KR20240127191A - Home-in-fulfillment service platform capable of integrated management of multiple 3pl logistics networks - Google Patents

Abstract

The present invention relates to a home-in fulfillment service platform system capable of integrated management of multiple 3PL logistics networks.

Description

{HOME-IN-FULFILLMENT SERVICE PLATFORM CAPABLE OF INTEGRATED MANAGEMENT OF MULTIPLE 3PL LOGISTICS NETWORKS}

The present invention relates to a home-in fulfillment service platform system capable of integrated management of multiple 3PL logistics networks.

Third-party logistics (3PL) refers to the process in which a shipper and a third party agree on a specific service for a specific period and cost, and is a method in which a distribution company or manufacturing company, which is a shipper company, entrusts logistics work to a logistics service provider company through partnership. Logistics service quality is defined as meeting customer logistics needs, providing flawless service, and always satisfying customers, thereby meeting customer needs and expectations. In other words, it includes logistics service quality factors such as order service, delivery service, return service, customer service, and economic efficiency. In order to strengthen competitiveness and achieve goals even in a changing economic activity environment, logistics companies must establish basic infrastructure such as reducing logistics costs, locating logistics centers in convenient locations, and securing systematic operation capabilities. Logistics companies must gain trust in logistics service quality from shipper companies such as manufacturing companies, wholesalers, retailers, franchise service companies, and trade companies, and aim for supply chain performance.

The problem that the present invention seeks to solve is to provide a home-in fulfillment service platform system capable of integrated management of multiple 3PL logistics networks.

The tasks of the present invention are not limited to the tasks mentioned above, and other tasks not mentioned will be clearly understood by those skilled in the art from the description below.

The platform system of the present invention for achieving the above task may include a logistics service providing server including a user terminal that applies for a third-party logistics service, registers at least one sales page, and then receives an SCM service including inventory management; a registration unit that assigns a unique identification code to a user terminal and registers the user terminal so as to manage the receipt and shipment of at least one product sold by the user terminal when a third-party logistics service is applied for from the user terminal; a transmission unit that updates inventory data and transmits it to the user terminal when at least one product mapped to the unique identification code is received; a storage unit that stores a process of packing and then shipping a product included in the purchase event when a purchase event occurs on at least one sales page; and a transmission unit that updates the inventory data and transmits it to the user terminal.

According to the present invention as described above, a home-in fulfillment service platform system capable of integrated management of multiple 3PL logistics networks can be provided.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. The advantages and features of the present invention, and the methods for achieving them, will become apparent with reference to the embodiments described in detail below together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and the present embodiments are provided only to make the disclosure of the present invention complete and to fully inform those skilled in the art of the scope of the invention, and the present invention is defined only by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

In this specification, the term 'part' includes a unit realized by hardware, a unit realized by software, and a unit realized using both. In addition, one unit may be realized using two or more pieces of hardware, and two or more units may be realized by one piece of hardware. Meanwhile, '~part' does not have a meaning limited to software or hardware.

No, the '~ part' may be configured to be on an addressable storage medium and may be configured to cause one or more processors to regenerate. Thus, by way of example, the '~ part' includes components such as software components, object-oriented software components, class components and task components, processes, functions, attributes, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays and variables. The functionality provided in the components and '~ parts' may be combined into a smaller number of components and '~ parts' or further separated into additional components and '~ parts'. In addition, the components and '~ parts' may be implemented to cause one or more CPUs in the device or the secure multimedia card.

Some of the operations or functions described as being performed by a terminal, apparatus or device in this specification may instead be performed by a server connected to the terminal, apparatus or device. Similarly, some of the operations or functions described as being performed by a server may also be performed by a terminal, apparatus or device connected to the server.

In this specification, some of the operations or functions described as terminal and mapping or matching may be interpreted to mean mapping or matching the terminal's unique number or personal identification information, which is the terminal's identifying data.

A third-party logistics service providing system (1) may include at least one user terminal (100) and a logistics service providing server (300). However, this third-party logistics service providing system (1) is generally connected via a network (Network, 200). At least one user terminal (100) may be connected to a logistics service providing server (300) via the network (200). In addition, the logistics service providing server (300) may be connected to at least one user terminal (100) via the network (200).

