Description:TITLE OF THE INVENTION
IOT BASED SMART POS SYSTEM FOR RETAIL
FIELD OF THE INVENTION:
The present invention relates to an Internet of Things (IoT)-enabled intelligent Point of Sale (PoS) system deployed in retail stores. Specifically, the invention relates to a system utilizing IoT technology, cameras, lights, and AI algorithms to automate the tasks of item scanning, data classification, and online product listing.
BACKGROUND OF THE INVENTION:
In recent years, the retail industry has witnessed a paradigm shift towards digitalization and automation to enhance operational efficiency. Traditional Point of Sale (PoS) systems, while functional, often face challenges in terms of speed, accuracy, and adaptability to the evolving retail landscape. The emergence of Internet of Things (IoT) and Artificial Intelligence (AI) technologies has opened new possibilities for redefining the PoS experience.
There are many disadvantages of traditional PoS system. Traditional PoS systems often rely on manual data entry, leading to errors and discrepancies in inventory management and sales records.
They have limited automation and earlier systems lack advanced automation features, contributing to slower checkout processes and hindering the adaptability to modern retail demands. There is also problem of insufficient Integration. Lack of seamless integration with online platforms results in a disjointed retail experience, impacting the ability to cater to the needs of tech-savvy consumers.
Traditional PoS systems are time-consuming and prone to human errors during item scanning and data entry processes. There is a growing need for systems that can streamline these tasks, reducing checkout times and enhancing overall efficiency. There are inventory Management Challenges with conventional systems that struggle with real-time inventory management and data classification. Modern retailers require solutions that can automatically categorize products, update inventory, and seamlessly integrate with online platforms. Further, with the rise of e-commerce and the increasing demand for seamless omnichannel experiences, there is a need for PoS systems that can not only handle in-store transactions but also contribute to online product listings and sales.

The present invention aims to enhance the speed and accuracy of the checkout process, reducing the reliance on manual input and minimizing errors. By automating data categorization, the system aims to improve inventory management, streamline sales reporting, and provide accurate and up-to-date information. This addresses the need for retailers to operate in both physical and online spaces, catering to the growing trend of omnichannel retail. The invention collectively aim to create a sophisticated, efficient, and adaptable PoS system that addresses the challenges of traditional systems and aligns with the evolving needs of the retail industry.
OBJECT OF THE INVENTION:
It is an object of the invention to automate the process of item scanning using IoT technology and AI algorithms. Another object of the invention is to utilize AI algorithms for the classification and organization of scanned data. Yet another object of the invention is to facilitate the automatic listing of products online and seamless integration with e-commerce platforms. Another object of the invention is to increase the overall efficiency of the PoS system by leveraging IoT and AI technologies. Another object of the invention is to ensure precise and real-time updates to the inventory through automated processes. Another object of the invention is to offer a cost-effective solution that provides value to retailers without significant financial burden.
SUMMARY OF THE INVENTION:
The IoT-based Smart Point of Sale (PoS) system described herein is an innovation to transforms the retail experience. This system, seamlessly integrated into store structures, comprises a box-type unit having a conveyer tray, plurality of camera sensors for scanning during the sales process, interface module with a display unit, a storage system, an AI algorithm for classification and categorization and a web application. Upon placing an article on the one side of the conveyer tray, it enters the box, where camera sensors capture detailed images. These images are stored locally for processing. The PoS device interfaces with a display unit for detailed entry. Periodically, captured images are synced to a storage system for categorization of products through an AI classifier algorithm continuously improving accuracy over time. Processed data is linked to a cloud-based web application, saving time for retailers and offering consumers insights into local market products.
The web application allows retailers to modify data, contributing to system reinforcement learning. The invention also provides valuable sales insights based on customer demographics, aiding retailers in optimizing their strategies. Additionally, consumers can create accounts linked to their purchase history, enhancing personalization.
The IoT-based PoS system automates billing, enhances data classification, and streamlines online product listings, benefiting both shopkeepers and consumers. The system's innovative features include automated billing, AI-driven data classification, and a cloud-based application for retail visibility. The invention, illustrated in accompanying drawings, defines a comprehensive solution for the evolving retail landscape. While examples are given, the scope is defined by the appended claims, encouraging further innovation in the retail technology space.
BRIEF DESCRIPTION OF FIGURES:
Figure 1 presents the PoS system and its workflow.

DETAILED DESCRIPTION OF THE INVENTION:
The IoT-based smart Point of Sale (PoS) system disclosed herein is an innovative solution designed to revolutionize the retail industry by automating the billing and inventory processes, improving data classification, and enhancing the overall efficiency of the sales environment.
The embodiments of the present invention are illustrated in accompanying drawings, showcasing the integration and functionality of the IoT-based smart Point of Sale (PoS) system.
Figure 1 presents the PoS system and its workflow. The PoS system is comprised of a box-type structure(101), equipped with a conveyer tray(102) allowing movement of articles, plurality of camera sensors(103), a local storage system(104), a display unit(105) and a printing peripheral(111), a remote cloud server(106), an AI classifier algorithm(107), a cloud-based web application(108), an interface module(109a) for retailers, an interface module(109b) for consumers and an inbuilt processing unit(110) for processing the data; integrated into retail spaces to collectively facilitate a comprehensive and streamlined sales process wherein upon a customer placing an article on the one side of conveyer tray(102) of the PoS system, the system is initiated. The article enters the box-type structure(101), where the advantageously positioned camera sensors(103) capture detailed side and top-view images of the item under optimal lighting conditions. This process ensures high-quality image acquisition, a critical aspect for accurate data processing.

