--- title: Overview of Real-Time Store Monitoring description: Building Real-Time Store Monitoring platform to Analyse customer preferences and buying patterns. Enabling better Retail in-store Analytics. image: https://www.xenonstack.com/hubfs/real-time-store-monitorig.png --- - [![xenonstack-logo](https://www.xenonstack.com/hubfs/xenonstack-logo-new-relase.svg)](https://www.xenonstack.com/) - - Foundry Foundry Unified reasoning foundation enabling seamless orchestration, analytics, infrastructure, and trust across intelligent ecosystems [![pointers-icon](https://www.xenonstack.com/hubfs/xs-revamp-header-dropdown/our-purpose-line-icon.svg) Akira AI - Reasoning and Agent Orchestration Turn models into collaborative, policy-governed agents that learn and act together](https://www.xenonstack.com/agentic-platforms/akira-ai/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-revamp-header-dropdown/autonomous-operations-icon.svg) ElixirData - Agentic Analytics Intelligence Explainable, decision-centric analytics for measurable business outcomes](https://www.xenonstack.com/agentic-platforms/elixirdata/) [![pointers-icon](https://www.xenonstack.com/hubfs/xs-revamp-header-dropdown/digital-immune-system-icon.svg) NexaStack - 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Book Strategy Call ![slider-cross-icon](https://www.xenonstack.com/hubfs/slider-cross-icon.svg) ## Interested in Solving your Challenges with XenonStack Team ## Get Started Get Started with your requirements and primary focus, that will help us to make your solution First Name \* Please enter a valid First Name Last Name \* Please enter a valid Last Name Business Email ID \* Please enter a valid Business Email ID Contact Number \* Please enter a valid Contact Number Company \* Please enter a valid Company Name Industry Belongs To \* Please Select your Industry Banking Fintech Payment Providers Wealth Management Discrete Manufacturing Semiconductor Machinery Manufacturing / Automation Appliances / Electrical / Electronics Elevator Manufacturing Defense & Space Manufacturing Computers & Electronics / Industrial Machinery Motor Vehicle Manufacturing Food and Beverages Distillery & Wines Beverages Shipping Logistics Mobility (EV / Public Transport) Energy & Utilities Hospitality Digital Gaming Platforms SportsTech with AI Public Safety - Explosives Public Safety - Firefighting Public Safety - Surveillance Public Safety - Others Media Platforms City Operations Airlines & Aviation Defense Warfare & Drones Robotics Engineering Drones Manufacturing AI Labs for Colleges AI MSP / Quantum / AGI Institutes Retail Apparel and Fashion Please select all the required fields before proceeding Proceed Next ## Interested in Solving your Challenges with XenonStack ## Personalization Get Started with your requirements and primary focus, that will help us to make your solution ### What is your Key focus areas? \* AI Workflow and Operations Data Management and Operations AI Governance Analytics and Insights Observability Security Operations Risk and Compliance Procurement and Supply Chain Private Cloud AI Vision AI ### In Which Agentic Platform and Accelerator you are Interested? \* Akira AI - Agentic AI Platform Multi Agent System Metasecure - Autonomous SOC Nexastack – Build and Managed Compound AI Stack Data Foundry XAI – Vision and AI Platform – Visual AI Agents Strategy Consulting AI Managed Services Others (Please Specify) ### Which segment does your company belong to? \* Startup Scale Startup SME Mid Enterprises Large Enterprises Federal Government Non Profits Others (Please Specify) ### At what stage is your AI use case currently in? \* Conceptualized: Use case defined, PoC pending POC Completed In Production with challenges Not yet defined Others (Please Specify) ### What are the primary challenges in adopting AI? \* Data Quality Issues Data Privacy and Compliance Aligning AI with business goals Unclear ROI from POCs Integration with existing ERP systems Scalability Challenges Moving POCs in Production Infrastructure Limitation High Implementation costs Others (Please Specify) ### What kind of infrastructure does your organization currently using? \* AWS Microsoft Azure GCP IBM Cloud Oracle Cloud On Premises Others (Please Specify) ### Are you using any Data platform? \* Databricks SnowFlake Amazon Redshift Azure Synapse Analytics Microsoft Fabric Teradata Oracle Database SAP Hana Informatica Google Cloud BigQuery Others (Please