Description:FIELD OF THE INVENTION

The present disclosure relates to multiple domains such as e-commerce, supply chain management, logistics, materials sourcing, and procurement, in more detail, with the invention touching upon the task of source material procurement to then lay it out on a detailed e-commerce workflow with logical analysis, it stays true to the juncture of these fields enabling the proposed invention to tackle and cater to many issues. More particularly, an end-to-end seamless pipeline system and method for a virtual warehouse and scalable-hyperlocal pricing.

BACKGROUND OF THE INVENTION

With the glowing stretch of increased demands in the field of Construction, customers are exposed to a wide variety of challenges in determining the optimal solution for their constrained budget. The Construction pipeline is faceted with multiple phases and material procurement accentuates the base phase by which the pipeline continues.

These growing demands have posed a variable in which prices of various Construction materials are frequently subject to change. Hence, clients are usually dealt with an extremely taxing effort in sourcing materials at the best price, which subsequently leads to longer time and an overall inefficient/uncertain procurement process.

The sellers are often limited in terms of logistics for the delivery of the required materials. Since building materials require a lot of care in shipping along with an overhead cost, the sellers often subject their services to a specific distance/pin code. From the perspective of the clients, he/she may not be able to get the best deals due to the logistics overhead that may be levied.

E-Commerce websites rely on pin code for estimating the logistics which usually goes in vain because pin code may/may not be an optimal way to cater to a particular customer’s location needs and the overall budget is again perturbed.

In view of the foregoing discussion, it is portrayed that there is a need to have an end-to-end seamless pipeline system and method for a virtual warehouse and scalable-hyperlocal pricing. The system emphasizes the priority of the clients and focuses on bringing forth the best possible deals taking into account all the multivariable coherence and carving out an innovative way to handle all the above use cases by maintaining the crux of hyper localization. The culmination of this process is visualized in the form of a Web Application which illustrates in detail the entire process of procurement along with Logical Analysis to provide the best possible experience to the client.

SUMMARY OF THE INVENTION

The present disclosure seeks to provide an end-to-end seamless pipeline system and method that emphasizes the priority of the clients and focuses on bringing forth the best possible deals taking into account all the multivariable coherence and carving out an innovative way to handle all the above use cases by maintaining the crux of hyper localization. The invention proposes the use of virtual warehouses (VWs), which are defined as the smallest region in the form factor of a circle expanding over a specific radius with its origin at the town center. By keeping the concept of hyper localization in mind, there may be multiple Virtual Warehouses in and around regions, designed to attend to multiple clients with varying requirements. The Virtual Warehouses are built around the foundation of complete geographical coverage; attending to district, state, and national levels. Segregating and managing the Virtual Warehouses at a granular level structures the system to tackle any widespread order at any given location (Grouping the Virtual Warehouses). The Virtual Warehouses house multiple sellers in and around its area, the sellers offer their “deals”, which is the price pertaining to materials for the construction process. All the repository of information lies in our DB which is constantly updated on priority, the information is then congregated onto a single-view dashboard with its elegantly spaced-out views of the admission to review the potential progress of any request. When a client issues an order, the system logically calculates the Virtual Warehouse to which the client belongs, after which the system continues to process all the available deals present in that Virtual Warehouse at that specific time period. The technique processes the request and returns the best possible deal the client can obtain for the specified materials. So, for any given resource requirement/order from a project, the system automatically chooses the best deal from a Virtual Warehouse deal, a district deal, and state or country-wide deals depending on the site location and quantity requirements. The dashboard shows the entire process of the pipeline with enhanced views of the finer details, it also dynamically updates the sections of the Virtual Warehouse and the deals based on the price of the required resource.

