Bedrock AI citations

Here are some of the best data analytics companies for retail: 1. {{[[Tableau]]:https://www.tableau.com}} : Tableau provides powerful data visualization tools that help retailers analyze sales data and customer behavior effectively. 2. {{[[SAS]]:https://www.sas.com}} : SAS offers advanced analytics and data management solutions tailored for the retail sector, focusing on customer insights and operational efficiency. 3. {{[[IBM]]:https://www.ibm.com/analytics}} : IBM's analytics solutions leverage AI and machine learning to help retailers optimize their supply chain and enhance customer experiences. 4. {{[[Google Analytics]]:https://analytics.google.com}} : Google Analytics is widely used by retailers to track website performance, customer interactions, and marketing effectiveness. 5. {{[[Domo]]:https://www.domo.com}} : Domo provides a cloud-based platform that integrates data from various sources, allowing retailers to visualize and analyze their performance in real-time. 6. {{[[Qlik]]:https://www.qlik.com}} : Qlik offers data analytics and business intelligence solutions that empower retailers to make data-driven decisions through interactive dashboards. 7. {{[[MicroStrategy]]:https://www.microstrategy.com}} : MicroStrategy provides analytics and mobility solutions that help retailers gain insights into customer preferences and sales trends. 8. {{[[Looker]]:https://looker.com}} : Looker, part of Google Cloud, offers a modern data platform that enables retailers to explore and analyze their data for better decision-making. 9. {{[[SAP]]:https://www.sap.com}} : SAP provides comprehensive analytics solutions that help retailers manage their operations and gain insights into customer behavior. 10. {{[[RetailNext]]:https://retailnext.net}} : RetailNext specializes in in-store analytics, helping retailers understand foot traffic and customer engagement in physical stores. These companies provide various tools and solutions to help retailers harness data for improved decision-making and operational efficiency.

The best data analytics companies for retail include: {{[[G & Co. (Acumen)]]:https://www.g-co.agency/insights/retail-data-analytics-solutions-guide}} : Offers Acumen, a retail analytics software with real-time dashboards, consumer sentiment, and brand intelligence used by Saks Fifth Avenue, Levi’s, Nike, and Burberry[1]. {{[[Looker]]:https://www.g-co.agency/insights/retail-data-analytics-solutions-guide}} : A Google Cloud Platform enterprise BI and analytics platform providing dashboards, predictive analytics, and data visualization[1]. {{[[Sisense]]:https://www.g-co.agency/insights/retail-data-analytics-solutions-guide}} : Provides an AI-driven analytics cloud platform with predictive analytics and ML models, suitable for cloud or on-premises deployment[1][4]. {{[[Resonai]]:https://www.resonai.com/blog/best-retail-analytics-companies}} : Recognized as the best overall retail analytics company, using digital twin technology for real-time updates on foot traffic and product interest without external sensors[2]. {{[[Cuebiq]]:https://www.resonai.com/blog/best-retail-analytics-companies}} : Specializes in broader location data analytics for retail[2]. {{[[Bedrock]]:https://www.resonai.com/blog/best-retail-analytics-companies}} : Focuses on analytics when products are on other shelves, useful for retail distribution analysis[2]. {{[[Wasteless]]:https://www.resonai.com/blog/best-retail-analytics-companies}} : Provides analytics for perishable products to optimize inventory and reduce waste[2]. {{[[Edited]]:https://www.resonai.com/blog/best-retail-analytics-companies}} : Offers market segment data analysis to help retailers tailor assortments and marketing[2]. {{[[RetailNext]]:https://www.resonai.com/blog/best-retail-analytics-companies}} : Known for integrating multiple local data streams for retail analytics[2]. {{[[FlyBuy]]:https://www.resonai.com/blog/best-retail-analytics-companies}} : Specializes in retail analytics for curbside pickup companies[2]. {{[[SAS]]:https://www.crn.com/news/software/2025/the-coolest-data-analytics-companies-of-the-2025-big-data-100}} : A longstanding leader with its SAS Viya platform offering advanced analytics, AI, and data governance for retail and other industries[4]. {{[[Alteryx]]:https://doit.software/blog/data-analytics-companies}} : Known for data preparation and advanced analytics, serving over 8,300 customers including retail businesses[5]. {{[[HCL Retail Analytics]]:https://www.trustradius.com/categories/retail-analytics?company-size=mid-sized}} : A mid-sized company offering retail analytics software focused on sales, inventory, and customer behavior insights[6]. {{[[Algonomy Merchandising Analytics]]:https://www.trustradius.com/categories/retail-analytics?company-size=mid-sized}} : Provides merchandising analytics to optimize retail assortments and pricing[6]. {{[[SupplyPike Retail Intelligence]]:https://www.trustradius.com/categories/retail-analytics?company-size=mid-sized}} : Focuses on retail intelligence for supply chain and inventory management[6]. {{[[ThoughtSpot Retail Analytics]]:https://www.trustradius.com/categories/retail-analytics?company-size=mid-sized}} : Offers AI-driven analytics and search-driven data exploration for retail[6]. {{[[Board Retail]]:https://www.trustradius.com/categories/retail-analytics?company-size=mid-sized}} : Provides integrated business intelligence and analytics for retail operations[6]. {{[[SPS Commerce]]:https://www.trustradius.com/categories/retail-analytics?company-size=mid-sized}} : Delivers retail analytics solutions focused on supply chain and commerce data[6]. These companies cover a wide range of retail analytics needs including real-time customer insights, demand forecasting, inventory optimization, location data, and AI-powered predictive analytics.

