DESC:FIELD OF DISCLOSURE

The present disclosure relates to transport of goods.

BACKGROUND

Meeting customer demands through planning, control and implementation of the effective movement and storage of goods and services from origin to destination helps companies to reduce expenses and enhance customer service. Such planning involves numerous aspects, including selecting appropriate vendors with the ability to provide transportation facilities; choosing the most effective routes for transportation; and discovering the most competent delivery method. Unwise decisions and poor planning gradually increase expenses and time delay in transporting the goods.

As the world economy is growing at an expeditious rate, industries have to change themselves to meet the needs of the emerging economy. The expansion in global trade occurred in the last two decades has forced industries to change their strategies regarding transportation of goods. The challenge before industries in meeting the growing demand of goods is to not only reduce the cost of shipping the goods, but also deliver the goods in least possible time.

Conventionally, for transporting goods a planning officer is appointed to check the status of available transport vehicles, customer accounts and map the available transport/dealer vehicles with respect to customer indents received in real time. However, the presence of human interventions relating to manual checking and assigning of transport/dealer vehicles, makes such conventional process inefficient and non-transparent. Moreover the complexity of the process requires a planning officer has to interact with multiple input screens and maintain equitable distribution of load to all transporters in order to perform an overall task of shipment of goods from an origin to a destination which takes significant time and substantially increases the chances of error.

Another drawback associated with the conventional process arises when numerous transport vehicles belonging to several transporters provide their services to a company. This poses difficulty in keeping track of the different profit earning factors such as Round Trip kilometer (RTKM), difficult loads and long loads etc., associated with an individual transport vehicle. This can further affect the profit earning capacity of the transporters. Non-uniform distribution of these factors can prove detrimental for transporters which further leads to increased quoted rate for the bids in future tenders. It has been observed that the calculation of all the aforementioned profit earning factors is difficult in the conventional process. In addition, the planning officer can provide an undue advantage to a particular transporter by allocating them easy routes or lesser loads, which might increase the profit margin of the particular transporter.

One more disadvantage associated with the conventional process, are chances of non-uniform utilization of resources. For example, high capacity transport vehicles have less mileage and speed but they have high load bearing capacity, in cases where less freight is loaded on a high capacity vehicle, which lowers the efficiency of the logistic system and leads to higher operating costs.

Another disadvantage associated with the conventional process is employee cost which enterprises have to pay to its employees such as the planning officer, which further increases overall expenses and time for achieving the desired results.

Therefore, there is a need for a system and method which can automatically map received customer indent requests with the available transport vehicles. In addition, there is a need for an efficient system and method that is free from human intervention and error.

OBJECTS

Some of the objects of the present disclosure aimed to ameliorate one or more problems of the prior art or to at least provide a useful alternative are described herein below:

An object of the present disclosure is to provide an automated system and method for loading and delivery of products in transport vehicles.

Another object of the present disclosure is to provide a system and method for optimizing delivery processes in supply chain industry.

Another object of the present disclosure is to provide a system and method that is free from human error and provides transparent assignment of transport vehicles to customers.

Yet another object of the present disclosure is to provide a system and method that decreases the required time to complete the process of loading and delivery of products on transport vehicles.

Still another object of the present disclosure is to provide an efficient system and method for providing uniform distribution of resources such as transport vehicles corresponding to customer indent requests.

Another object of the present disclosure is to provide a system and method that considers factors like Round Trip Kilometer (RTKM), difficult loads, and long loads while mapping a customer indent request with a transport vehicle.

Other objects and advantages of the present disclosure will be more apparent from the following description when read in conjunction with the accompanying figures, which are not intended to limit the scope of the present disclosure.

