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AI Based - Smart Retail Solutions System “Retailo-Botics”

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AI Based - Smart Retail Solutions System “Retailo-Botics”

ORDINARY APPLICATION

Published

date

Filed on 23 November 2024

Abstract

Abstract: Retailo-Botics is an advanced AI-based Smart Retail Solutions System designed to revolutionize the retail industry by combining cutting-edge artificial intelligence with automation. This system empowers retailers to streamline operations, enhance customer engagement, and optimize inventory management through real-time data analytics and machine learning algorithms. Retailo-Botics delivers personalized shopping experiences by analysing consumer preferences and behaviours, enabling targeted marketing and product recommendations. With features such as intelligent pricing strategies, automated checkout, and predictive demand forecasting, Retailo-Botics helps businesses improve operational efficiency, boost sales, and foster customer loyalty, driving growth in an increasingly competitive retail landscape.

Patent Information

Application ID202441091280
Invention FieldCOMPUTER SCIENCE
Date of Application23/11/2024
Publication Number48/2024

Inventors

NameAddressCountryNationality
Dr.A.ShakthikrishnaKPR COLLEGE OF ARTS SCIENCE AND RESEARCH, AVINASHI ROAD ARASUR COIMBATORE-641407IndiaIndia

Applicants

NameAddressCountryNationality
KPR COLLEGE OF ARTS SCIENCE AND RESEARCHKPR COLLEGE OF ARTS SCIENCE AND RESEARCH, AVINASHI ROAD ARASUR-COIMBATORE -641407IndiaIndia

Specification

Description:The retail landscape has been evolving rapidly with the integration of technology, and AI is at the forefront of this transformation. Traditional retail models, which once relied on manual processes and intuition, are being replaced by AI-driven solutions that offer greater efficiency, accuracy, and personalization. Retailo-Botics, an AI-based smart retail solutions system, is designed to harness the power of artificial intelligence to address the growing challenges and opportunities within the retail sector.
Retailo-Botics is a comprehensive system that integrates machine learning, data analytics, and automation to enhance the entire retail experience. By analyzing vast amounts of real-time consumer data, it offers deep insights into customer preferences, behaviors, and purchasing patterns. These insights allow retailers to make informed decisions, improving product assortments, optimizing pricing strategies, and personalizing marketing efforts, ultimately driving increased sales and customer satisfaction.
A key feature of Retailo-Botics is its ability to automate and streamline routine tasks, such as inventory management and checkout processes. Through predictive analytics, the system can forecast demand and adjust stock levels accordingly, minimizing the risk of overstocking or stockouts. In addition, automated checkout systems reduce wait times and enhance the overall customer experience, ensuring a smooth and frictionless shopping journey.
Beyond operational efficiency, Retailo-Botics also focuses on enhancing the consumer's shopping experience. By utilizing AI to deliver personalized recommendations and targeted promotions, it creates an environment where customers feel valued and understood. This level of personalization not only boosts sales but also fosters customer loyalty, as shoppers are more likely to return to stores that cater to their individual needs.
As the retail industry continues to evolve, Retailo-Botics provides businesses with the tools necessary to remain competitive. By embracing AI-powered solutions, retailers can adapt to the rapidly changing market demands, improving their operational capabilities and customer relationships. With RetailoBotics, businesses are equipped to navigate the future of retail with confidence and innovation.
, Claims:Claims: -
1. Retailo-Botics revolutionizes both operational efficiency and personalized customer journeys-empowering retailers to stay ahead in a rapidly evolving landscape.

Documents

NameDate
202441091280-COMPLETE SPECIFICATION [23-11-2024(online)].pdf23/11/2024
202441091280-DRAWINGS [23-11-2024(online)].pdf23/11/2024
202441091280-FIGURE OF ABSTRACT [23-11-2024(online)].pdf23/11/2024
202441091280-FORM 1 [23-11-2024(online)].pdf23/11/2024

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