In an embodiment, an end-to-end seamless pipeline system for a virtual warehouse and scalable-hyperlocal pricing is disclosed. The system includes a searching device associated to procure deals from vendors in a particular location as per the requirements of a client upon considering a set of parameters dealt forward by the vendors in the process. The system further includes a cloud server platform coupled with the searching device to store the procured deals and associated information. The system further includes a verification device in connection with the cloud server platform to verify a designated virtual warehouse (VW) in and around the region based on the client’s location, wherein a new virtual warehouse is generated with a user-defined specification and a database is updated in case of unavailability of the virtual warehouse nearby the location or the process flows on to the next step in the pipeline in case of availability of the virtual warehouse nearby the location. The system further includes a status flag connected to the verification device to indicate the urgency of the project and start the project flows depending upon the urgency status. The system further includes a graphical user interface in association with the status flag and a controlling unit to generate a quote for the client with default prices set for required resources, wherein the prices are subject to updates in subsequent stages to ensure optimal prices and shipping rates. The system further includes a logistics/shipment unit wirelessly connected to the graphical user interface to control the flow of logistics from the source to the client's target location, wherein the resources are procured for the amount calculated by the technique for the given deals by the vendors once the shipment process is initiated thereby the procured resources proceed to the shipment process, where the logistics are managed and updated accordingly in the database.

In another embodiment, an end-to-end seamless pipeline method for a virtual warehouse and scalable-hyperlocal pricing is disclosed. The method includes procuring deals from vendors in a particular location as per the requirements of a client upon considering a set of parameters dealt forward by the vendors in the process through a searching device. The method further includes storing the procured deals and information of the deals using a cloud server platform. The method further includes verifying a designated virtual warehouse (VW) in and around the region based on the client’s location by a verification device. The method further includes generating a new virtual warehouse with the given specification and updating the database in case of unavailability of the virtual warehouse nearby the location or the process flows on to the next step in the pipeline in case of availability of the virtual warehouse nearby the location. The method further includes indicating the urgency of the project and starting the project flows depending upon the urgency status using a status flag. The method further includes generating a quote for the client and the default prices of the resources required are usually set for the client by a controlling unit coupled to a graphical user interface, wherein the default prices undergo updates in the following stages to account for the best prices and shipping rates. The method further includes controlling the flow of logistics from the source to the client's target location using a logistics/shipment unit, wherein the resources are procured for the amount calculated by the technique for the given deals by the vendors once the shipment process is initiated thereby the procured resources proceed to the shipment process, where the logistics are managed and updated accordingly in the database.

An object of the present disclosure is to deliver/crack the best deals for the clients and give them a seamless experience for procuring materials.

Another object of the present disclosure is to focus on bringing forth the best possible deals taking into account all the multivariable coherence and carving out an innovative way to handle all the above use cases by maintaining the crux of hyper localization.

Another object of the present disclosure is to collect a repository of information for the deals specified by the seller for various materials involved in the construction pipeline by taking into account hyper localization.

Another object of the present disclosure is to look after the seamless flow of logistics when it comes to the procurement and delivery of any of the procured goods.

Another object of the present disclosure is to highlight the client’s target region in determining the best possible deal and delivery.

Another object of the present disclosure is to eliminate the burden levied on the customer who generally, exhaustively performs the search to explore and culminate deals from various sellers in and around his/her location.

Another object of the present disclosure is to create an end-to-end dashboard with augmented features to track the current status, raise a new approval, and select the best deals by our technique over the available stack of updated information.

Another object of the present disclosure is to avoid the unnecessary inefficiencies involved in negotiating deals and shipping rates for every site and order.

Another object of the present disclosure is to resilience to structuring a system capable of adapting to various edge-case conditions that may be spotlighted based on the customer’s budget, requirements, and location.

Another object of the present disclosure is to prioritize a self-tolerant/scalable system capable of catering to any bulk requirements from multiple clients at the same time.

Another object of the present disclosure is to focus on a granular to higher-level geographical coverage catering to multiple demographics and resilient enough to build on a new foundation at any point.

Yet another object of the present invention is to deliver an expeditious and cost-effective end-to-end seamless pipeline method for a virtual warehouse and scalable-hyperlocal pricing.