Here, a network means a connection structure that enables information exchange between each node, such as multiple terminals and servers, and examples of such networks include a local area network (LAN), a wide area network (WAN), the Internet (WWW: World Wide Web), wired and wireless data communication networks, telephone networks, and wired and wireless television communication networks. Examples of wireless data communication networks include, but are not limited to, 3G, 4G, 5G, 3GPP (3 ^rd Generation Partnership Project), 5GPP (5th Generation Partnership Project), LTE (Long Term Evolution), WIMAX (World Interoperability for Microwave Access), Wi-Fi, the Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), RF (Radio Frequency), Bluetooth (Bluetooth) network, NFC (Near-Field Communication) network, satellite broadcasting network, analog broadcasting network, and DMB (Digital Multimedia Broadcasting) network.

In the following, the term at least one is defined as a term including the singular and the plural, and it will be obvious that even if the term at least one does not exist, each component can exist in the singular or the plural and can mean the singular or the plural. In addition, it will be said that whether each component is provided in the singular or the plural may change depending on the embodiment.

At least one user terminal (100) may be a terminal of a seller, manufacturer, supplier, etc. who applies for a third-party logistics service by using a web page, app page, program, or application related to a SCM-based third-party logistics service. The user terminal (100) may be a terminal of a user who registers a site where he sells by registering at least one sales page in a logistics service providing server (300) and entrusts SCM services and CS services including receipts and shipments and inventory management.

Here, at least one user terminal (100) may be implemented as a computer that can access a remote server or terminal via a network. Here, the computer may include, for example, a notebook, desktop, laptop, etc. equipped with a navigation system and a web browser. At this time, at least one user terminal (100) may be implemented as a terminal that can access a remote server or terminal via a network. At least one user terminal (100) may include, for example, a wireless communication device that ensures portability and mobility, such as a navigation, a PCS (Personal Communication System), a GSM (Global System for Mobile communications), a PDC (Personal Digital Cellular), a PHS (Personal Handyphone System), a PDA (Personal Digital Assistant), an IMT (International Mobile Telecommunication)-2000, a CDMA (Code Division Multiple Access)-2000, a WCDMA (W-Code Division Multiple Access), a Wibro (Wireless Broadband Internet) terminal, a smartphone, a smartpad, a tablet PC, and all kinds of handheld-based wireless communication devices.

The logistics service providing server (300) may be a server that provides a third-party logistics service web page, app page, program, or application. In addition, the logistics service providing server (300) may be a server that receives a third-party logistics service application from a user terminal (100) and performs tasks such as receipt/shipment, delivery, storage, ordering, inventory management, and CS.

Here, the logistics service providing server (300) may be implemented as a computer that can connect to a remote server or terminal through a network. Here, the computer may include, for example, a notebook, desktop, or laptop equipped with a navigation system or a web browser.

The logistics service provision server (300) may include a registration unit (310), a transmission unit (320), a storage unit (330), a delivery unit (340), an automatic ordering unit (350), a CS unit (360), a rate setting unit (370), a sales forecasting unit (380), and a quantity management unit (390).

When the logistics service providing server (300) according to one embodiment of the present invention or another server (not shown) that operates in conjunction with it transmits an SCM-based third-party logistics service application, program, app page, web page, etc. to at least one user terminal (100), the at least one user terminal (100) can install or open the SCM-based third-party logistics service application, program, app page, web page, etc. In addition, the service program may be driven on at least one user terminal (100) using a script that is executed in a web browser. Here, the web browser refers to a program that enables the use of a web (WWW: World Wide Web) service and receives and displays hypertext described in HTML (Hyper Text Mark-up Language), and includes, for example, Netscape, Explorer, Chrome, etc. In addition, the application refers to an application program on a terminal, and includes, for example, an app that is executed on a mobile terminal (smartphone).

In the past, logistics outsourcing services were typically simple delivery services from producers to buyers. However, the scope of current logistics outsourcing services is gradually expanding to include warehouse management, transportation, freight payment, logistics information and ordering, packaging, assembly, and customs clearance. In terms of service quality of third-party logistics companies, order accuracy, availability, visibility, and professionalism have a positive effect on the satisfaction of shipper companies. In addition, the provision of a wide range of logistics service quality and customized logistics services can be seen as the most important requirements for securing competitiveness of logistics companies.

By providing logistics outsourcing services from third-party logistics companies, shippers can outsource their previously self-performed logistics work to specialized outsourcing companies, reduce their internal logistics-related asset costs, and improve customer service by utilizing specialized logistics-related services. In order to improve logistics services, third-party logistics companies should not only provide customized logistics outsourcing services for each shipper company, but also include a wide range of service functions.

The registration unit (310) can register a user terminal (100) by assigning a unique identification code to the user terminal (100) to manage the receipt and shipment of at least one product sold by the user terminal (100) when a third-party logistics service is applied for from the user terminal (100). The user terminal (100) can apply for a third-party logistics service, register at least one sales page, and then receive SCM services including inventory management.