SUMMARY

In accordance with an aspect of the present disclosure, there is provided a computer implemented system for controlling loading of products on transport vehicles at a source point and delivery of products to a plurality of delivery points, the system comprising:
• an indent controlling module adapted to control a plurality of indents, the indent controlling module comprising:
? a first receiver unit adapted to receive the plurality of indents for ordering a product in a machine readable format from a plurality of customers;
? an extractor unit adapted to extract information related to each indent from the plurality of indents, wherein the information related to each indent is selected from the group consisting of customer type, indent quantity, customer identification, date and time of indent, date of delivery, and location;
? a first processor adapted to analyze the extracted information with a set of parameters pre-stored in a first repository associated with the first processor, wherein the analysis includes categorizing each customer;
? a priority assignor unit adapted to assign a priority value to each indent based on results of the analysis;
• a vehicle card reader unit deployed at the source point, the vehicle card reader adapted to read a vehicle checking card assigned to each transport vehicle to ascertain the availability of each transport vehicle for assigning product load;
• a vehicle reporting module cooperating with the vehicle card reader, the vehicle reporting module adapted to check availability of each transport vehicle, the vehicle reporting module comprising:
? a second receiver unit adapted to receive information pertaining to the availability of each transport vehicle from the vehicle card reader unit;
? a second processor adapted to keep a track of each transport vehicle reporting at the source point for loading of the product, the processor further adapted to categorize each transport vehicle;
• an assignment module cooperating with the indent controlling module and the vehicle reporting module, the assignment module comprising:
? a credit checker adapted to check a financial limit of each customer corresponding to each indent and further approve or disapprove the product to be allocated to each customer based on the available financial limit of each customer;
? a vehicle parameter checker adapted to calculate the value of Round Trip Kilometer (RTKM) of each transport vehicle based on prior logistic history of each transport vehicle for each financial year;
? a request parameter checker adapted to check the value of RTKM of each transport vehicle, based on a starting location and a destination location of each transport vehicle;
? a third processor adapted to map each indent to each transport vehicle, the third processor further adapted to assign each transport vehicle to each indent based on, the assigned priority value, the financial limit of each customer and the value of RTKM;
• a database cooperating with the assignment module, indent management module and the vehicle reporting module, the database adapted to store the extracted information related to each indent including information related to each customer, each vehicle and each location.

Typically, the product is fuel and the customer type is selected from the group consisting of a fuel station owned and operated by a fuel distributing company, a fuel station owned and operated by a fuel producing company, and fuel station owned and operated by a dealer.

Typically, the vehicle card reader is placed in proximity to a location where transport vehicles are parked in the source point.

Typically, the database comprises:
? a customer repository adapted to store information related to each customer, the information related to each customer selected from the group consisting of customer identification, customer credentials, the financial limit of each customer, customer transaction history, customer vehicle preference, customer indent and customer category; wherein the customer indent includes indents from fuel stations owned and operated by the fuel distributing company or the fuel producing company, and indents from fuel stations owned and operated by dealers; and the customer category is selected from the group consisting of topmost category customer, category-A (CAT-A) customer and non-CAT-A customer;
? a vehicle repository adapted to store information related to each transport vehicle, the information related to each transport vehicle selected from the group consisting of vehicle identification, vehicle category, vehicle capacity, vehicle average speed, vehicle availability, vehicle load on RTKM and vehicle reporting history; wherein the vehicle category is selected from the group consisting of a fuel distributing company vehicle, a dealer vehicle and a transporter vehicle;
? a location repository adapted to store information related to each location, the information related to each location selected from the group consisting of, distance to each location, road condition, traffic condition and road taxes;
? a central repository adapted to store information related to all indents across all locations and transport vehicles reported across all locations at a given time.

