Description:FIELD OF INVENTION

[0001] Embodiments of the present disclosure relate to shipping services and more particularly relate to a system and process for dynamically managing a less-than-container load (LCL).

BACKGROUND

[0002] When one or more customers wish to ship goods, the customers must contact an appropriate shipping company either directly or through an intermediary, such as a freight forwarder, carrier booking company, or the like. In most cases, this requires telephonically or otherwise contacting the freight forwarder, providing a description of the goods to be shipped, and awaiting an Ocean Carrier Booking Number (“OCBN”) for one or more slots on a container. This manual process is both time-consuming and tedious for the customers.

[0003] In most cases, one or more customers need to reach out to the freight forwarder for the shipping of one or more less-than-container loads (LCL). The freight forwarder is the logistics service provider who then reaches out to a Freight consolidator to consolidate their customer’s requests within the container along with other importers or exporters cargo. This crucial business of the supply chain has too many stakeholders involved, and freight forwarders are at the mercy of freight consolidators. Much of this booking is still done via traditional emails and text-based communication.

[0004] Although existing methods lack visibility in terms of less-than-container loads (LCL) flow, information flow, and pricing. Since the freight forwarders have less control over the consolidation aspect of the supply chain, the end benefit does not reach the importer or exporter. Which leads to bad inventory management etc.

[0005] In the existing technology, a system and method for providing immediate confirmation for shipping services are disclosed. The method and related system allow reservations of shipping slots on a vessel. The method includes accepting pre-allocation from a carrier, slots on a voyage of the vessel, corresponding carrier booking numbers for the slots, and shipping rules for the slots. A booking request from a shipper is accepted to reserve one or more of the pre-allocated slots on the vessel, together with shipping information for the booking request. The shipping information is correlated to the shipping rules for the slots to determine if the booking request can be accepted. If the booking request can be accepted, the carrier booking numbers corresponding to the reserved slots are then provided to the shipper, and the corresponding slots are marked as reserved. However, the reference does not disclose any cargo space utilization techniques within the container. The methods do not disclose the price flow for the less-than-container loads (LCL).

[0006] There are various technical problems with the shipping services in the prior art. The traditional way of communication in shipping less-than-container loads (LCL) shipments involves a lot of manual processes and is time-consuming and prone to errors. There is a lack of visibility in terms of cargo flow, information flow, and pricing. Lack of visibility leads to delays in cargo flow because the customer may not have accurate information about the location and status of their less-than-container loads (LCL). Lack of visibility in pricing results in customers paying higher prices than they would if they had more information about the market. This is because customers may not be aware of competitive rates, and they may not have access to real-time pricing information.

[0007] Therefore, there is a need for a system and process for dynamically managing a less-than-container load (LCL) to address these issues. There is also a need for greater visibility into less-than-container loads (LCL) flow, information flow, and pricing.

SUMMARY

[0008] This summary is provided to introduce a selection of concepts, in a simple manner, which is further described in the detailed description of the disclosure. This summary is neither intended to identify key or essential inventive concepts of the subject matter nor to determine the scope of the disclosure.

[0009] In order to overcome the above deficiencies of the prior art, the present disclosure is to solve the technical problem to provide a system and process for dynamically managing a less-than-container load (LCL).

[0010] In accordance with an exemplary embodiment of the present disclosure, a process for dynamically managing a less-than-container load (LCL) is disclosed. In the first step, the process includes receiving, through one or more freight forwarder devices, input data for shipping one or more less-than-container loads (LCL) of one or more customers in one or more shipping containers. The process includes registering through a registration module for enabling the one or more freight forwarders to input the input data. The input data comprise an origin location, dimensions, and weight of the one or more less-than-container loads (LCL). In the next step, the process includes providing, by a database server, a plurality of destination locations upon receiving the input data for shipping the one or more less-than-container loads (LCL).