The transmission unit (320) can update inventory data and transmit it to the user terminal (100) when at least one product mapped to a unique identification code is received. At this time, in order to track the location of a NoSQL-based logistics object for smart SCM, a method of collecting and storing data on the type of product, the location of the warehouse, equipment, etc. from the process from receipt to shipment, and tracking the location through spatial operation can be used. To this end, it can be composed of a process of collecting and distributing and storing object data, and a process of spatial object operation and tracking. It can include an object data collection and distributed storage module that collects and stores data of each product object from receipt to loading and delivery, and distributes and stores the same, and a spatial object operation and tracking module that finds data that meets the location and conditions through spatial operation and tracks the movement of objects.

You can collect data using the standard of MTConnect, a real-time standard protocol, and use NoSQL-based Mongo-DB for distributed storage. MongoDB is a NoSQL that supports distributed databases and simple spatial operations. MongoDB is a representative document-based database that is unstructured and designed for easy distributed scalability. It also supports multi-hierarchical structures in the form of documents, so it supports various types of storage structures such as embedded documents and arrays.

In addition, MongoDB stores datasets as Key-Value pairs, and the format for Key values is relatively free. This has the advantage of being able to structure the data hierarchically and easily converting various protocols into MongoDB's JSON format. In addition, the basic spatial operation can use three operations of MongoDB. If there is a need to use various spatial operations, spatial types and operations can be added based on the OGC Simple Feature Specification. In addition to MongoDB's operators, MongoDB can retrieve GeoJSON objects. However, since most storage environments are located indoors, obtaining spatial coordinates based on GPS raises questions about the indoor positioning of GeoJSON. This is because the positioning in the indoor environment is positioning using a sensor, not GPS. Trajectory tracking tracks the trajectory based on the log history.

Trajectory tracking makes it easier to find packed goods in a process where an error occurred during operation. For example, if an error occurs, you can check the log to see which goods passed through the packing device or unit at the time the error occurred and collect the delivery box.

The storage unit (330) can store a process of packing and shipping products included in a purchase event when a purchase event occurs on at least one sales page.

The transmission unit (340) can update inventory data and transmit it to the user terminal (100).

The automatic ordering unit (350) can perform automatic ordering to at least one supplier by setting the type and quantity of products so as to maintain a preset inventory based on SCM (Supply Chain Management) after analyzing the sales data of products paid through at least one sales page. Inventory management occupies an important position in the supply chain. Companies strive to simultaneously reduce costs and satisfy delivery deadlines by managing inventory in the supply chain. Here, the level at which the appropriate inventory should be maintained is an important issue. The reason is that if the inventory level is operated at a low level, costs can be reduced, but out-of-stock costs can occur, and if the inventory level is sufficient, customer demand can be satisfied, but inventory maintenance costs can increase.

There are various inventory management techniques that can be used, such as Fixed Order Quantity (FOQ), Economic Order Quantity (EOQ), Periodic Order Quantity (POQ), and Min-Max Order. However, if orders are placed over a certain period of time, it is difficult to offset the bullwhip effect that occurs in the supply chain. The bullwhip effect is a phenomenon in which the instability of demand and inventory increases due to information distortion as the stage from the factory to the final consumer in the supply chain becomes farther away. Therefore, each store in the supply chain holds more than the appropriate amount of inventory. To solve this problem, rather than responding to changes in the order quantity of the previous stage, a method of managing inventory at the overall level of the supply chain can be considered. In particular, if the supply chain management and target inventory management system suggested by the Theory of Constrains (TOC) are used, the bullwhip effect described above can be supplemented.

At this time, the quantitative ordering method is a method that automatically orders a predetermined order quantity to replenish inventory when the inventory of a product falls below a certain level. It is also called the ‘Q system’. This is a method used when demand forecasting is difficult or when there are many items and management is difficult. It is easy to manage, but there is a high probability that problems due to an increase in inventory will occur. The periodic ordering method is also called the ‘P system’ in which inventory is regularly checked at regular intervals and the amount insufficient is ordered. The periodic ordering method has the disadvantage of having to hold more safety inventory than other methods because it must offset inventory volatility over a certain period. The Min-Max method is a method created by compromising the quantitative and periodic ordering methods. The order quantity is not fixed, and when the inventory level is below the Min value, only the amount of the appropriate inventory quantity minus the current inventory quantity is ordered. It is said that all systems have constraints that hinder performance, and that performance will increase if these constraints are resolved. The target inventory management method suggested by TOC theory reduces distortion due to information delay by ordering the amount sold by the retailer at the final stage of the supply chain to the upper stage every day. In addition, a method of reducing the stages of the supply chain and managing uncertainty centrally can be used.