In accordance with another aspect of the present disclosure, there is provided computer implemented method for controlling loading of products on transport vehicles at a source point and delivery of products to a plurality of delivery points, the method comprising the following steps:
• receiving a plurality of indents for ordering a product from a plurality of customers;
• extracting information related to each indent from the plurality of indents, wherein the information related to each indent is selected from the group consisting of indent quantity, customer type, customer identification, date and time of indent, date of delivery, and location;
• analyzing the extracted information with a set of pre-stored parameters;
• assigning a priority value to each indent based on results of the analysis;
• ascertaining the availability of each transport vehicle for assigning product load;
• checking transport vehicle availability status and categorizing each transport vehicle;
• checking at least a financial limit of each customer corresponding to each indent and further approving or disapproving the product to be allocated to each customer based on the available financial limit of each customer;
• calculating the value of Round Trip Kilometer (RTKM) of each transport vehicle based on prior logistic history of each vehicle for each financial year;
• checking the value of RTKM of each vehicle based on a starting location and a destination location of each transport vehicle;
• mapping each indent to each transport vehicle;
• assigning each transport vehicle to each indent based on the assigned priority value, the financial limit of each customer and the value of RTKM;
• storing the extracted information related to each indent including information related to each customer, each vehicle and each location.

Additionally, the step of extracting information related to each indent includes the step of authenticating the extracted information by comparing at least a customer identification with pre-stored information related to a corresponding customer identification.

Typically, the step of checking the financial limit of each customer includes the step of comparing each customer indent with a pre-stored financial limit corresponding to each customer identification.

Additionally, the step of analyzing the extracted information includes the step of determining each customer category by comparing each customer identification with each pre-stored corresponding customer identification, wherein the customer category is selected from the group consisting of topmost category customer, category-A (CAT-A) customer and non-CAT-A customer;

Additionally, the step of assigning the priority value to each indent further includes the step of generating a priority list of indents based on the priority value assigned to each indent.

Additionally, the step of assigning each transport vehicle to each indent based on the assigned priority value, includes the steps of:
? extracting each vehicle category and each vehicle identification based on pre-stored customer preferences, wherein the vehicle category is selected from the group consisting of a fuel distributing company vehicle , a dealer vehicle and a transporter vehicle;
? checking vehicle availability, vehicle load on RTKM and vehicle reposting history corresponding to the extracted vehicle identification.

BRIEF DESCRIPTION OF ACCOMPANYING DRAWINGS

The system and method of the present disclosure will now be described with the help of the accompanying drawings, in which:

Figure 1 illustrates the block diagram of a computer implemented system for logistic assistance in accordance with the present disclosure.

Figure 2 illustrates the flow chart depicting the steps of a computer implemented method for logistic assistance in accordance with the present disclosure.

DETAILED DESCRIPTION OF ACCOMPANYING DRAWINGS

The system and method of the present disclosure will now be described with reference to the embodiments shown in the accompanying drawings. The embodiments do not limit the scope and ambit of the disclosure. The description relates purely to the examples and preferred embodiments of the disclosed system and its suggested applications.

The system herein and the various features and advantageous details thereof are explained with reference to the non-limiting embodiments in the following description. Descriptions of well-known parameters and processing techniques are omitted so as to not unnecessarily obscure the embodiment herein. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiment herein may be practiced and to further enable those of skill in the art to practice the embodiment herein. Accordingly, the examples should not be construed as limiting the scope of the embodiment herein.

The computer implemented system and method controlling loading and delivery of products on transport vehicles of the present disclosure is described with reference to loading and delivery of products such as fuel, including petrol, diesel, and the like, from a source point such as a fuel depot to multiple delivery points such as fuel/gas stations purely for ease of explanation.

Referring to the accompanying drawings, figure 1 illustrates a block diagram of a computer implemented system of the present disclosure. The system 100 is typically installed and executed on a computing device such as a computer, a terminal, a smartphone, a mobile phone, and the like. The system 100 comprises an indent controlling module 10, a vehicle reporting module 20, an assignment module 30, a database 40 and a vehicle card reader unit 90.