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

BRIEF DESCRIPTION OF FIGURES

These and other features, aspects, and advantages of the present disclosure will become better understood when the following detailed description is read concerning the accompanying drawings in which like characters represent like parts throughout the drawings, wherein:

Figure 1 illustrates a block diagram of an end-to-end seamless pipeline system for a virtual warehouse and scalable-hyperlocal pricing in accordance with an embodiment of the present disclosure;
Figure 2 illustrates a flow chart of an end-to-end seamless pipeline method for a virtual warehouse and scalable-hyperlocal pricing in accordance with an embodiment of the present disclosure;
Figure 3 illustrates a flow chart of the pipeline involved in the virtual warehouse process in accordance with an embodiment of the present disclosure;
Figure 4 illustrates seller/vendor inventory information in accordance with an embodiment of the present disclosure;
Figure 5 illustrates data about the different virtual warehouses present in accordance with an embodiment of the present disclosure;
Figure 6 illustrates an overview page detailing all the available projects in accordance with an embodiment of the present disclosure;
Figure 7 illustrates project-specific details in accordance with an embodiment of the present disclosure;
Figure 8 illustrates project-specific details - resources in accordance with an embodiment of the present disclosure;
Figure 9 illustrates creating the quote for the client in accordance with an embodiment of the present disclosure;
Figure 10 illustrates the final cost calculation of the resource in accordance with an embodiment of the present disclosure;
Figure 11 illustrates placing the final order for the client in accordance with an embodiment of the present disclosure;
Figure 12 illustrates the shipment page in accordance with an embodiment of the present disclosure; and
Figure 13 illustrates shipment status updates in accordance with an embodiment of the present disclosure.

Further, skilled artisans will appreciate those elements in the drawings are illustrated for simplicity and may not have necessarily been drawn to scale. For example, the flow charts illustrate the method in terms of the most prominent steps involved to help to improve understanding of aspects of the present disclosure. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the drawings by conventional symbols, and the drawings may show only those specific details that are pertinent to understanding the embodiments of the present disclosure so as not to obscure the drawings with details that will be readily apparent to those of ordinary skill in the art having the benefit of the description herein.

DETAILED DESCRIPTION:

To promote an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the drawings and specific language will be used to describe the same. It will nevertheless be understood that no limitation of the scope of the invention is thereby intended, such alterations and further modifications in the illustrated system, and such further applications of the principles of the invention as illustrated therein being contemplated as would normally occur to one skilled in the art to which the invention relates.

It will be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and explanatory of the invention and are not intended to be restrictive thereof.

Reference throughout this specification to “an aspect”, “another aspect” or similar language means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present disclosure. Thus, appearances of the phrase “in an embodiment”, “in another embodiment” and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.

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 process or method. Similarly, one or more devices or sub-systems or elements or structures or components proceeded by "comprises...a" does not, without more constraints, preclude the existence of other devices or other sub-systems or other elements or other structures or other components or additional devices or additional sub-systems or additional elements or additional structures or additional components.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The system, methods, and examples provided herein are illustrative only and not intended to be limiting.

Embodiments of the present disclosure will be described below in detail concerning the accompanying drawings.

Referring to Figure 1, a block diagram of an end-to-end seamless pipeline system for a virtual warehouse and scalable-hyperlocal pricing is illustrated in accordance with an embodiment of the present disclosure. System 100 includes a searching device (102) associated to procure deals from vendors in a particular location as per the requirements of a client upon considering a set of parameters dealt forward by the vendors in the process.

In an embodiment, a cloud server platform (104) is coupled to the searching device (102) to store the procured deals and associated information.

In an embodiment, a verification device (106) is in connection with the cloud server platform (104) to verify a designated virtual warehouse (VW) in and around the region based on the client’s location. A new virtual warehouse is generated with a user-defined specification and a database (114) is updated in case of unavailability of the virtual warehouse nearby the location or the process flows on to the next step in the pipeline in case of availability of the virtual warehouse nearby the location.

