.
3. The multi-dimensional fresh express packaging strategy system of claim 1, wherein the packaging model recommendation information is a historical order comparison strategy, a real-time calculation strategy or a recent same strategy.
4. The multi-dimensional fresh food express packaging strategy system of claim 1, wherein the packaging scheme strategy information comprises a packaging model, a fresh food type, a delivery time limit, a delivery temperature area, a current season, a delivery warehouse, a delivery logistics merchant, a transportation mode, a heat preservation time limit and a refrigerant property.
5. The multi-dimensional fresh express packaging strategy system of claim 1, wherein the data review module comprises a review scan trigger, a review confirmation querier and a wms system integration.
6. The multi-dimensional fresh express packaging strategy system of claim 1, wherein the packaging model calculation formula is:
(type) total volume is commodity number + ice bag number + dry ice number + incubation bag presence/absence.
7. A method for realizing a multi-dimensional fresh express packaging strategy system is characterized by comprising the following steps:
step 1, obtaining order information, wherein the order information comprises commodity names, commodity quantity and address information;
step 2, confirming whether the input order information is complete or not, if not, giving a supplement prompt;
step 3, selecting a packaging scheme strategy to obtain the packaging model, the number of ice bags, the number of dry ice and the number of thermal insulation bags according with the input complete order information;
step 4, the system checks and sends the confirmed order to a corresponding picking warehouse;
and 5, the order data is packaged and delivered after the goods picking warehouse rechecks.
8. The implementation method of the multi-dimensional fresh express packaging strategy system according to claim 7, wherein if the order information is not matched with the order information in step 3, the largest packaging box model in the order information range is selected.
9. The method of claim 7, wherein the step 3 packaging type recommendation strategy is one of a historical order module comparison algorithm, a real-time calculation data model algorithm, or a recent same packaging strategy recommendation algorithm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010238367.2A CN111460082A (en) | 2020-03-30 | 2020-03-30 | Multi-dimensional fresh express packaging strategy system and implementation method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010238367.2A CN111460082A (en) | 2020-03-30 | 2020-03-30 | Multi-dimensional fresh express packaging strategy system and implementation method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111460082A true CN111460082A (en) | 2020-07-28 |
Family
ID=71680887
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010238367.2A Pending CN111460082A (en) | 2020-03-30 | 2020-03-30 | Multi-dimensional fresh express packaging strategy system and implementation method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111460082A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111915219A (en) * | 2020-08-17 | 2020-11-10 | 江苏华泽微福科技发展有限公司 | Self-built mall delivery order processing system and method |
| CN112258283A (en) * | 2020-10-23 | 2021-01-22 | 北京云杉世界信息技术有限公司 | Order processing method, device and system |
| CN113327156A (en) * | 2021-06-23 | 2021-08-31 | 郑盟姣 | Express delivery service method and system |
| CN113902379A (en) * | 2021-10-20 | 2022-01-07 | 北京京东乾石科技有限公司 | Method and device for determining transportation information |
| CN117557336A (en) * | 2023-11-14 | 2024-02-13 | 广州方舟信息科技有限公司 | Selection method, device, equipment and storage medium of medicine packaging box |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106548309A (en) * | 2015-09-18 | 2017-03-29 | 阿里巴巴集团控股有限公司 | Shipping Information processing method and processing device |
| CN108022064A (en) * | 2016-11-03 | 2018-05-11 | 北京西南物流中心有限公司 | A kind of logistics outbound review packing method and system |
| CN108876238A (en) * | 2018-06-05 | 2018-11-23 | 圆通速递有限公司 | Cold chain based on Internet of Things packs intelligent Matching system and method |
| CN109118138A (en) * | 2018-08-07 | 2019-01-01 | 深圳市易达云科技有限公司 | One ticket more than one piece pre-generates the method and computer readable storage medium of face list |