The indent controlling module 10 comprises a first receiver unit for receiving a plurality of customer indent requests sent by plurality of customers to a product distributing or producing company for ordering a product, typically a fuel distributing company or a fuel producing company for ordering fuel. In accordance with one embodiment, the customer indent requests are sent in a machine readable format such as through short message service (SMS), email, customer portals, vendor portals, and the like. The indent controlling module further comprises an extractor 10A, a first processor and a priority assignor 10B. The extractor 10A, in cooperation with the first receiver unit, extracts information related to each indent from the plurality of indents received by the receiver unit. The information related to each indent extracted by the extractor 10A includes but is not limited to indent quantity, customer identity such as email id, phone no. of customers, customer identification (ID), customer type and the like, date and time of request, date of delivery, and location details from the received customer indent requests. The customer type includes fuel/gas stations owned and operated by the fuel distributing company or the fuel producing company generally referred to as Company Owned Operated by a Company Officer (COMCO), fuel/gas stations owned and operated by dealers, and the like. Accordingly, the customer indent requests include indents from fuel stations owned and operated by the fuel distributing company or the fuel producing company generally referred to as COMCO indents, and indents from fuel stations operated by dealers. The first processor, in cooperation with the extractor 10A, analyzes the extracted information with a set of parameters pre-stored in a first repository, such as a temporary register, in the first processor. The set of parameters includes, but is not limited to, customer category, transport vehicles owned by the customer, and the like. Thus the analysis by the first processor includes, but is not limited to, determining a category of each customer by comparing each customer ID with each pre-stored corresponding customer ID. The priority assignor 10B, in cooperation with the first processor, assigns a priority value to each of the received customer indent requests based on the results of the analysis and the customer category determined in the analysis. Typically, COMCO is categorized as topmost category, followed by category-A (CAT-A) customers such as high budget dealers and finally non-CAT-A customers such as low budget dealers.

A vehicle checking card is assigned to each transport vehicle and the vehicle card reader unit (90) is deployed at the source point such as the fuel depot, typically in proximity to a location where transport vehicles are parked. A driver of each transport vehicle upon reaching the parking location in the fuel depot needs to swipe the vehicle checking card in the card reader unit (90) indicating that the particular transport vehicle is available for loading of fuel and delivery of fuel which information is then registered in the system that the transport vehicle has reported for loading of fuel. The transport vehicles are typically tanker trucks that belong to the fuel distributing company, a dealer, a transporter, and the like.

The vehicle reporting module 20 cooperates with the card reader unit (90) and contains the information pertaining to the availability of transport vehicles used for delivery of fuel and tracks the transport vehicles. The vehicle reporting module 20 comprises a second receiver unit and a second processor. The second receiver unit receives the information pertaining to the availability of transport vehicles from the card reader unit (90) installed at the parking location of the transport vehicles and the second processor, in cooperation with the second receiver unit, keeps a track of each transport vehicle reporting at parking location and ready for loading of fuel.

The assignment module 30 runs inbuilt logic and checks on the customer indent requests. The assignment module 30 communicates with the database 40 and the indent management module 10 to receive the customer indent requests in real time. The assignment module 30 maps the customer indent requests with the transport vehicles available from the vehicle reporting module 20. The indent management module 10 includes a credit checker 30A, a vehicle parameter checker 30B, a request parameter checker 30C, and a third processor for mapping each customer indent request to each transport vehicle. The credit checker 30A checks the financial limit corresponding to each extracted customer identity from the customer indent requests received. The credit checker ensures that the load is executed as per the financial limit set for each customer stored into the database 40, by approving or disapproving a quantity of fuel to be allocated and delivered to each customer based on the available financial limit of each customer. In addition, the credit checker segregates the indent with proper color coding as defined by the customer. The vehicle parameter checker 30B checks whether each transport vehicle/tanker truck belongs to the fuel distributing company or to the dealer or to the transporter and calculates the value of Round Trip Kilometer (RTKM) of each transport vehicle, difficult loads and long loads based on the prior logistic history of the transport vehicles. The request parameter checker 30C checks the value of RTKM of each vehicle based on the starting and destination locations retrieved from the customer indent request received. Finally, the third processor maps and assigns each transport vehicle to each customer indent request based on, the assigned priority value, the financial limit of each customer and the value of RTKM. Typically, while mapping the customer indent request with the available transport vehicle, the third processor considers the values generated by the vehicle parameter checker 30B and request parameter checker 30C.