In an embodiment, a status flag (108) is connected to the verification device (106) to indicate the urgency of the project and start the project flows depending upon the urgency status.

In an embodiment, a graphical user interface (110) is in association with the status flag (108) and having a controlling unit to generate a quote for the client with default prices set for required resources, wherein the prices being subject to updates in subsequent stages to ensure optimal prices and shipping rates.

In an embodiment, a logistics/shipment unit (112) is wirelessly connected to the graphical user interface (110) to control the flow of logistics from the source to the client's target location, wherein the resources are procured for the amount calculated by the technique for the given deals by the vendors once the shipment process is initiated thereby the procured resources proceed to the shipment process, where the logistics are managed and updated accordingly in the database (114).

In another embodiment, an analysis module is further configured with artificial intelligence capabilities to accurately assess and predict deal dependence, required profit margins, and minimum order quantities based on historical data. The database (114) coupled with the cloud server platform (104) to store the output of the analysis module. The stored deal information includes attributes such as price margins, product name, model, expiry date of the deal, region, display price, and the price desired by the seller.

In another embodiment, a project generation module is activated upon validation of the existence of a suitable virtual warehouse and further configured with machine learning capabilities to anticipate the client's requirements and predict necessary progress steps based on past project data. The project generation module is designed to manage and host information specific to the client's requirements and the predicted progress steps to fulfill the same, enhancing the efficiency and accuracy of project planning and execution.

In another embodiment, a tracking unit (116) is deployed to monitor the current status and details of the virtual warehouse assigned to various deals provided by the seller but is also integrated with the Internet of Things (IoT) capabilities for real-time tracking and enhanced monitoring of the inventory status, delivery process, and other critical logistics information. The IoT-enhanced tracking unit (116) further implements additional instructions specified by the client for improving the precision and efficiency of logistics and inventory management.

In another embodiment, the tracking module monitors and forecasts trends based on project-specific details selected from project date, project name, location, the virtual warehouse associated with it, category type, and current status, wherein the tracked and predicted information facilitated by the tracking module proves to be vital for subsequent stages of the process and for tracking updates and predicting future needs specific to the client, thereby optimizing project planning and execution.

In another embodiment, a resources table is generated to house details of each material required by the client, with data selected from quantity, desired price by the seller, and purchase status.

In another embodiment, an information processing module is enhanced with AI-based optimization algorithms to evaluate a set of parameters selected from item price, shipping costs, location, and quantity, and dynamically calculate and adjust the most cost-effective price for the client's required set of resources, wherein the AI-based optimization algorithm leverages real-time market trends, historical data, and predictive models to deliver optimal pricing strategies, thus ensuring cost-effectiveness and competitiveness.

Figure 2 illustrates a flow chart of an end-to-end seamless pipeline method for a virtual warehouse and scalable-hyperlocal pricing in accordance with an embodiment of the present disclosure. At step 202, method 200 includes procuring deals from vendors in a particular location as per the requirements of a client upon considering a set of parameters dealt forward by the vendors in the process through a searching device (102).

At step 204, method 200 includes storing the procured deals and information of the deals using a cloud server platform (104).

At step 206, method 200 includes verifying a designated virtual warehouse (VW) in and around the region based on the client’s location by a verification device (106).

At step 208, method 200 includes generating a new virtual warehouse with the given specification and updating the database (114) in case of unavailability of the virtual warehouse nearby the location or the process flows on to the next step in the pipeline in case of availability of the virtual warehouse nearby the location.

At step 210, method 200 includes indicating the urgency of the project and starting the project flows depending upon the urgency status using a status flag (108).

At step 212, method 200 includes generating a quote for the client and the default prices of the resources required are usually set for the client by a controlling unit coupled to a graphical user interface (110), wherein the default prices undergo updates in the following stages to account for the best prices and shipping rates.