[0011] In the next step, the process includes pre-booking, by a pre-booking unit, a dynamically defined space in each shipping container of the one or more shipping containers based on the input data and a destination location from the plurality of destination locations. The pre-booking unit is operatively connected to a rate engine. The rate engine is configured to predict a dynamic price for each less-than-container load (LCL) of the one or more less-than-container loads (LCL) based on the occupied space of a predefined space in each shipping container of the one or more shipping containers. The rate engine is configured with a conditional reasoning to predict the dynamic price of each less-than-container load (LCL) of the one or more less-than-container loads (LCL) per cubic meter in each shipping container of the one or more shipping containers. Further, the rate engine is configured to predict the dynamic price of each less-than-container load (LCL) of the one or more less-than-container loads (LCL) based on various price conditions including a freight price, an origin price, and a destination price.

[0012] In the next step, the process includes comprising conforming, through a confirmation unit, the pre-booked dynamically defined space upon verifying the predicted dynamic price by the one or more customers for each less-than-container load (LCL) of the one or more less-than-container loads (LCL). In the next step, the process includes generating, by a load plan optimizing unit, an optimum plan to place the one or more less-than-container loads (LCL) within the pre-booked dynamically defined space of each shipping container of the one or more shipping containers. The load plan optimizing unit is configured with machine learning algorithms to generate the optimum plan once the pre-booked dynamically defined space is confirmed. The load plan optimizing unit is configured to depict a three-dimensional visual through the one or more freight forwarder devices for placing the one or more less-than-container loads (LCL) in each shipping container of the one or more shipping containers.

[0013] In the next step, the process includes distributing, by a first computing unit, benefits among one or more freight forwarders once the predefined space in each shipping container of the one or more shipping containers occupied with the one or more less-than-container loads (LCL). The first computing unit is configured with a K-Transactions algorithm to compute the benefits for distributing among the one or more freight forwarders once the pre-booked dynamically defined space is confirmed and the predefined space occupied with the one or more less-than-container loads (LCL). The first computing unit comprises a benefit computing unit. The benefit computing unit is configured to compute and display the benefits earned by each freight forwarder of the one or more freight forwarders for pre-booking the dynamically defined space in each shipping container of the one or more shipping containers.

[0014] In the next step, the process includes generating, by a schedule computing unit, schedule data for allocating the one or more less-than-container loads (LCL) to each shipping container of the one or more shipping containers. In the next step, the process includes allocating, by a container schedule unit, the one or more less-than-container loads (LCL) based on a departure schedule of each shipping container of the one or more shipping containers. The container schedule unit comprises a Top-k sort algorithm with a heap data structure for sorting the departure schedule of each shipping container of the one or more shipping containers.

[0015] In accordance with another exemplary embodiment of the present disclosure, a system for dynamically managing a less-than-container load (LCL) is disclosed. The system comprises one or more freight forwarder devices, a database server, a pre-booking unit, a load plan optimizing unit, and a first computing unit. The one or more freight forwarder devices are adapted to receive input data for shipping one or more less-than-container loads (LCL) of one or more customers in one or more shipping containers. The database server is adapted to provide a plurality of destination locations upon receiving the input data for shipping the one or more less-than-container loads (LCL). The pre-booking unit is operatively connected with the database server and is adapted to receive a request from the one or more freight forwarder devices for pre-booking a dynamically defined space in each shipping container of the one or more shipping containers.

[0016] The load plan optimizing unit is operatively connected with the database server and is adapted to generate an optimum plan to place the one or more less-than-container loads (LCL) within the pre-booked dynamically defined space of each shipping container of the one or more shipping containers upon confirming the pre-booked dynamically defined space. The first computing unit is operatively connected with the database server and is adapted to distribute benefits among one or more freight forwarders once the pre-booked dynamically defined space is confirmed and the predefined space is occupied with the one or more less-than-container loads (LCL).

[0017] To further clarify the advantages and features of the present invention, a more particular description of the invention will follow by reference to specific embodiments thereof, which are illustrated in the appended figures. It is to be appreciated that these figures depict only typical embodiments of the invention and are therefore not to be considered limiting in scope. The invention will be described and explained with additional specificity and detail with the appended figures.

BRIEF DESCRIPTION OF THE DRAWINGS

The disclosure will be described and explained with additional specificity and detail with the accompanying figures in which:

[0018] FIG. 1 illustrates an exemplary block diagram of a system for dynamically managing a less-than-container load (LCL), in accordance with an embodiment of the present disclosure;

[0019] FIG. 2 illustrates an exemplary isometric view of a container with one or more less-than-container loads (LCL), in accordance with an embodiment of the present disclosure; and

[0020] FIG. 3 illustrates a flow chart of a process for dynamically managing a less-than-container load (LCL), in accordance with an embodiment of the present disclosure.