The database 40 stores the extracted information related to each indent including information related to each customer, each vehicle and each location. The database 40 includes a customer repository 50, a logistic vehicle repository 60 a location repository 70 and a central repository 80. The customer repository 50 stores customer related information. In accordance with one embodiment, the customer repository 50 stores customer ID, customer credentials, financial limit, customer transaction history, customer vehicle preference, customer indent requests, customer category and the like. The logistic vehicle repository 60 stores vehicle related information. In accordance with one embodiment logistic vehicle repository 60 stores a vehicle ID, vehicle category, vehicle capacity, vehicle average speed and the like. The vehicle category typically includes a fuel distributing company vehicle, a dealer vehicle and a transporter vehicle. The location repository 70 stores location related information. In accordance with one embodiment location repository 70 stores a distance to the location, road condition, traffic condition, road taxes to be paid and the like. The central repository 80 stores information related to all indents across all locations and transport vehicles reported across all locations at a given time.

Referring to figure 2, a flow chart depicting the steps involved in a computer implemented method for executing the aforementioned system 100 for loading and delivery of products on transport vehicles, is illustrated. The method includes the following steps:
• receiving a plurality of customer indent requests from a plurality of customers;
• extracting information related to each indent, including at least a customer ID, date and time of indent request, date of delivery of a product such as fuel, customer indent quantity, customer type and the like from the plurality of customer indent requests;
• analyzing the extracted information with a set of pre-stored parameters;
• assigning a priority value to each indent based on results of the analysis;
• ascertaining the availability of each transport vehicle for assigning fuel load;
• checking vehicle availability status and categorizing each transport vehicle;
• checking at least a financial limit of the each extracted customer ID from the customer indent requests and further approving or disapproving fuel to be allocated to each customer based on the available financial limit of each customer;
• calculating the value of revenue ton kilometer (RTKM) of each vehicle based on prior logistic history of each vehicle;
• checking the value of RTKM of each vehicle based on a starting location and a destination location of each transport vehicle;
• mapping each indent to each transport vehicle;
• assigning each transport vehicle to each indent request based on the assigned priority value, the financial limit of each customer and the value of RTKM; and
• storing the extracted information related to each indent including information related to each customer, each vehicle and each location.

The step of extracting information related to each indent request includes authenticating the extracted information by comparing at least a customer ID with pre-stored information related to a corresponding customer ID.

The step of checking the financial limit of each customer includes comparing each customer indent with a financial limit corresponding to each customer ID pre-stored in the customer repository 50 in the database 40.

The step of analyzing the extracted information includes determining each customer category by comparing each customer ID with each corresponding customer ID pre-stored in the customer repository 50 in the database 40, wherein the customer category is selected from the group consisting of topmost category customer, category-A (CAT-A) customer and non-CAT-A customer.

The step of assigning the priority value to each indent request includes generating a priority list of customer indent requests based on the priority value assigned to each customer indent request.

The step of assigning each transport vehicle based on the priority value assigned to each customer indent request further includes the steps of,
• extracting each vehicle category, vehicle ID, based on the customer preferences corresponding to the customer ID retrieved from the customer repository 50 and the vehicle repository 60, wherein the vehicle category is selected from the group consisting of a fuel distributing company vehicle, a dealer vehicle and a transporter vehicle;
• checking the transport vehicle availability, vehicle load on RTKM, and vehicle reporting history corresponding to the extracted vehicle ID by accessing the vehicle repository 60.

Additionally, the method further includes generating analytical reports based on the completion of the delivery of fuel corresponding to the customer indent requests, vehicle reporting history and vehicle load distribution based on RTKM.