At step 212, method 200 includes controlling the flow of logistics from the source to the client's target location using a logistics/shipment unit (112), wherein the resources are procured for the amount calculated by the technique for the given deals by the vendors once the shipment process is initiated thereby the procured resources proceed to the shipment process, where the logistics are managed and updated accordingly in the database (114).

In one embodiment, method 200 further includes collecting a repository of information for the deals as defined by the seller for various materials involved in the construction pipeline, wherein this process incorporates hyperlocal considerations.

In one embodiment, method 200 further includes generating an end-to-end dashboard with augmented features to monitor the current status, initiate new approvals, and select optimal deals from the available stack of updated information, thereby eliminating inefficiencies associated with negotiating deals and shipping rates for each site and order.

Figure 3 illustrates a flow chart of the pipeline involved in the virtual warehouse process in accordance with an embodiment of the present disclosure. The invention proposes the use of “Virtual Warehouses” (VWs), which are defined as the smallest region in the form factor of a circle expanding over a specific radius with its origin at the town center. By keeping the concept of hyper localization in mind, there may be multiple Virtual Warehouses in and around regions, designed to attend to multiple clients with varying requirements. The Virtual Warehouses are built around the foundation of complete geographical coverage; attending to district, state, and national levels. Segregating and managing the Virtual Warehouses at a granular level structures the system to tackle any widespread order at any given location (Grouping the Virtual Warehouses). The Virtual Warehouses house multiple sellers in and around its area, the sellers offer their “deals”, which is the price pertaining to materials for the construction process. All the repository of information lies in our DB which is constantly updated on priority, the information is then congregated onto a single-view dashboard with its elegantly spaced out views of the admission to review the potential progress of any request. When a client issues an order, the system logically calculates the Virtual Warehouse to which the client belongs, after which the system continues to process all the available deals present in that Virtual Warehouse at that specific time period. The technique processes the request and returns the best possible deal the client can obtain for the specified materials. So for any given resource requirement/order from a project, the system automatically chooses the best deal from a Virtual Warehouse deal, a district deal, and state or country-wide deals depending on the site location and quantity requirements. The dashboard shows the entire process of the pipeline with enhanced views of the finer details, it also dynamically updates the sections of the Virtual Warehouse and the deals based on the price of the required resource.
The system is capable of catering to a wide variety of customers, by keeping into account the daily fluctuation of rates for all the sellers in the various zones of the Virtual Warehouse. The system is built on integrity, consistency, low latency, and adaptability to any possible scenario. The Virtual Warehouse has been put into real-time use, and its ability to source/extract/analyze and infer information has been unprecedented and praised by our valuable customers. This system not only saves time but also accounts for resource availability and finding optimal deals for the specified resource. This forms our foundation for a vigilant system that lives on scalability as it allows us to ensure complete coverage at all times with active deals ready and available anytime an order needs to be placed.
The Virtual Warehouse system is initiated by a client reaching out to create an order. The forthcoming processes include the Supply Chain Department scouring over multiple Vendors to obtain deals based on various materials, quantities, and locations. The data is then stored in the DB as an information repository which is used in the subsequent stages (this is performed to remain consistent with the growing market trends and source all the information for the best price).
A decision is made which determines whether a Virtual Warehouse exists in and around the location of the client. If it doesn’t, then a new Virtual Warehouse is created with its epicenter around the town center to cater to the newly calculated radii of coverage.
The technique creates a new project for the client and a quote calculation for the specified resources is then initiated. Inputs of various parameters such as Location, Quantity, and Budget are taken into account to extract the best possible deal for the client. The subsequent Virtual Warehouse is then selected and the final deal is returned by the technique. The seller to whom the best deals belong is then triggered for the purchase and the request is then forwarded to the Logistics Team for initiating shipment.
Figure 4 illustrates seller/vendor inventory information in accordance with an embodiment of the present disclosure. The methodology of creating an end-to-end seamless pipeline for the Virtual Warehouse is that of a methodical and vigilant process. To start the process, the client elaborates on their requirements, including the resources, quantity, and location.
Module 1 deals with the Supply Chain team performing exhaustive searches to gain finer insights and procure the best deals from the vendors in a particular location as per the requirements of the client. The team takes into consideration all the various parameters dealt forward by the Vendors in the process. The deal dependence and the margin of profit required along with the data of “Minimum Order Quantity” are surveyed and stored in our schematic and elaborate DB. Along with the price margins, data such as the “Product Name”, “Model”, “Expiry Date of the Deal”, “Region”, “Display Price” and “Price the Seller Wants” are collected.

