Business Challenges

The retail industry grapples with a range of pressing issues and challenges. These include security concerns such as theft, vandalism, and fraud, which traditional surveillance systems struggle to effectively address. Operational inefficiencies, such as inventory management and customer flow optimization, also plague retailers, impacting profitability and customer satisfaction. Ensuring a seamless customer experience is an ongoing challenge, with issues like long checkout queues and product stockouts affecting shopper satisfaction.  

Historically, retailers have turned to closed-circuit television (CCTV) systems to mitigate these challenges. However, these conventional solutions come with significant limitations. Traditional CCTV systems are primarily reactive, relying on human operators to review footage after an event has occurred. This delay hinders real-time responses to security breaches. Furthermore, these systems often provide only basic video recording and lack the ability to extract meaningful insights from the footage, such as customer behavior patterns or inventory trends. Manually monitoring and managing CCTV systems requires significant human resources, making it costly in the long run.  

The integration of AI technology, particularly Smart Video Surveillance, offers a promising solution to these challenges. AI-powered systems can transform the retail landscape in several ways. Firstly, they enable proactive security measures by employing algorithms that detect suspicious behavior or events in real-time, allowing for immediate responses and enhanced security. Secondly, AI-driven analytics provide valuable insights into customer behavior, helping retailers streamline operations, reduce wait times, and optimize product placement and inventory management. Additionally, AI can personalize shopping experiences by analyzing customer preferences and offering tailored recommendations, leading to improved satisfaction and loyalty. While the initial investment in AI technology may be significant, it can ultimately reduce costs associated with manual surveillance and improve resource allocation. Ultimately, by harnessing the potential of AI, retailers have the opportunity not only to address existing challenges but also to revolutionize the industry, providing a safer, more efficient, and enjoyable shopping environment for consumers. 

AI Solution

AI solutions in smart video surveillance are revolutionizing the retail industry. Facial recognition plays a pivotal role in efficiently tracking employee attendance, streamlining time tracking, generating attendance reports, and enhancing overall management. This technology finds applications in a variety of retail settings, from store chains and public entrances to office buildings and educational institutions. 

Additionally, facial recognition is a powerful tool for alerting security personnel to unfamiliar or potentially criminal individuals in real-time. It offers features like VIP detection, unauthorized entry alerts, and crowd management, bolstering security and safety in retail environments. 

In specific scenarios, such as pedestrian lane allocation, strategically positioned cameras equipped with AI capabilities optimize customer flow within retail spaces. Furthermore, AI systems excel at identifying dangerous behaviors, ranging from wall climbing to fights, harassment, and even child abduction, ensuring a safer shopping experience. 

Managing crowds and visitor analytics are simplified through AI-powered people counting, which provides insights into visitor patterns, and crowd dispersal detection, enabling rapid response to unusual crowd behavior while ensuring compliance with safety regulations. 

Moreover, AI technology extends to vehicle identification and safety compliance monitoring in parking areas, enhancing overall security. Lastly, the swift detection and alerting of fire incidents, particularly in areas with chemicals, is made possible through smart video surveillance, offering faster response times compared to traditional sensors. 

These AI-driven solutions are shaping the future of retail, enhancing security, improving operational efficiency, and providing valuable insights for the industry. 

Expected Outcome

The implementation of these AI solutions is anticipated to yield a range of substantial benefits. First and foremost, they promise to enhance security and safety across diverse settings, encompassing retail establishments, corporate offices, and educational institutions. Moreover, these solutions offer a means to efficiently track and manage attendance, optimizing workforce management and performance assessment. 

Real-time detection and alert mechanisms for unauthorized entry and suspicious activities will bolster security measures, providing timely responses to potential threats. Additionally, these AI-driven systems will elevate crowd management and compliance monitoring, contributing to a more orderly and secure environment for patrons. 

In the event of critical incidents such as fires and altercations, these solutions enable swift responses, thereby minimizing risks and associated consequences. Furthermore, the technology serves as a proactive deterrent against criminal activities, mitigating security risks. 

Beyond security considerations, these solutions address societal concerns by reducing instances of harassment and inappropriate behavior in public spaces. They also contribute to child safety by detecting and preventing potential abduction scenarios. Across various sectors, operations will be streamlined, and risks mitigated, resulting in enhanced overall efficiency. 