[0021] Further, those skilled in the art will appreciate that elements in the figures are illustrated for simplicity and may not have necessarily been drawn to scale. Furthermore, in terms of the method steps, chemical compounds, equipments and parameters used herein may have been represented in the figures by conventional symbols, and the figures may show only those specific details that are pertinent to understanding the embodiments of the present disclosure so as not to obscure the figures with details that will be readily apparent to those skilled in the art having the benefit of the description herein.

DETAILED DESCRIPTION OF THE PRESENT INVENTION

[0022] For the purpose of promoting an understanding of the principles of the disclosure, reference will now be made to the embodiment illustrated in the figures and specific language will be used to describe them. It will nevertheless be understood that no limitation of the scope of the disclosure is thereby intended. Such alterations and further modifications in the illustrated system, and such further applications of the principles of the disclosure as would normally occur to those skilled in the art are to be construed as being within the scope of the present disclosure.

[0023] The terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such a process or method. Similarly, one or more components, compounds, and ingredients preceded by "comprises... a" does not, without more constraints, preclude the existence of other components or compounds or ingredients or additional components. Appearances of the phrase "in an embodiment", "in another embodiment" and similar language throughout this specification may, but not necessarily do, all refer to the same embodiment.

[0024] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this disclosure belongs. The system, methods, and examples provided herein are only illustrative and not intended to be limiting.

[0025] In the following specification and the claims, reference will be made to a number of terms, which shall be defined to have the following meanings. The singular forms “a”, “an”, and “the” include plural references unless the context clearly dictates otherwise.

[0026] Embodiments of the present disclosure relate to a system and process for dynamically managing a less-than-container load (LCL).

[0027] As used herein the term “less-than-container load (LCL)” refer to shipments that do not fill up an entire shipping container. LCL shipments are consolidated with other shipments to fill up a container, and they are typically used for smaller or less frequent shipments.

[0028] As used herein the term “freight forwarder” refers to a company or an individual that arranges shipments of goods or less-than-container load (LCL) on behalf of one or more customers. Freight forwarders act as intermediaries between one or more customers and transportation carriers, such as airlines, shipping lines, trucking companies, and the like.

[0029] FIG. 1 illustrates an exemplary block diagram of a system 100 for dynamically managing a less-than-container load (LCL), in accordance with an embodiment of the present disclosure.

[0030] In accordance with an exemplary embodiment of the present disclosure, a system 100 for dynamically managing the less-than-container load (LCL) is disclosed. The system 100 comprises one or more freight forwarder devices 102, a database server 104, a container schedule unit 105, a pre-booking unit 106, a load plan optimizing unit 108, and a first computing unit 110. The system 100 enables efficient use of space in one or more shipping containers by pre-booking dynamically defined spaces. The system 100 is adapted to provide increased efficiency and cost savings in the shipping industry, as well as improved customer satisfaction through more accurate pricing and optimized use of space.

[0031] In an exemplary embodiment, the one or more freight forwarder devices 102 are adapted to enable the one or more freight forwarders to register in a registration module in the database server 104 for enabling the one or more freight forwarders to input data. The one or more freight forwarder devices 102 is adapted to input the input data into the system 100 for shipping one or more less-than-container loads (LCL) of one or more customers in one or more shipping containers. The input data comprise an origin location, dimensions, and weight of the one or more less-than-container loads (LCL). The one or more freight forwarder devices 102 comprises, but not limited to, at least one of a computer, laptop, mobile phone, personal digital assistant (PDA), tablet PC, and the like.

[0032] In an exemplary embodiment, the database server 104 manages requests from the one or more freight forwarders and provides access to the database in a controlled and secure manner through a communication network 120. In one exemplary embodiment, the communication network 120 comprises, but not limited to, an open area network, a personal area network (PAN), a local area network (LAN), a wireless local area network (WLAN), a wide area network (WAN), a virtual private network (VPN), campus area network (CAN), local interconnect network (LIN), wireless fidelity (Wi-Fi), Ethernet and the like to connect the one or more freight forwarder devices 102 to the database server 104. The database server 104 is adapted to provide a plurality of destination locations upon receiving the input data for shipping the one or more less-than-container loads (LCL). The one or more freight forwarders need to select at least one destination location to proceed with the pre-booking.