Thus, the computer implemented system and method of the present disclosure provides an efficient automated system and method for loading and delivery of products on transport vehicles that is free from human intervention and error, which can automatically map the received customer indent requests with the available transport vehicles.

TECHNICAL ADVANCEMENTS AND ECONOMIC SIGNIFICANCE

The technical advancements offered by the computer implemented system and method for controlling loading and delivery of products on transport vehicles in accordance with the present disclosure include the realization of:
• an automated system and method for loading and delivery of products in transport vehicles;
• a system and method for optimizing the delivery processes in supply chain industry;
• a system and method that is free from human error and provides transparent assignment of transport vehicles to customers;
• a system and method that decreases the required time to complete the process of loading and delivery of products on transport vehicles;
• an efficient system and method for providing uniform distribution of resources such as transport vehicles corresponding to customer indent requests;
• a system and method that considers parameters like Round Trip Kilometer (RTKM), difficult roads, and long roads while mapping a customer indent request with a transport vehicle; and
• a cost effective and a reliable system.

Throughout this specification the word “comprise”, or variations such as “comprises” or “comprising”, will be understood to imply the inclusion of a stated element, integer or step, or group of elements, integers or steps, but not the exclusion of any other element, integer or step, or group of elements, integers or steps.

The use of the expression “at least” or “at least one” suggests the use of one or more elements or ingredients or quantities, as the use may be in the embodiment of the invention to achieve one or more of the desired objects or results.

The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the embodiments as described herein. ,CLAIMS:1) A computer implemented system for controlling loading of products on transport vehicles at a source point and delivery of products to a plurality of delivery points, said system comprising:
• an indent controlling module adapted to control a plurality of indents, said indent controlling module comprising:
? a first receiver unit adapted to receive said plurality of indents for ordering a product in a machine readable format from a plurality of customers;
? an extractor unit adapted to extract information related to each indent from said plurality of indents, wherein said information related to each indent is selected from the group consisting of indent quantity, customer type, customer identification, date and time of indent, date of delivery, and location;
? a first processor adapted to analyze the extracted information with a set of parameters pre-stored in a first repository associated with said first processor, wherein the analysis includes categorizing each customer;
? a priority assignor unit adapted to assign a priority value to each indent based on results of the analysis;
• a vehicle card reader unit deployed at said source point, said vehicle card reader adapted to read a vehicle checking card assigned to each transport vehicle to ascertain the availability of each transport vehicle for assigning product load;
• a vehicle reporting module cooperating with said vehicle card reader, said vehicle reporting module adapted to check availability of each transport vehicle, said vehicle reporting module comprising:
? a second receiver unit adapted to receive information pertaining to the availability of each transport vehicle from said vehicle card reader unit;
? a second processor adapted to keep a track of each transport vehicle reporting at said source point for loading of the product, said processor further adapted to categorize each transport vehicle;
• an assignment module cooperating with said indent controlling module and said vehicle reporting module, said assignment module comprising:
? a credit checker adapted to check a financial limit of each customer corresponding to each indent and further approve or disapprove the product to be allocated to each customer based on the available financial limit of each customer;
? a vehicle parameter checker adapted to calculate the value of Round trip Kilometer (RTKM) of each transport vehicle based on prior logistic history of each transport vehicle for each financial year;
? a request parameter checker adapted to check the value of RTKM of each transport vehicle mapped to each indent, based on a starting location and a destination location of each transport vehicle;
? a third processor adapted to map each indent to each transport vehicle, said third processor further adapted to assign each transport vehicle to each indent based on, the assigned priority value, said financial limit of each customer and the value of RTKM;
• a database cooperating with said assignment module, indent management module and said vehicle reporting module, said database adapted to store the extracted information related to each indent including information related to each customer, each vehicle and each location.