Figure 5 illustrates data about the different virtual warehouses present in accordance with an embodiment of the present disclosure. After performing the survey, based on the Client’s location the technique checks whether there’s a designated Virtual Warehouse in and around the region. If there is one, the process flows on to the next step in the pipeline. Else, a brand new Virtual Warehouse with the given specification is created and updated in the DB.

Figure 6 illustrates an overview page detailing all the available projects in accordance with an embodiment of the present disclosure. After finalizing the existence of the Virtual Warehouse, the flow proceeds to the project creation section for the client. The “Project” section is accountable for hosting information relating to that specific client’s requirements and the necessary progress steps for the same. The project will help the system to track the current status, and Virtual Warehouse Details, assign to the various deals provided by the seller, and carry out any additional suggestions specified by the client.

Figure 7 illustrates project-specific details in accordance with an embodiment of the present disclosure. The project-specific details including the Project Date, Project name, Location, the Virtual Warehouse it belongs to, the type of category, and the current status is tracked. This information proves to be vital in the later stages and also in tracking the updates about that particular client. There also exists a status flag 108 that indicates the urgency of the project. Depending upon the urgency status, the project flows are initiated.

Figure 8 illustrates project-specific details - resources in accordance with an embodiment of the present disclosure. This is followed by creating a quote for the client. The default prices of the resources required are usually set for the client. These will undergo updates in the following stages to account for the best prices and also shipping rates. The resources table hosts all the materials required for the customer and is elaborated in detail by collecting information such as the Quantity, Price the Seller Wants, and Purchase Status.

Figure 9 illustrates creating the quote for the client in accordance with an embodiment of the present disclosure. Our novel system then processes the information by taking into account various parameters such as Item Price, Shipping Amount, Location, and Quantity to best determine the most optimal price for the given set of resources for the client. The technique works as follows:
Pseudo Code:
[Optimal Price Selection]
Input details such as Location, Pincode and Quantity:
# find optimal Virtual Warehouse
for the given pincode -> iterate through VWs:
call Google Maps API to calculate the distance from the client to the Virtual Warehouse
assign the Virtual Warehouse which is in the closest proximity to the Client as the target Virtual Warehouse
for vendors in the target Virtual Warehouse:
Calculate the deal for the client (Taking into account the following precedence: Total Cost [Price of the item + Shipping Cost + Quantity] > Distance)
choose the minimum deal from the previous iteration;
# This result is taken to be the final deal which would provide the most optimal price quote for the client [This deal is created by taking into account; Price, Shipping Cost, Location, and Quantity around the Virtual Warehouse]
The final split up for the client is then computed after obtaining the results from the technique for the most optimal price. The selected order is then processed and passed on to the logistics team to begin shipping the required resources.

Figure 10 illustrates the final cost calculation of the resource in accordance with an embodiment of the present disclosure.

Figure 11 illustrates placing the final order for the client in accordance with an embodiment of the present disclosure.

Figure 12 illustrates the shipment page in accordance with an embodiment of the present disclosure. After deciding upon the final quote for the client, the process flows onto the logistics/shipment module. This module is responsible for managing the entire flow of logistics from the source to the client's target location. Once the shipment process is initiated, the resources are then procured for the amount calculated by the technique for the given deals by the vendors. Then the procured resources proceed to the shipment process, where the logistics are managed and updated accordingly in the Application.