The CS (Customer Service) department (360) can assign a person in charge of inquiries, refund requests, and exchange requests registered on at least one sales page and transmit the results of processing to the user terminal (100).

The rate setting department (370) sets a basic rate based on the storage of products below a preset CBM (Cubic Meter) unit and the delivery of a preset number of parcels, and may impose an additional rate if the preset CBM or the number of parcels delivered exceeds the preset number.

The sales prediction unit (370) can accumulate sales data of at least one sales page and save it as a history log, then predict sales based on SCM and output an order event based on the predicted data.

The quantity management department (380) can report the predicted quantity using at least one quantity prediction model based on the accumulated warehouse management system (WMS)-based logistics big data from at least one logistics company terminal. At this time, it can be configured in a form of constructing big data by linking with the WMS of the logistics site, public data portal, search portal site, etc. through API, deriving intelligent information services through various artificial intelligence algorithms, and then providing the services as APIs to the WMS of the logistics site. In particular, the intelligent service can include a quantity prediction service based on logistics big data that predicts the order quantity by segment with similar consumption tendencies based on order information, search word trend data, and public data, and a machine learning-based dispatch requirement prediction service that calculates the number of vehicles by vehicle type required for delivery work according to the quantity prediction.

The logistics big data-based quantity forecasting service is a service that selects valid influencing factors by segment with similar consumption tendencies based on order information, search term trend data, and public data, and predicts order quantities by segment. The data input includes logistics data such as waybill data, order quantity data, and product data that are basically accumulated in WMS to construct a model, and keyword data from search portal sites such as Google and Naver and public data such as weather and calendar information can be used to reflect consumption patterns. The quantity forecasting model classifies (clusters) into segments with similar consumption tendencies through clustering analysis such as K-means algorithm and hierarchical clustering, and selects valid influencing factors and predicts order quantities by segment through ARIMA time series analysis and regression analysis. In particular, considering that the time of Internet search is in the past compared to the time of demand, K-Fold Cross Validation is performed to compare the accuracy of the model according to the time difference, and the output derived through this process is the total shipment amount of the next day and the combination of shipment orders (single product, complex order, etc.).

This includes weekly shipment volume by item, and can be used as an input variable for a machine learning-based dispatch requirement prediction model.

The machine learning-based dispatch requirement prediction model is a service that predicts the number of vehicles by vehicle type required for shipment work by performing the following steps: ① predicting box size according to order quantity and order combination, ② predicting optimal pallet loading amount and number of pallets, and ③ predicting dispatch requirement for pallet loading. The input data basically includes order quantity prediction value and packing information, and the structure can be used so that the prediction value produced at each step is fed back as an input variable. First, the box size prediction model is a model to predict the optimal box size for each product order by considering 300 SKU (Stock Keeping Unit) and box sizes from 1 to 10, and can utilize deep learning algorithms such as complete neural networks, CNNs, and RNNs. Through this, the optimal box size for each order can be derived, and the shipment quantity for each box size can be predicted. Second, the pallet loading prediction model is a model to optimally load boxes of different sizes on a standardized pallet by considering different box sizes and orders from 1 to 10, and can predict the number of pallets required for shipment using the reinforcement learning methodology. Third, the dispatching requirement prediction model is a model to predict the dispatching requirement based on the number of pallets predicted in the pallet loading prediction step. Since the pallet size and the container size of the vehicle are standardized, the expected number of pallets to be shipped and the dispatching requirement have a linear function relationship, and thus the dispatching requirement required for the same-day shipment can be predicted. The output derived through this process can be used to sourcing vehicles required for the same-day shipment.

Claims (1)

User terminals that apply for third-party logistics services and receive SCM services including inventory management after registering at least one sales page; and
A third-party logistics service providing system comprising: a logistics service providing server including a registration unit that assigns a unique identification code to a user terminal and registers the user terminal so as to manage the receipt and shipment of at least one product sold by the user terminal when a third-party logistics service is requested from the user terminal; a transmission unit that updates inventory data and transmits it to the user terminal when at least one product mapped to the unique identification code is received; a storage unit that stores a process of packing and then shipping a product included in the purchase event when a purchase event occurs on at least one sales page; and a transmission unit that updates the inventory data and transmits it to the user terminal.