Specify) ### Preferred Approach for AI Transformation \* Assisted Intelligence Agents as Co-Pilot Collaborative Intelligence Agents as AI Teammates Autonomous Intelligence Agents – AI Agents Agentic Actions Agentic Process Automation ### In Which Domain your Solution/Organization belongs to in-terms of Data Privacy, Trustworthy AI \* Internal Organization Highly Regulated Industry (Healthcare, Financials etc) Medium Regulated Non Regulated ### Captcha Verification \* captcha text ![Refresh Icon](https://www.xenonstack.com/hs-fs/hubfs/refresh.png?width=20&height=20&name=refresh.png) Please select all the required fields Review Previous Submit ![green-checkmark](https://www.xenonstack.com/hubfs/green-checkmark.svg) ## your request has been submitted successfully ! Our XenonStack Team will shortly reach out to you. We are looking forward to showcase how XenonStack can transform your business. ![usecase-banner (1)](https://www.xenonstack.com/hs-fs/hubfs/usecase-banner%20(1).webp?width=1921&height=622&name=usecase-banner%20(1).webp) [Enterprise AI](https://www.xenonstack.com/blog/tag/enterprise-ai) # Overview of Real-Time Store Monitoring [Dr. Jagreet Kaur](https://www.xenonstack.com/blog/author/dr-jagreet-kaur) | 11 December 2024 Overview of Real-Time Store Monitoring 8:05 ## What is Real-Time Store Monitoring? Real-Time Store Monitoring plays a crucial role in identifying the most valuable customers for any company. Retail stores have always prioritized enhancing customer convenience, especially in the face of intense competition. Understanding customer preferences and buying patterns is now more important than ever in the retail industry. While traditional in-store retailing treats all customers the same, online retail spaces offer personalized shopping experiences. Retail stores implement Real-Time Store Monitoring to create a more successful in-store sales experience.   This innovative approach utilizes technologies like [Machine Learning](https://www.xenonstack.com/blog/demystifying-machine-learning-algorithms) and [Deep Learning](https://www.xenonstack.com/insights/deep-learning-applications) to give customers an unprecedented shopping experience. Shoppers can now skip the checkout lines and walk out with their purchases, eliminating the need for billing and waiting in queues. At the same time, store officials gain the power of Real-Time analytics and reduce their reliance on the human workforce. > 60% of enterprise business leaders say customer analytics is extremely important today, jumping to 79% by 2020 with a key driver being personalization at scale Source - [How To Improve Customer Experiences With Real-Time Analytics](https://www.forbes.com/sites/louiscolumbus/2018/07/08/how-to-improve-customer-experiences-with-real-time-analytics/?sh=22ff10676e82) ### The Need for Real-Time Store Monitoring One of the most frustrating experiences for shoppers in retail stores is waiting in long checkout queues. According to a report by A Garbango, adults spend a staggering 32.89 days of their lives standing in grocery store lines. Imagine how wonderful it would be if customers could pick up their bags and leave the shop within moments of making their purchases, without having to endure lengthy queues. This would greatly enhance the shopping experience for customers and provide store owners with valuable insights through Real-Time Store Monitoring, such as identifying popular items and monitoring stock levels. This would undoubtedly positively impact the economy, as discussed further below. ## What are the Benefits of Real-Time Store Monitoring in Retail? Listed below are the economic benefits of Real-Time Store Monitoring in Retail: 1. Real-time store Monitoring can eliminate the need for certain store employees, such as cashiers and inventory managers. By implementing this technology, retail stores can operate more efficiently and reduce their reliance on the human workforce. 2. Gather a wealth of data from the Real-Time Store Monitoring platform and utilize it to make informed and strategic business decisions. For instance, identify which store sections are experiencing high demand for certain items in real-time, allowing for personalized recommendations to shoppers based on AI algorithms implemented in the backend. 