Figure 13 illustrates shipment status updates in accordance with an embodiment of the present disclosure. The shipment page as in Fig 12 will contain information about the seller, the final price, and the various invoices interwoven in the process. Fig 13 illustrates the status of the shipment and its updates to track the resources. The split of all the resources is accounted for and detailed on the pages.
Our main objective hovering over the invention is to deliver/crack the best deals for the clients and give them a seamless experience for procuring materials. The following are our checklists/goals that are tried to achieve from the proposed invention:
1. By taking into account hyper localization, collect a repository of information for the deals specified by the seller for various materials involved in the construction pipeline
2. To look after the seamless flow of logistics when it comes to procurement and delivery of any of the procured goods
3. Highlighting the client’s target region and subsequently using our technique in determining the best possible deal and delivery
4. Eliminating the burden levied on the customer who generally, exhaustively performs the search to explore and culminate deals from various sellers in and around his/her location
5. Create an end-to-end dashboard with augmented features to track the current status, raise a new approval, and select the best deals by our technique over the available stack of updated information
6. Avoid the unnecessary inefficiencies involved in negotiating deals and shipping rates for every site and order
7. Resilience to structuring a system capable of adapting to various edge-case conditions that may be spotlighted based on the customer’s budget, requirements, and location
8. Prioritize a self-tolerant/scalable system capable of catering to any bulk requirements from multiple clients at the same time
9. Focus on a granular to a higher-level geographical coverage catering to multiple demographics and resilient enough to build on a new foundation at any point
The invention has already been put in place and is to extensive use. The addition of the Virtual Warehouse system creates a gallant profile for every client and our process has streamlined the ins and outs of material procurement for the end consumers.
By utilizing the system in real-day scenarios, the only noticeable point where we find ourselves troubled is the logistics that may be intertwined with the constraint of terrain at a particular location. The shipment of materials at certain terrains is of strife to us. But our goal standards of the concrete system putting the effect in place remains core here. In such scenarios of terrains, we’ve drafted multiple solutions involving expanding our baseline structure which is discussed in the forthcoming sessions.

In an alternate embodiment, the current coverage of the Virtual Warehouse is of the form factor of a circle (around a radius). To account for complex geographical plains and terrains, we’ll be adapting to that of a polygon with those vertices around different regions to cover and accommodate larger spectra of orders. This would help in overcoming our limitation of terrains and make our system more versatile.

The drawings and the forgoing 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, orders 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 necessarily need to be 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. Numerous variations, whether explicitly given in the specification or not, such as differences in structure, dimension, and use of material, are possible. The scope of embodiments is at least as broad as given by the following claims.

Benefits, other advantages, and solutions to problems have been described above about specific embodiments. However, the benefits, advantages, solutions to problems, and any component(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential feature or component of any or all the claims. , Claims:1. An end-to-end seamless pipeline system for a virtual warehouse and scalable-hyperlocal pricing, the system comprises:
a searching device (102) associated to procure deals from vendors in a particular location as per the requirements of a client upon considering a set of parameters dealt forward by the vendors in the process;
a cloud server platform (104) coupled to the searching device (102) to store the procured deals and associated information;
a verification device (106) in connection with the cloud server platform (104) to verify a designated virtual warehouse (VW) in and around the region based on the client’s location;
wherein a new virtual warehouse is generated with a user-defined specification and a database (114) is updated in case of unavailability of the virtual warehouse nearby the location or the process flows on to the next step in the pipeline in case of availability of the virtual warehouse nearby the location;
a status flag (108) connected to the verification device (106) to indicate the urgency of the project and start the project flows depending upon the urgency status;
a graphical user interface (110) in association with the status flag (108) and having a controlling unit to generate a quote for the client with default prices set for required resources, wherein the prices being subject to updates in subsequent stages to ensure optimal prices and shipping rates; and
a logistics/shipment unit (112) wirelessly connected to the graphical user interface (110) to control the flow of logistics from the source to the client's target location, wherein the resources are procured for the amount calculated by the technique for the given deals by the vendors once the shipment process is initiated thereby the procured resources proceed to the shipment process, where the logistics are managed and updated accordingly in the database (114).