Top data analytics companies for retail include: 1. {{[[Nielsen]]:https://www.nielsen.com}} : Global leader in retail and consumer insights, providing comprehensive market research and data analytics. 2. {{[[Dunnhumby]]:https://www.dunnhumby.com}} : Specializes in customer data science, helping retailers personalize shopping experiences. 3. {{[[SAP]]:https://www.sap.com}} : Offers advanced retail analytics solutions through their retail-specific software platforms. 4. {{[[IBM]]:https://www.ibm.com}} : Provides AI-powered analytics tools for retail inventory management and customer behavior prediction. 5. {{[[Tableau]]:https://www.tableau.com}} : Powerful data visualization platform widely used in retail for understanding complex sales and customer trends. 6. {{[[Google Analytics]]:https://analytics.google.com}} : Essential for e-commerce and digital retail performance tracking. 7. {{[[Adobe Analytics]]:https://www.adobe.com/analytics}} : Advanced analytics platform for understanding customer journeys and digital retail performance. 8. {{[[SAS]]:https://www.sas.com}} : Enterprise-level analytics solutions with strong retail industry expertise. 9. {{[[Microsoft Power BI]]:https://powerbi.microsoft.com}} : Comprehensive business intelligence tool for retail data analysis and reporting. 10. {{[[Alteryx]]:https://www.alteryx.com}} : Data blending and advanced analytics platform popular in retail analytics. These companies offer diverse solutions for retail data analysis, customer insights, and strategic decision-making.

Leading data analytics companies for retail offer solutions spanning customer insights, inventory optimization, supply chain management, and personalized marketing. Here are some of the best: {{[[SAP]]:https://www.sap.com/products/analytics-cloud.html}} : SAP provides a comprehensive suite including SAP Analytics Cloud and SAP S/4HANA

"{{[[Google Cloud AI]]:https://cloud.google.com/ai}}, {{[[Microsoft Azure AI]]:https://azure.microsoft.com}}, {{[[AWS AI Services]]:https://aws.amazon.com/ai}}, {{[[IBM Watson]]:https://www.ibm.com/watson}}, {{[[Oracle Cloud AI]]:https://www.oracle.com/ai}} Ñ major cloud ecosystems offering end-to-end AI infrastructure and APIs."