3. Labour savings help us know the amount of labour required to complete tasks. Real-time store Monitoring saves the most valuable commodity: shoppers' time. It also contributes to the economy and allows retail owners to make quick business decisions. [Read More about The Kubecost – Cost Analysis with Kubernetes Monitoring](https://www.xenonstack.com/insights/cost-analysis-kubernetes/) ## How will Real-Time store Monitoring work? As the figure below explains, the proposed architecture for Real-Time Store Monitoring will use Machine Learning. Analyze the customers using live streaming cameras fed to [Deep Learning](https://aws.amazon.com/deep-learning/) algorithms to make customer purchases and inventory updates in Real-Time Store Monitoring. The key KPIs are as follows: 1. Customer Traffic Analysis 2. Staff Performance 3. Customers Behaviour in the store for future recommendations ![Store Monitoring Systems](https://www.xenonstack.com/hubfs/xenonstack-store-monitoring-systems.png) ### The solutions needed to the problems in **Real-Time Store Monitoring:** 1. Person Detection: Detects the shoppers based on their shopping cart in the backend. 2. Object Recognition: We need to recognize the items taken by shoppers. 3. Pose Estimation: Detect the shoppers' movements, whether putting their items in their bags or just taking them to inspect them. 4. Motion Sensors and Camera Feed collaboration: To make decisions, we must collaborate with the camera and motion sensors. ## How can Computer Vision help? Implementing state-of-the-art deep learning techniques and computer vision algorithms like [convolutional neural networks (CNNs)](https://www.xenonstack.com/blog/convolutional-neural-networks)can effectively tackle these computer vision challenges. The training and performance evaluation of these algorithms will be customized to meet the specific requirements of each retail store, considering factors such as store size and customer footfall. By harnessing these cutting-edge technologies, retailers can gain valuable insights and optimize their operations to enhance the shopping experience for their customers. [Explore more about Performance Monitoring Tools and Management](https://www.xenonstack.com/insights/what-is-performance-monitoring/). ### **Why is Real-Time Store Monitoring in Retail Important?** #### **Streaming Services** High-quality cameras will be required to live stream the store's activities and forward the feed to the Computer Vision algorithm. #### **The Motion Sensors** Motion Sensors will be required to trigger the activities when unusual behaviour is observed that may need a response. #### **Access to GPUs for computing** This is the most important requirement for training any [Machine Learning algorithm](https://azure.microsoft.com/en-in/resources/cloud-computing-dictionary/what-are-machine-learning-algorithms/), and in this case, as the process will be in real-time, high-capacity GPUs will be required to perform the model training and job scoring. #### **Cloud Access for storing the data** Cloud access is required to store model artefacts and data. ## ![Retail Store Monitoring](https://www.xenonstack.com/hubfs/xenonstack-retail-store-monitoring.png) ## Real-Time Store Monitoring Use-Case Nowadays, businesses seek innovative ideas to transform their business for better growth and digital development. Here is the use case of [Amazon](https://www.amazon.com/b?ie=UTF8&node=16008589011)[Go](https://www.amazon.com/b?ie=UTF8&node=16008589011)and how they transformed it: Amazon Go has completely revolutionized the retail industry with its groundbreaking implementation of Real-Time Store Monitoring. By requiring customers to install their app for entry, Amazon Go stores offer a seamless shopping experience. Once inside, customers can freely browse and select items without any hassle. The app integrates the billing process, allowing customers to pick up the items they want and leave the store. In just 30-40 minutes, customers receive detailed billing information via email. This innovative approach enhances the shopping experience and highlights the immense potential of Real-Time Store Monitoring in transforming the retail industry. [Explore more about Real-Time Analytics Services on AWS.](https://www.xenonstack.com/insights/aws-real-time-analytics) ### How does Amazon increase the shopping experience? The Amazon Go store revolutionizes the shopping experience by eliminating checkout lines and repacking procedures, providing customers with a 33% increase in convenience. 1. Quick access to groceries and convenience goods 2. Turn-style entry: The consumer enters via the Amazon app on the smartphone. 