[0033] In an exemplary embodiment, the container schedule unit 105 is operatively connected with the database server 104. The container schedule unit 105 is adapted to allow the one or more freight forwarders to pre-book or confirm one or more less-than-container loads (LCL) to each shipping container of the one or more shipping containers. Based on the departure schedule of each shipping container of the one or more shipping containers the container schedule unit 105 allocates the one or more less-than-container loads (LCL). After the allocation of the one or more shipping containers based on the departure schedule, the system 100 proceeds to the pre-booking unit 106.

[0034] In an exemplary embodiment, the pre-booking unit 106 is operatively connected with the database server 104. The pre-booking unit 106 is adapted to receive a request from the one or more freight forwarder devices 102 for pre-booking a dynamically defined space in each shipping container of the one or more shipping containers. The pre-booking unit 106 comprises a rate engine 112. The rate engine 112 is configured to predict a dynamic price for each less-than-container load (LCL) of the one or more less-than-container loads (LCL) based on the occupied space of the predefined space in each shipping container of the one or more shipping containers. The predefined space is the break-even space in each shipping container of the one or more shipping containers. The break-even space depends on various parameters all of which are manually entered by the operations. In another embodiment, the break-even space may be calculated by the machine learning algorithm based on the starting price, current price, and predicted price.

[0035] The rate engine 112 is configured with a conditional reasoning to predict the dynamic price of each less-than-container load (LCL) of the one or more less-than-container loads (LCL) per cubic meter in each shipping container of the one or more shipping containers. The rate engine 112 is adapted to depict the change in price in a particular lane after crossing the break-even threshold through the one or more freight forwarder devices 102. The system 100 is adapted to provide an option to depict the changes in price both in a dashboard and a rate card. The rate engine 112 is configured to predict the dynamic price of each less-than-container load (LCL) of the one or more less-than-container loads (LCL) based on various price conditions including a freight price, an origin price, and a destination price. To predict the dynamic price for each less-than-container load (LCL) of the one or more less-than-container loads (LCL) the system 100 is configured with a Linear Regression model. Where a dependent variable’s value is predicted with the assistance of some independent variables. Again, the Linear Regression model may be trained with a plurality of historical data which has the change in prices for a particular lane with respect to the number of bookings. By providing the predicted dynamic price, the customer is interested in confirming their booking in the container.

[0036] In an exemplary embodiment, a confirmation unit 114 is operatively connected with the pre-booking unit 106. The confirmation unit 114 is adapted to enable the one or more customers to confirm the pre-booked dynamically defined space upon verifying the predicted dynamic price.

[0037] In an exemplary embodiment, the load plan optimizing unit 108 is operatively connected with the database server 104 and the confirmation unit 114. The load plan optimizing unit 108 is adapted to generate an optimum plan upon confirming the pre-booked dynamically defined space. The load plan optimizing unit 108 is adapted to place the one or more less-than-container loads (LCL) within the pre-booked dynamically defined space of each shipping container of the one or more shipping containers. The load plan optimizing unit 108 is configured to depict a three-dimensional visual through the one or more freight forwarder devices 102 for placing the one or more less-than-container loads (LCL) in each shipping container of the one or more shipping containers. The load plan optimizing unit 108 is adapted to generate a load plan in a way that the container space is optimised for the best use.

[0038] In an exemplary embodiment, the first computing unit 110 is operatively connected with the database server 104 and the confirmation unit 114. The first computing unit 110 is adapted to distribute benefits among one or more freight forwarders once the pre-booked dynamically defined space is confirmed and the predefined space is occupied with the one or more less-than-container loads (LCL). The first computing unit 110 is configured with a K-Transactions algorithm to compute the benefits for distributing among the one or more freight forwarders. The first computing unit 110 comprises a benefit computing unit (116). The benefit computing unit 116 is configured to compute and display the benefits earned by each freight forwarder of the one or more freight forwarders for pre-booking the dynamically defined space in each shipping container of the one or more shipping containers.