The images captured by the cameras are promptly saved to a local storage system(104) of the PoS system for subsequent processing by retailer. As the article progresses through the box structure and exits from the other side of conveyer tray, the shopkeeper is prompted to enter essential information for billing purposes. The PoS system is also integrated with a display unit(105) and a printing peripheral(111) for display of information, which can be interfaced with the smart PoS system, enabling for detailed billing information entry on the display unit. This includes specifying the price of the article and capturing customer details such as contact number or email. To complete the transaction, an attached printer generates a detailed bill.
In an embodiment, The system capitalizes on the power of cloud computing, by employing a batch process to periodically sync the saved images to a remote cloud server(106). This server is equipped with an AI classifier algorithm(107), trained to categorize the captured data into specific product categories and subcategories. This AI model continuously learns and refines its classification accuracy over time through exposure to real-world data.
In an embodiment, the processed data is automatically linked and uploaded to a cloud-based web application(108), specifically tailored to the shop profile from which it originated. This web application(108) serves a dual purpose: it enables consumers to view products available in their local market, offering a convenient solution for customers seeking information, and it saves valuable time for retailers who would otherwise need to manually upload their products to the application.
The PoS system also provides an interface module(109a) for retailers to logging in with credentials in the web application to make necessary modifications to the data uploaded by the smart PoS system, if required. This allows rectifications in category or subcategory contributing to the system's reinforcement learning, ensuring ongoing improvements in accuracy.
In an embodiment, the significance of this IoT-based PoS system extends beyond the transactional aspect of retail. It provides valuable insights to the retailer by capturing billing information along with details of the articles sold. These insights are instrumental in understanding sales patterns and formulating AI-based recommendations to optimize sales strategies. The system considers various parameters in its analytical approach, such as customer gender, age, geographic location, and the category/subcategory of articles purchased. This comprehensive analysis enables retailers to tailor their offerings to specific demographics, enhancing customer satisfaction and loyalty.
In another embodiment, the web application(108) offers an interface module(109b) for consumers for creating accounts, linking them to their sales and purchase history during the billing process on the smart PoS. This feature contributes to a personalized shopping experience and promotes customer engagement.
The present invention represents a significant advancement in the realm of retail technology, providing a comprehensive and integrated solution for automating the billing and inventory processes, improving data classification, and streamlining online product listings. The embodiments of the invention, as illustrated in accompanying drawings, showcase the practical application of this innovative system in diverse retail environments.
While the invention is described through specific examples, it is crucial to note that modifications and changes can be made by those skilled in the art without departing from the scope of the invention defined in the appended claims. The present invention offers a comprehensive solution for the evolving retail landscape, benefiting both shopkeepers and consumers alike.
In the preceding specification, the invention has been described with reference to specific exemplary embodiments thereof. It will be evident that various modifications and changes may be made thereunto without departing from the broader spirit and scope of the invention as set forth in the claims that follow. The specification and drawings are accordingly to be regarded in an illustrative rather than restrictive sense. Therefore, the aim in the appended claims is to cover all such changes and modifications as fall within the true spirit and scope of the invention. The matter set forth in the foregoing description and accompanying drawings is offered by way of illustration only and not as a limitation. The actual scope of the invention is intended to be defined in the following claims.
, C , Claims:

Claims:
We Claim
1. A PoS system integrated into retail spaces to collectively facilitate a comprehensive and streamlined sales process, comprises of
a box-type structure(101) equipped with a conveyer tray(102) allowing movement of articles;
plurality of camera sensors(103) to capture detailed images of the item;
a local storage system(104) for subsequent processing;
a display unit(105) enabling for detailed billing information entry;
a remote cloud server(106) to periodically sync the saved images ;
an AI classifier algorithm(107) trained to categorize the captured data into specific product categories and subcategories;
a cloud-based web application(108) for linking and uploading the processed data ;
an interface module(109a)for retailers and an interface module(109b) for consumers;
an inbuilt processing unit(110) for processing the data;
a printing peripheral(111) for display of information;
providing valuable insights to the retailer by capturing billing information along with details of the articles sold to understanding sales patterns and get AI-based recommendations to optimize sales strategies.

2. The PoS system as claimed in claim 1, wherein as article enters the box-type structure(101) from one side of conveyer tray(102),the camera sensors(103) capture detailed side and top-view images of the for data processing.

3. The PoS system as claimed in claim 1, wherein a batch process is employed to periodically sync the saved images to a remote cloud server(106).

4. The PoS system as claimed in claim 1, wherein the AI classifier algorithm(107) is trained to categorize the captured data into specific product categories and subcategories which continuously learns and refines its classification accuracy over time through exposure to real-world data.

5. The PoS system as claimed in claim 1, wherein the processed data is automatically linked and uploaded to a cloud-based web application(108), specifically tailored to the shop profile from which it originated.

6. The PoS system as claimed in claim 5, wherein the web application(108) enables consumers to view products available in their local market offering a convenient solution for customers seeking information, and saves valuable time for retailers by avoiding need to manually upload their products to the application.

7. The PoS system as claimed in claim 1, wherein the interface module(109a) for retailers allows rectifications in category or subcategory contributing to the system's reinforcement learning, ensuring ongoing improvements in accuracy by logging in with credentials in the web application(108).

8. The PoS system as claimed in claim 1, wherein the interface module(109b) for consumers link them to their sales and purchase history providing to a personalized shopping experience and promoting customer engagement.

9. The PoS system as claimed in claim 1, wherein provides valuable insights to the retailer by capturing billing information along with details of the articles sold. These insights are instrumental in understanding sales patterns and formulating AI-based recommendations to optimize sales strategies.