3. The consumer walks around the store, picks up items, adds them to the bag, and shops normally. 4. Consumers Exit   ## Conclusion of Real-time Store Monitoring The [Real-Time Store Monitoring](https://www.happiestminds.com/insights/real-time-store-monitoring/) solution, powered by advanced [Deep Learning](https://cloud.google.com/discover/what-is-deep-learning) and [Machine Learning](https://www.ibm.com/topics/machine-learning) technology, offers tremendous value to the retail industry. It empowers retailers to unlock invaluable insights into consumer preferences, buying patterns, and demographic characteristics, all gathered through cutting-edge technologies. As the retail sector continues to evolve, there is vast potential for further development, making Real-Time Store Monitoring even more adaptable and enhancing the shopping convenience for customers. We highly recommend connecting with our experts to explore the full potential of Real-Time Store Monitoring in revolutionizing your retail business. > - Explore [Real-time Streaming Data Visualization](https://www.xenonstack.com/blog/streaming-data-visualizations) > - Read here about [IoT Analytics Platform for Real-time Data Ingestion](https://www.xenonstack.com/blog/iot-analytics-platform) ## Next Steps in Real-Time Store Monitoring Talk to our experts about implementing compound AI systems. Discover how industries and departments use Decision Intelligence and Real-Time Store Monitoring to become decision-centric. Utilizes AI to automate and optimize IT support and operations, improving efficiency and responsiveness. [Contact Us](https://www.xenonstack.com/contact-us/) [Talk To Specialist](https://www.xenonstack.com/talk-to-specialist/) ### More Ways to Explore Us ### [Real-Time Analytics Tools and Benefits](https://www.xenonstack.com/insights/real-time-analytics-tools) ### [Real-Time Drought Prediction Monitoring System](https://www.xenonstack.com/use-cases/real-time-drought-prediction) ### [Real-Time AI Development Services - AI Company](https://www.xenonstack.com/enterprise/real-time-ai/)     ## Share Article - [![XenonStack Facebook](https://www.xenonstack.com/hubfs/xenonstack-facebook-service.svg)](http://www.facebook.com/share.php?u=https://www.xenonstack.com/blog/real-time-store-monitoring) - [![XenonStack Twitter](https://www.xenonstack.com/hubfs/xs-twitter-white-updated-icon.svg)](https://twitter.com/intent/tweet?text=I+found+this+interesting+blog+post&url=https://www.xenonstack.com/blog/real-time-store-monitoring) - [![XenonStack Linked In](https://www.xenonstack.com/hubfs/xenonstack-linkedin-service.svg)](http://www.linkedin.com/shareArticle?mini=true&url=https://www.xenonstack.com/blog/real-time-store-monitoring) - [![XenonStack Email Icon](https://www.xenonstack.com/hubfs/xenonstack-email-service.svg)](mailto:?subject=Check%20out%20https://www.xenonstack.com/blog/real-time-store-monitoring%20&body=Check%20out%20https://www.xenonstack.com/blog/real-time-store-monitoring) ## Table of Contents ## Share Article - [![XenonStack Facebook](https://www.xenonstack.com/hubfs/xenonstack-facebook-service.svg)](http://www.facebook.com/share.php?u=https://www.xenonstack.com/blog/real-time-store-monitoring) - [![XenonStack Twitter](https://www.xenonstack.com/hubfs/xs-twitter-white-updated-icon.svg)](https://twitter.com/intent/tweet?text=I+found+this+interesting+blog+post&url=https://www.xenonstack.com/blog/real-time-store-monitoring) - [![XenonStack Linked In](https://www.xenonstack.com/hubfs/xenonstack-linkedin-service.svg)](http://www.linkedin.com/shareArticle?mini=true&url=https://www.xenonstack.com/blog/real-time-store-monitoring) - [![XenonStack Email Icon](https://www.xenonstack.com/hubfs/xenonstack-email-service.svg)](mailto:?subject=Check%20out%20https://www.xenonstack.com/blog/real-time-store-monitoring%20&body=Check%20out%20https://www.xenonstack.com/blog/real-time-store-monitoring) ## Explore Related Topics [Decision Intelligence](https://www.xenonstack.com/blog/tag/decision-intelligence) [Cloud Native Applications](https://www.xenonstack.com/blog/tag/cloud-native-applications) [Generative AI](https://www.xenonstack.com/blog/tag/generative-ai) [Big Data Engineering](https://www.xenonstack.com/blog/tag/big-data-engineering) [FinOps](https://www.xenonstack.com/blog/tag/finops) [Data Foundry](https://www.xenonstack.com/blog/tag/data-foundry) [XAI](https://www.xenonstack.com/blog/tag/xai) [Autonomous