[0039] In an exemplary embodiment, a schedule computing unit 118 is operatively connected with the database server 104. The schedule computing unit 118 is configured to generate schedule data for allocating the one or more less-than-container loads (LCL) to each shipping container of the one or more shipping containers.

[0040] In an exemplary embodiment, the container schedule unit 105 is operatively connected with the database server 104 and the confirmation unit 114. The container schedule unit 105 is configured to allocate the one or more less-than-container loads (LCL) based on a departure schedule of each shipping container of the one or more shipping containers. The container schedule unit 105 comprises a Top-k sort algorithm with a heap data structure for sorting the departure schedule of each shipping container of the one or more shipping containers.

[0041] The schedule computing unit 118 is adapted to collect basic information that comprises, but not limited to, ports in a lane, their respective estimated time of departure, estimated time of arrival, holiday list of the respective country, and the like. All of this collected data is loaded as a spreadsheet file from the user interface by the operations. For the calculation, the system 100 is configured with a custom algorithm that comprises, but not limited to, conditional reasoning, hash tables, linear data structure, and looping in the backend.

[0042] The schedule data along with holidays use an array data structure in storing and accessing a sequence of objects. The Top-k sort algorithm with the heap data structure is time efficient to sort based on departure (ETD) dates when getting a list of available schedules. Moreover, a B-Tree Searching algorithm is configured to retrieve the schedule data that is stored in the database based on the condition that the booking cut-off date does not fall behind the one or more container departure dates which are given by the one or more freight forwarders when searching for a schedule. The system 100 may be configured with a docker for more scalable and flexibility. The system 100 with the docker provides the opportunity to perform load balancing with Kubernetes to handle heavy loads.

[0043] In an exemplary embodiment, the system 100 is configured with a discrete tracker for each key partner. The discrete tracker displays the movement of the one or more less-than-container loads (LCL) from one place to another. In an exemplary embodiment, the system 100 is configured with a dedicated portal for each key partner. These dedicated portals are custom-made to encompass the functions, features, and actions associated with the key partners. All the key partners now benefit from the ease of use and automation features of the dedicated portals.

[0044] FIG. 2 illustrates an exemplary isometric view of a container 200 with one or more less-than-container loads (LCL) 202, in accordance with an embodiment of the present disclosure.

[0045] In accordance with an exemplary embodiment of the present disclosure, the container 200 is configured with a predefined space. The one or more freight forwarders are able to book the predefined space in the container 200 to ship one or more less-than-container loads (LCL) 202 of one or more customers. The one or more freight forwarders and the one or more customers are able to check the predicted dynamic price of each less-than-container load (LCL) 202 of the one or more less-than-container loads (LCL) 202 per cubic meter in the container. Based on the predicted dynamic price the one or more customers or the one or more freight forwarders are able to confirm the pre-booked dynamically defined space.

[0046] The load plan optimizing unit 108 is configured with machine learning algorithms to generate the optimum plan once the pre-booked dynamically defined space is confirmed. The load plan optimizing unit 108 is configured to depict a three-dimensional visual through the one or more freight forwarder devices 102 for placing the one or more less-than-container loads (LCL) 202 in the shipping container 200. Once the shipping container 200 is booked up to the predefined space as depicted by the line 204, the benefits are distributed among one or more freight forwarders. The benefits are the profits earned by each freight forwarder upon confirming the booking in the container 200.

[0047] FIG. 3 illustrates a flow chart of a process 300 for dynamically managing a less-than-container load (LCL), in accordance with an embodiment of the present disclosure.

[0048] In accordance with another exemplary embodiment of the present disclosure, a process 300 for dynamically managing a less-than-container load (LCL) is disclosed. At step 302, the process 300 includes receiving, through one or more freight forwarder devices, input data for shipping one or more less-than-container loads (LCL) of one or more customers in one or more shipping containers. The process 300 includes registering through a registration module for enabling the one or more freight forwarders to input the input data. The input data comprise, but not limited to, an origin location, dimensions, and weight of the one or more less-than-container loads (LCL).