The top AI cloud providers in 2025 include: - {{[[Amazon Web Services (AWS)]]:https://www.graphon.com/blog/best-cloud-service-providers}}: The largest cloud provider with a broad AI portfolio including Trainium and Inferentia AI chips, Amazon Bedrock for GenAI, and extensive global infrastructure. It supports scalable AI/ML workloads and offers a wide range of managed AI services[1][2][5]. - {{[[Microsoft Azure]]:https://www.graphon.com/blog/best-cloud-service-providers}}: Known for strong enterprise and hybrid cloud solutions, deep integration with Microsoft products, and advanced AI services like Azure AI and Azure Synapse Analytics. It is favored by regulated industries and enterprises invested in Microsoft ecosystems[1][5]. - {{[[Google Cloud Platform (GCP)]]:https://www.graphon.com/blog/best-cloud-service-providers}}: Offers powerful AI and machine learning tools, including TPU hardware for training and fine-tuning models. GCP is recognized for AI research support and scalable AI infrastructure[1][4]. - {{[[Oracle Cloud Infrastructure (OCI)]]:https://aimagazine.com/top10/top-10-cloud-platforms-for-ai}}: Focuses on high-performance databases and enterprise cloud infrastructure with AI capabilities suited for mission-critical applications[1][3]. - {{[[IBM Cloud]]:https://aimagazine.com/top10/top-10-cloud-platforms-for-ai}}: Provides AI cloud services with an emphasis on hybrid cloud and enterprise AI solutions[3]. - {{[[Alibaba Cloud]]:https://aimagazine.com/top10/top-10-cloud-platforms-for-ai}}: A major player especially in Asia, offering AI cloud services and infrastructure[1][3]. - {{[[Salesforce]]:https://aimagazine.com/top10/top-10-cloud-platforms-for-ai}}: Known for AI-powered CRM and enterprise AI applications[1][3][6]. - {{[[Snowflake]]:https://aimagazine.com/top10/top-10-cloud-platforms-for-ai}}: Specializes in data cloud with AI integration for analytics and data warehousing[3][6]. - {{[[Databricks]]:https://aimagazine.com/top10/top-10-cloud-platforms-for-ai}}: Provides unified data analytics and AI platform supporting AI model development and deployment[3]. - {{[[Northflank]]:https://northflank.com/blog/7-best-ai-cloud-providers}}: Emerging platform focused on full-stack AI/ML app deployment, model training, fine-tuning, and distributed AI research with strong developer workflows and environment flexibility[4]. Other notable AI cloud-related companies include {{[[Aible]]:https://www.crn.com/news/cloud/2025/the-20-hottest-ai-cloud-companies-the-2025-crn-ai-100}}, which partners with Google Cloud for enterprise AI, and {{[[Broadcom]]:https://www.crn.com/news/cloud/2025/the-20-hottest-ai-cloud-companies-the-2025-crn-ai-100}}, which focuses on AI networking and accelerators[2]. These providers offer a range of AI services including infrastructure for training large language models, AI chips, managed AI platforms, and hybrid cloud solutions tailored to different enterprise needs.

Top AI cloud providers include: 1. {{[[Amazon Web Services]]:https://aws.amazon.com}} : Offers comprehensive AI and machine learning services through Amazon SageMaker and AI infrastructure. 2. {{[[Microsoft Azure]]:https://azure.microsoft.com}} : Provides robust AI tools, cognitive services, and machine learning platforms. 3. {{[[Google Cloud]]:https://cloud.google.com}} : Delivers advanced AI and machine learning solutions with TensorFlow and AI Platform. 4. {{[[IBM Cloud]]:https://www.ibm.com/cloud}} : Offers Watson AI services and enterprise-grade machine learning capabilities. 5. {{[[Oracle Cloud]]:https://www.oracle.com/cloud}} : Provides AI infrastructure and machine learning services for enterprise customers. 6. {{[[Alibaba Cloud]]:https://www.alibabacloud.com}} : Delivers AI and machine learning services with strong presence in Asian markets. 7. {{[[Nvidia]]:https://www.nvidia.com}} : Specializes in AI computing infrastructure and GPU-accelerated machine learning platforms. These providers offer scalable cloud-based AI services, including machine learning, natural language processing, computer vision, and predictive analytics solutions for businesses and developers.