Finally, the advanced data collection and reporting capabilities of these AI solutions will furnish valuable insights, facilitating data-driven decision-making and further process optimization. 

 

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    Our Team Members

    AI TRANSFORMATION LEAD

    Dr. Mikhail Krasnov

    Based in Switzerland, Mikhail is an esteemed leader with a Ph.D. in Economics and recognized as a Certified Director by the London Institute of Directors. With a 30-year tenure in the IT sector, he co-founded Verysell Group in 1990 and now drives strategy and innovation across the entire organization. He staunchly believes that AI should be a catalyst for all businesses, not a threat, enhancing and transforming companies. To him, AI is a powerful tool for businesses to harness for their advantage.

    Head of Applied AI Lab​

    Yurii Lozinskyi

    Based in England, Yurii is the driving force behind Verysell Applied AI Lab. With 25 years of experience in Healthcare, Insurance, and Finance, he specializes in Business Process & Digital Transformation. Yurii excels in creating neural networks for diverse business automation, from medical diagnostics to machinery anomaly detection. Beyond tech, he’s a proficient software delivery manager and project leader. His leadership has fueled remarkable growth, achieving up to 60% CAGR by guiding 20+ Agile Teams globally.

    Chief AI Scientist

    Dr. Hung Dao

    Based in Vietnam, Dr. Hung leads a dynamic Consulting Team, driving AI innovation across diverse sectors, from industrial visual inspection to medical image segmentation at our AAI Lab. With a PhD in Engineering from Keio University (2014), his expertise extends to groundbreaking research published in renowned conferences such as FG, BMVC, ICASSP, and ACCV, alongside multiple granted patents. With a distinguished track record at FPT, VinBrain & Nautilus AI, he’s a prominent figure in the AI landscape.

    STRATEGIC ADVISOR ON AI

    Dr. Alexey Minin

    Prof. Dr. Alexey Minin, an esteemed expert in the digital economy and artificial intelligence implementation, boasts over 19 years in high-tech. Rising from Siemens engineer to associated partner at MHP – A Porsche Company, Germany, Alexey excels in management consulting, exponential technologies, and creating businesses based on modern tech. A Doctor of Science in AI, Honored Professor, and consultant for several boards of directors, Alexey specializes in digital transformation, AI application, and startup guidance. He co-founded startups, lectures globally, and is a sought-after speaker in digital conferences.

    Business Development Manager

    Muin Pirzada

    Muin brings to the table an extensive background of over 13 years in the fields of Robotic Process Automation (RPA), Test Automation, and Artificial Intelligence (AI). This vast experience has not only equipped him with a profound knowledge of these cutting-edge technologies and deep passion for business growth and operational efficiency, but also with an acute understanding of their capability to revolutionize industries and streamline operations.

    Marketing Manager

    Ha Nguyen

    Based in Hanoi, Ha spearheads marketing endeavors, leveraging over a decade of prowess in the global technology arena. She currently serves as AAI Lab’s Marketing Manager, leveraging her expertise in B2B marketing, branding, content strategies, and Agile methodologies to propel the company’s growth. Her practical know-how equips her to craft and execute effective marketing strategies for AAI Lab and other entities within the Verysell Group.

     

    Software Development Automation Lead

    Hieu Tran

    Hieu, from Danang, Vietnam, heads the automation team at SmartDev. With a decade of experience in software development, he’s skilled in tech strategy and research. Known for boosting daily operations, Hieu shines in project coordination and customer happiness. Currently, he’s the top engineer at SmartDev and also leads the AAI Lab Software Development Automation.

    Head of Project Management

    Richard Sharp

    Richard, based in Danang Vietnam, has over 40 years of IT experience. He has had many roles including Client Manager, Supplier Manager, and Service Management Program Manager. He has designed, developed and implemented advanced service management solutions for leading organizations across the technology, government, health, telecoms, oil & gas and financial services sectors.

    HEAD OF AI EDUCATION

    Soan Duong

    Dr. Soan is a lecturer at the Computer Science Department within Le Quy Don Technical University. She is also a senior research scientist with keen interest in computer vision and medical imaging. Her research work has been published at prestigious venues, including ISBI, ICIP, ICASSP, BMVC, and CVPR. Soan plays an active role in the academic community by serving as a dedicated reviewer for esteemed publications such as: IEEE Access and NMR in Biomedicine.