[0049] At step 304, the process 300 includes providing, by a database server, a plurality of destination locations upon receiving the input data for shipping the one or more less-than-container loads (LCL). The destination locations refer to the places where the less-than-container loads (LCL) are to be shipped. These locations may be any geographical areas or points comprising, but not limited to, ports, terminals, warehouses, or distribution centres.

[0050] At step 306, the process 300 includes pre-booking, by a pre-booking unit, a dynamically defined space in each shipping container of the one or more shipping containers based on the input data and a destination location from the plurality of destination locations. The pre-booking unit is operatively connected to a rate engine. The rate engine is configured to predict a dynamic price for each less-than-container load (LCL) of the one or more less-than-container loads (LCL) based on the occupied space of the predefined space in each shipping container of the one or more shipping containers. The rate engine is configured with a conditional reasoning to predict the dynamic price of each less-than-container load (LCL) of the one or more less-than-container loads (LCL) per cubic meter in each shipping container of the one or more shipping containers. Further, the rate engine is configured to predict the dynamic price of each less-than-container load (LCL) of the one or more less-than-container loads (LCL) based on various price conditions including a freight price, an origin price, and a destination price.

[0051] In the next step, the process 300 includes conforming, through a confirmation unit, the pre-booked dynamically defined space upon verifying the predicted dynamic price by the one or more customers for each less-than-container load (LCL) of the one or more less-than-container loads (LCL).

[0052] At step 308, the process 300 includes generating, by a load plan optimizing unit, an optimum plan to place the one or more less-than-container loads (LCL) within the pre-booked dynamically defined space of each shipping container of the one or more shipping containers. The load plan optimizing unit is configured with machine learning algorithms to generate the optimum plan once the pre-booked dynamically defined space is confirmed. The load plan optimizing unit is configured to depict a three-dimensional visual through the one or more freight forwarder devices for placing the one or more less-than-container loads (LCL) in each shipping container of the one or more shipping containers.

[0053] At step 310, the process 300 includes distributing, by a first computing unit, benefits among one or more freight forwarders once the predefined space in each shipping container of the one or more shipping containers occupied with the one or more less-than-container loads (LCL). The first computing unit is configured with a K-Transactions algorithm to compute the benefits for distributing among the one or more freight forwarders once the pre-booked dynamically defined space is confirmed and the predefined space occupied with the one or more less-than-container loads (LCL). The first computing unit comprises a benefit computing unit. The benefit computing unit is configured to compute and display the benefits earned by each freight forwarder of the one or more freight forwarders for pre-booking the dynamically defined space in each shipping container of the one or more shipping containers.

[0054] In the next step, the process 300 includes generating, by a schedule computing unit, schedule data for allocating the one or more less-than-container loads (LCL) to each shipping container of the one or more shipping containers. In the next step, the process includes allocating, by a container schedule unit, the one or more less-than-container loads (LCL) based on a departure schedule of each shipping container of the one or more shipping containers. The container schedule unit comprises a Top-k sort algorithm with a heap data structure for sorting the departure schedule of each shipping container of the one or more shipping containers.

[0055] While specific language has been used to describe the invention, any limitations arising on account of the same are not intended. As would be apparent to a person skilled in the art, various working modifications may be made to the method in order to implement the inventive concept as taught herein.