Agents](https://www.xenonstack.com/blog/tag/autonomous-agents) [MetaSecure AI](https://www.xenonstack.com/blog/tag/metasecure-ai) ![dr-jagreet-gill](https://www.xenonstack.com/hubfs/dr-jagreet-gill-author.svg) ## Dr. Jagreet Kaur Chief Research Officer and Head of AI and Quantum Dr. Jagreet Kaur specializing in Generative AI for synthetic data, Conversational AI, and Intelligent Document Processing. With a focus on responsible AI frameworks, compliance, and data governance, she drives innovation and transparency in AI implementation [Explore More by Dr. Jagreet Kaur ![cta-blue-arrow](https://www.xenonstack.com/hubfs/cta-arrow-blue.svg)](https://www.xenonstack.com/blog/author/dr-jagreet-kaur-gill) ![Subscribe background](https://www.xenonstack.com/hubfs/blog-post-subscribe.svg) ## Subscribe to our Latest Technology Insights and Resources Subscribe Now ![slider-cross-icon](https://www.xenonstack.com/hubfs/slider-cross-icon.svg) ## Get the latest articles in your inbox Business Email ID \* Please enter a valid Business Email ID Company Name \* Please enter a valid Company Name Yes, I would like to receive the XenonStack newsletter as well as marketing emails regarding XenonStack products, services, and events. I can unsubscribe at any time. By registering, you confirm that you agree to the processing of your personal data by XenonStack as described in the Privacy Policy. Subscribe Now ## Related Articles ![Edge AI for Personalization and Recommendations](https://www.xenonstack.com/hs-fs/hubfs/edge-ai-1.png?width=1200&height=675&name=edge-ai-1.png) ### [Edge AI for Personalization and Recommendations](https://www.xenonstack.com/blog/edge-ai-for-personalization) 22 April 2025 ![How Edge AI is Shaping the Future of Retail Operations](https://www.xenonstack.com/hs-fs/hubfs/edge-AI-in-retail.png?width=1200&height=675&name=edge-AI-in-retail.png) ### [How Edge AI is Shaping the Future of Retail Operations](https://www.xenonstack.com/blog/edge-ai-retail-operations) 14 November 2024 ![Knowledge Management with Now Assist](https://www.xenonstack.com/hs-fs/hubfs/optimizing-knowledge-management.png?width=1200&height=675&name=optimizing-knowledge-management.png) ### [Knowledge Management with Now Assist](https://www.xenonstack.com/blog/knowledge-management-with-now-assists) 08 October 2024 ![xenonstack-logo](https://www.xenonstack.com/hubfs/xenonstack-new-logo-release.svg) XenonStack Agentic Foundry powers enterprise agentic systems with unified infra, analytics, workflows, and security to drive automation and compliance. 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This ensures faster detection, fewer incidents, and stronger reliability - ![Performance Icon](https://www.xenonstack.com/hubfs/performance.svg)Proactive detection of performance and availability issues - ![Root Cause Icon](https://www.xenonstack.com/hubfs/root-cause.svg)Root-cause analysis across microservices and environments - ![Remediation Icon](https://www.xenonstack.com/hubfs/remediation.svg)Automated remediation playbooks to reduce MTTR [Explore Agent SRE](https://agentsre.ai/) ![akira-ai-banner-illustration](https://www.xenonstack.com/hubfs/akira-ai-banner-illustration.svg) ✕ ## Physical Surveillance with Vision AI Agent Technology AI converts camera feeds into instant situational awareness. It detects unusual motion and unsafe behavior in real time. Long hours of video become searchable and summarized instantly - ![Motion Icon](https://www.xenonstack.com/hubfs/motion.svg)Real-time detection of suspicious motion or intrusion - ![Video Search Icon](https://www.xenonstack.com/hubfs/video-search.svg)Natural language video search and instant playback - ![Summary Icon](https://www.xenonstack.com/hubfs/summary.svg)Smart summaries for audits, investigations, and compliance [See Vision AI in Action](https://www.xenonstack.ai/) ![physical-surveillance](https://www.xenonstack.com/hubfs/xai-banner-image.svg) ✕ ## Agentic Data Intelligence Across Your Full Data Stack Your data stack becomes intelligent and conversational. Agents surface insights, detect anomalies, and explain trends. Move from dashboards to autonomous, always-on analytics - ![Connects warehouses](https://www.xenonstack.com/hubfs/data-icon.svg)Connects to warehouses, lakes, and streaming sources - ![Question Answering](https://www.xenonstack.com/hubfs/answers.svg)Question-answering in natural language - ![Continuous monitoring](https://www.xenonstack.com/hubfs/monitoring-2.svg)Continuous