2. The system as claimed in claim 1, wherein an analysis module, further configured with artificial intelligence capabilities to accurately assess and predict deal dependence, required profit margins, and minimum order quantities based on historical data;
wherein the database (114) coupled with the cloud server platform (104) to store the output of the analysis module; and
wherein the stored deal information includes attributes such as price margins, product name, model, expiry date of the deal, region, display price, and the price desired by the seller.

3. The system as claimed in claim 1, wherein a project generation module is activated upon validation of the existence of a suitable virtual warehouse, and further configured with machine learning capabilities to anticipate the client's requirements and predict necessary progress steps based on past project data, wherein the project generation module is designed to manage and host information specific to the client's requirements and the predicted progress steps to fulfill the same, enhancing the efficiency and accuracy of project planning and execution.

4. The system as claimed in claim 1, further comprises a tracking unit (116) not only configured to monitor the current status and details of the virtual warehouse assigned to various deals provided by the seller, but is also integrated with the Internet of Things (IoT) capabilities for real-time tracking and enhanced monitoring of the inventory status, delivery process, and other critical logistics information; and
wherein the IoT-enhanced tracking unit (116) further implements additional instructions specified by the client for improving the precision and efficiency of logistics and inventory management.

5. The system as claimed in claim 4, wherein the tracking module monitors and forecasts trends based on project-specific details selected from project date, project name, location, the virtual warehouse associated with it, category type, and current status, wherein the tracked and predicted information facilitated by the tracking module proves to be vital for subsequent stages of the process and for tracking updates and predicting future needs specific to the client, thereby optimizing project planning and execution.

6. The system as claimed in claim 1, wherein a resources table is generated to house details of each material required by the client, with data selected from quantity, desired price by the seller, and purchase status.

7. The system as claimed in claim 1, further comprises an information processing module, enhanced with AI-based optimization algorithms to evaluate a set of parameters selected from item price, shipping costs, location, and quantity, and dynamically calculate and adjust the most cost-effective price for the client's required set of resources, wherein the AI-based optimization algorithm leverages real-time market trends, historical data, and predictive models to deliver optimal pricing strategies, thus ensuring cost-effectiveness and competitiveness.

8. An end-to-end seamless pipeline method for a virtual warehouse and scalable-hyperlocal pricing, the method comprises:

procuring deals from vendors in a particular location as per the requirements of a client upon considering a set of parameters dealt forward by the vendors in the process through a searching device (102);
storing the procured deals and information of the deals using a cloud server platform (104);
verifying a designated virtual warehouse (VW) in and around the region based on the client’s location by a verification device (106);
generating a new virtual warehouse with the given specification and updating the database (114) in case of unavailability of the virtual warehouse nearby the location or the process flows on to the next step in the pipeline in case of availability of the virtual warehouse nearby the location;
indicating the urgency of the project and starting the project flows depending upon the urgency status using a status flag (108);
generating a quote for the client and the default prices of the resources required are usually set for the client by a controlling unit coupled to a graphical user interface (110), wherein the default prices undergo updates in the following stages to account for the best prices and shipping rates; and
controlling the flow of logistics from the source to the client's target location using a logistics/shipment unit (112), wherein the resources are procured for the amount calculated by the technique for the given deals by the vendors once the shipment process is initiated thereby the procured resources proceed to the shipment process, where the logistics are managed and updated accordingly in the database (114).

9. The method as claimed in claim 8, wherein collecting a repository of information for the deals as defined by the seller for various materials involved in the construction pipeline, wherein this process incorporates hyperlocal considerations.

10. The method as claimed in claim 8, further comprises generating an end-to-end dashboard with augmented features to monitor the current status, initiate new approvals, and select optimal deals from the available stack of updated information, thereby eliminating inefficiencies associated with negotiating deals and shipping rates for each site and order.