2) The system as claimed in claim 1, wherein said product is fuel and said customer type is selected from the group consisting of a fuel station owned and operated by a fuel distributing company, a fuel station owned and operated by a fuel producing company, and fuel station owned and operated by a dealer.

3) The system as claimed in claim 1, wherein said vehicle card reader unit is placed in proximity to a location where transport vehicles are parked in said source point.

4) The system as claimed in claims 1 and 2, wherein said database comprises:
? a customer repository adapted to store information related to each customer, the information related to each customer selected from the group consisting of customer identification, customer credentials, the financial limit of each customer, customer transaction history, customer vehicle preference, customer indent requests and customer category; wherein said customer indent includes indents from fuel stations owned and operated by the fuel distributing company or the fuel producing company, and indents from fuel stations owned and operated by dealers; and said customer category is selected from the group consisting of topmost category customer, category-A (CAT-A) customer and non-CAT-A customer;
? a vehicle repository adapted to store information related to each transport vehicle, the information related to each transport vehicle selected from the group consisting of vehicle identification, vehicle category, vehicle capacity, vehicle average speed, vehicle availability, vehicle load on RTKM and vehicle reporting history; wherein said vehicle category is selected from the group consisting of a fuel distributing company vehicle, a dealer vehicle and a transporter vehicle;
? a location repository adapted to store information related to each location, the information related to each location selected from the group consisting of, distance to each location, road condition, traffic condition and road taxes; and
? a central repository adapted to store information related to all indents across all locations and transport vehicles reported across all locations at a given time.

5) A computer implemented method for controlling loading of products on transport vehicles at a source point and delivery of products to a plurality of delivery points, the method comprising the following steps:
• receiving a plurality of indents for ordering a product from a plurality of customers;
• extracting information related to each indent from the plurality of indents, wherein the information related to each indent is selected from the group consisting of indent quantity, customer type, customer identification, date and time of indent, date of delivery, and location;
• analyzing the extracted information with a set of pre-stored parameters;
• assigning a priority value to each indent based on results of the analysis;
• ascertaining the availability of each transport vehicle for assigning product load;
• checking transport vehicle availability status and categorizing each transport vehicle;
• checking at least a financial limit of each customer corresponding to each indent and approving or disapproving the product to be allocated to each customer based on the available financial limit of each customer;
• calculating the value of Round Trip Kilometer (RTKM) of each transport vehicle based on prior logistic history of each vehicle for each financial year;
• checking the value of RTKM of each vehicle based on a starting location and a destination location of each transport vehicle;
• mapping each indent to each transport vehicle;
• assigning each transport vehicle to each indent based on the assigned priority value, the financial limit of each customer and the value of RTKM;
• storing the extracted information related to each indent including information related to each customer, each vehicle and each location.

6) The method as claimed in claim 4, wherein the step of extracting information related to each indent includes the step of authenticating the extracted information by comparing at least a customer identification with pre-stored information related to a corresponding customer identification.

7) The method as claimed in claim 4, wherein the step of checking the financial limit of each customer includes the step of comparing each customer indent with a pre-stored financial limit corresponding to each customer identification.

8) The method as claimed in claim 4, wherein the step of analyzing the extracted information includes the step of determining each customer category by comparing each customer identification with each pre-stored corresponding customer identification, wherein the customer category is selected from the group consisting of topmost category customer, category-A (CAT-A) customer and non-CAT-A customer;

9) The method as claimed in claim 4, wherein the step of assigning the priority value to each indent further includes the step of generating a priority list of indents based on the priority value assigned to each indent.

10) The method as claimed in claim 5, wherein the step of assigning each transport vehicle to each indent based on the assigned priority value, includes the steps of:
? extracting each vehicle category and each vehicle identification based on pre-stored customer preferences, wherein the vehicle category is selected from the group consisting of a fuel distributing company vehicle, a dealer vehicle and a transporter vehicle;
? checking vehicle availability, vehicle load on RTKM and vehicle reposting history corresponding to the extracted vehicle identification.