monitoring for anomalies and KPI deviations [See in Action](https://elixirdata.co/) ![agentic-data-intelligence](https://www.xenonstack.com/hubfs/empowerment-of-analysts.svg) ✕ ## Intelligent Diagnostic for Self-Healing System Automation Agents identify recurring failures and performance issues. They trigger workflows that resolve common problems automatically. Your infrastructure evolves into a self-healing environment - ![Diagnostics Icon](https://www.xenonstack.com/hubfs/diagnostic.svg)Automated diagnostics for recurring errors - ![Playbook Icon](https://www.xenonstack.com/hubfs/playbook.svg)Playbook execution: restart services, scale pods, clear queues - ![Feedback Icon](https://www.xenonstack.com/hubfs/feedback.svg)Feedback loop for improving remediation strategies [See in Action](https://agentanalyst.ai/) ![intelligent-diagnostic](https://www.xenonstack.com/hubfs/dataops-reimagined-banner-image.svg) ✕ ## Agentic GRC - Monitoring Risk and Compliance Controls AI continuously checks controls and compliance posture. It detects misconfigurations and risks before they escalate. Evidence collection becomes automatic and audit-ready - ![Controls Icon](https://www.xenonstack.com/hubfs/controls.svg)Continuous control checks across infrastructure and SaaS - ![Audit Icon](https://www.xenonstack.com/hubfs/audit.svg)Automated evidence collection for audits - ![Risk Icon](https://www.xenonstack.com/hubfs/risk.svg)Risk scoring and prioritized remediation recommendations [Explore Agent GRC](https://agentgrc.ai/) ![monitoring-risk-and-compliance](https://www.xenonstack.com/hubfs/enhanced-security-measures.svg) ✕ ## Agentic Finance and Procurement Intelligent Agents Financial and procurement workflows become proactive and insight-driven. Agents monitor spend, vendors, and contracts in real time. Approvals and sourcing decisions become faster and smarter - ![Visibility Icon](https://www.xenonstack.com/hubfs/visibility.svg)Real-time visibility into spend and commitments - ![Anomaly Icon](https://www.xenonstack.com/hubfs/anomaly.svg)Anomaly detection on invoices and vendor performance - ![Workflow Icon](https://www.xenonstack.com/hubfs/workflow.svg)Intelligent workflows for approvals and sourcing decisions [Optimize Finance & Procurement](https://www.xenonify.ai/) ![agentic-finance-and-procurement](https://www.xenonstack.com/hubfs/responsible-ai-aviators-banner-illustration.svg) ```json { "@context" : "https://schema.org", "@type" : "BlogPosting", "author" : { "@type" : "Person", "name" : "Dr. Jagreet Kaur", "url" : "https://www.xenonstack.com/blog/author/dr-jagreet-kaur" }, "dateModified" : "2024-12-11T09:48:33.021Z", "datePublished" : "2024-09-02T04:00:00.000Z", "headline" : "Overview of Real-Time Store Monitoring", "image" : [ "https://www.xenonstack.com/hubfs/real-time-store-monitorig.png" ], "mainEntityOfPage" : { "@id" : "https://www.xenonstack.com/blog/real-time-store-monitoring", "@type" : "WebPage" }, "publisher" : { "@type" : "Organization", "logo" : { "@type" : "ImageObject", "url" : "https://www.xenonstack.com/hubfs/Xenonstack-Serives%20-3-2-2021-10.png" }, "name" : "Xenonstack Inc" } } ``` ```json { "@context" : "https://schema.org", "@type" : "VideoObject", "contentUrl" : "https://8161231.fs1.hubspotusercontent-na2.net/hubfs/8161231/real-time-analytics-for-enterprise.mp4", "dateModified" : "2023-12-06T08:23:39.605Z", "duration" : "PT1M1S", "height" : 950, "name" : "real-time-analytics-for-enterprise", "thumbnailUrl" : "https://www.xenonstack.com/hubfs/real-time-analytics-for-enterprise.mp4/medium.jpg", "uploadDate" : "2023-12-06T08:23:31.802Z", "width" : 1920 } ``` ```json { "@context" : "http://schema.org", "@type" : "Organization", "address" : { "@type" : "PostalAddress", "addressCountry" : "USA", "addressLocality" : "Plano", "addressRegion" : "Texas", "postalCode" : "75024", "streetAddress" : "7700 Windrose Ave. " }, "description" : "XenonStack is the #1 Data and AI foundry and technology services company to simplify and scale Enterprise and Generative AI Journeys.", "email" : "business@xenonstack.com", "logo" : "https://f.hubspotusercontent30.net/hubfs/8161231/Xenonstack-Serives%20-3-2-2021-10.png", "mainEntityOfPage" : { "@id" : "https://www.xenonstack.com/blog/real-time-store-monitoring", "@type" : "WebPage", "description" : "Building Real-Time Store Monitoring platform to Analyse customer preferences and buying patterns. 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