[0056] The figures and the foregoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, order of processes described herein may be changed and are not limited to the manner described herein. Moreover, the actions of any flow diagram need not be implemented in the order shown; nor do all of the acts need to be necessarily performed. Also, those acts that are not dependent on other acts may be performed in parallel with the other acts. The scope of embodiments is by no means limited by these specific examples.
, Claims:I/ We claim:
1. A process for dynamically managing a less-than-container load (LCL), comprising:
receiving, through one or more freight forwarder devices (102), input data for shipping one or more less-than-container loads (LCL) of one or more customers in one or more shipping containers;
providing, by a database server (104), a plurality of destination locations upon receiving the input data for shipping the one or more less-than-container loads (LCL);
pre-booking, by a pre-booking unit (106), a dynamically defined space in each shipping container of the one or more shipping containers based on the input data and a destination location from the plurality of destination locations;
generating, by a load plan optimizing unit (108), an optimum plan to place the one or more less-than-container loads (LCL) within the pre-booked dynamically defined space of each shipping container of the one or more shipping containers; and
distributing, by a first computing unit (110), benefits among one or more freight forwarders once a predefined space in each shipping container of the one or more shipping containers occupied with the one or more less-than-container loads (LCL).
2. The process as claimed in claim 1, further comprising registering through a registration module for enabling the one or more freight forwarders to input the input data.
3. The process as claimed in claim 1, wherein the input data comprise an origin location, dimensions, and weight of the one or more less-than-container loads (LCL).
4. The process as claimed in claim 1, wherein the pre-booking unit (106) operatively connected to a rate engine (112),
the rate engine (112) configured to predict a dynamic price for each less-than-container load (LCL) of the one or more less-than-container loads (LCL) based on occupied space of the predefined space in each shipping container of the one or more shipping containers,
the rate engine (112) configured with a conditional reasoning to predict the dynamic price of each less-than-container load (LCL) of the one or more less-than-container loads (LCL) per cubic meter in each shipping container of the one or more shipping containers, and
the rate engine (112) configured to predict the dynamic price of each less-than-container load (LCL) of the one or more less-than-container loads (LCL) based on various price conditions including a freight price, an origin price, and a destination price.
5. The process as claimed in claim 1, further comprising conforming, through a confirmation unit (114), the pre-booked dynamically defined space upon verifying the predicted dynamic price by the one or more customers for each less-than-container load (LCL) of the one or more less-than-container loads (LCL).
6. The process as claimed in claim 1, wherein the load plan optimizing unit (108) is configured with machine learning algorithms to generate the optimum plan once the pre-booked dynamically defined space is confirmed,
the load plan optimizing unit (108) is configured to depict a three-dimensional visual through the one or more freight forwarder devices (102) for placing the one or more less-than-container loads (LCL) in each shipping container of the one or more shipping containers.
7. The process as claimed in claim 1, wherein the first computing unit (110) is configured with a K-Transactions algorithm to compute the benefits for distributing among the one or more freight forwarders once the pre-booked dynamically defined space is confirmed and the predefined space occupied with the one or more less-than-container loads (LCL).
8. The process as claimed in claim 1, wherein the first computing unit (110) comprises a benefit computing unit (116),
the benefit computing unit (116) is configured to compute and display the benefits earned by each freight forwarder of the one or more freight forwarders for pre-booking the dynamically defined space in each shipping container of the one or more shipping containers.
9. The process as claimed in claim 1, further comprising generating, by a schedule computing unit (118), schedule data for allocating the one or more less-than-container loads (LCL) to each shipping container of the one or more shipping containers.
10. The process as claimed in claim 1, further comprising allocating, by a container schedule unit (105), the one or more less-than-container loads (LCL) based on a departure schedule of each shipping container of the one or more shipping containers,
wherein the container schedule unit (105) comprises a Top-k sort algorithm with a heap data structure for sorting the departure schedule of each shipping container of the one or more shipping containers.
11. A system (100) for dynamically managing a less-than-container load (LCL), comprising:
one or more freight forwarder devices (102) adapted to receive input data for shipping one or more less-than-container loads (LCL) of one or more customers in one or more shipping containers;
a database server (104) adapted to provide a plurality of destination locations upon receiving the input data for shipping the one or more less-than-container loads (LCL);
a pre-booking unit (106) operatively connected with the database server (104), adapted to receive a request from the one or more freight forwarder devices (102) for pre-booking a dynamically defined space in each shipping container of the one or more shipping containers;
a load plan optimizing unit (108) operatively connected with the database server (104), adapted to generate an optimum plan to place the one or more less-than-container loads (LCL) within the pre-booked dynamically defined space of each shipping container of the one or more shipping containers; and
a first computing unit (110) operatively connected with the database server (104), adapted to distribute benefits among one or more freight forwarders once a predefined space in each shipping container of the one or more shipping containers occupied with the one or more less-than-container loads (LCL).

Dated this 12th day of May, 2023

Vidya Bhaskar Singh Nandiyal
Patent Agent (IN/PA-2912)
IPexcel Services Private Limited
AGENT FOR APPLICANTS