| CN110135960A (en) * | 2019-05-22 | 2019-08-16 | 广东卓志供应链科技有限公司 | A kind of packaging recommended method, apparatus and system |
-
2020
- 2020-03-30 CN CN202010238367.2A patent/CN111460082A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106548309A (en) * | 2015-09-18 | 2017-03-29 | 阿里巴巴集团控股有限公司 | Shipping Information processing method and processing device |
| CN108022064A (en) * | 2016-11-03 | 2018-05-11 | 北京西南物流中心有限公司 | A kind of logistics outbound review packing method and system |
| CN108876238A (en) * | 2018-06-05 | 2018-11-23 | 圆通速递有限公司 | Cold chain based on Internet of Things packs intelligent Matching system and method |
| CN109118138A (en) * | 2018-08-07 | 2019-01-01 | 深圳市易达云科技有限公司 | One ticket more than one piece pre-generates the method and computer readable storage medium of face list |
| CN110135960A (en) * | 2019-05-22 | 2019-08-16 | 广东卓志供应链科技有限公司 | A kind of packaging recommended method, apparatus and system |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111915219A (en) * | 2020-08-17 | 2020-11-10 | 江苏华泽微福科技发展有限公司 | Self-built mall delivery order processing system and method |
| CN112258283A (en) * | 2020-10-23 | 2021-01-22 | 北京云杉世界信息技术有限公司 | Order processing method, device and system |
| CN113327156A (en) * | 2021-06-23 | 2021-08-31 | 郑盟姣 | Express delivery service method and system |
| CN113902379A (en) * | 2021-10-20 | 2022-01-07 | 北京京东乾石科技有限公司 | Method and device for determining transportation information |
| CN117557336A (en) * | 2023-11-14 | 2024-02-13 | 广州方舟信息科技有限公司 | Selection method, device, equipment and storage medium of medicine packaging box |
| CN117557336B (en) * | 2023-11-14 | 2024-05-14 | 广州方舟信息科技有限公司 | Selection method, device, equipment and storage medium of medicine packaging box |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111460082A (en) | Multi-dimensional fresh express packaging strategy system and implementation method thereof | |
| CHARAN | WHAT THE CUSTOMER WANTS YOU TO KNOW How | |
| US7467103B1 (en) | Optimization system and method for buying clubs | |
| CN107117357A (en) | Customised container in material process facility | |
| CN109118329B (en) | Method for multi-wrapping intelligent recommendation of wrapping material and computer-readable storage medium | |
| CN106570573B (en) | Method and device for predicting package attribute information | |
| Çetinkaya et al. | An integrated outbound logistics model for Frito-Lay: Coordinating aggregate-level production and distribution decisions | |
| CN107239924A (en) | It is a kind of that goods set meal generation method and system are matched somebody with somebody based on standard container | |
| CN107527175A (en) | A kind of sharing method and system of the storage resource network based on standard component | |
| CN109118138A (en) | One ticket more than one piece pre-generates the method and computer readable storage medium of face list | |
| CN107220795A (en) | Ordering method and device are associated between a kind of different shops | |
| CN107424045A (en) | A kind of order generation method of Recommendations, apparatus and system | |
| CN110866626A (en) | Distribution line planning and regionalization logistics system and method thereof | |
| CN107169713A (en) | Efficient kinds of goods allocator, system and order management server based on standard container | |
| Liu et al. | On the three-dimensional container packing problem under home delivery service | |
| CN110866797A (en) | Timed supply chain pre-selling system and method thereof | |
| CN110866710A (en) | Distribution line and sales division planning system and method thereof | |
| US20210163225A1 (en) | Light assisted pack wall carton selection and replensihment system | |
| CN110866798A (en) | Timed supply chain e-commerce final sale system and method thereof | |
| US7584882B2 (en) | System and method for managing financial data | |
| CN106651456A (en) | Method for recommending goods in online shopping | |
| Utami et al. | An integrated inventory model for deteriorated and imperfect items considering carbon emissions and inflationary environment | |
| CN110866711A (en) | Electronic commerce purchaser system of timing supply chain and method thereof | |
| JP2002154615A (en) | Article shipment management system | |
| CN115204602A (en) | Material packaging processing method and device and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20200728 |