Retail enterprises are under increasing pressure to drive intelligent decisions, personalize experiences, and operate efficiently while managing fragmented data across ecommerce, Point of Sale (POS), warehouse, and supplier systems. Unifying and governing this data facilitates advanced analytics, AI adoption, and agile execution.
In this post, we describe how the Concierto Insights & Agentic AI Platform, a third-party solution available in AWS Marketplace, helps retail and consumer goods organizations build high-quality, governed data products on AWS through domain-driven modeling and built-in quality controls. Organizations can use Concierto Insights to standardize data management processes and support their forecasting, planning, and innovation initiatives.
This post demonstrates how to subscribe to the Concierto Insights & Agentic AI in AWS Marketplace and provides step-by-step guidance on how to use AWS Marketplace streamlined procurement processes to deploy a solution that helps teams design, publish, and consume trusted data products, standardizing data pipelines and powering enterprise-wide AI and decision-making.
Retailers often face the following data challenges:
Concierto Insights by Trianz is a modern analytics platform on AWS that transforms fragmented retail data into business-ready data products without coding.oncierto’s federation engine queries data across multiple data sources in real time and leverages its Data Build Tool (dbt) based transformation engine to enrich data at the source instead of relying on ETL.
Concierto Insights addresses critical retail challenges by enabling real-time inventory visibility, unifying planning data for better product mix decisions, streamlining fulfilment, integrating supplier performance, and supporting accurate demand forecasting.
Concierto’s approach consists of the following key tenets:
The following diagram illustrates Concierto Insights’ high-level architecture.
Figure 1: Concierto Insights high-level architecture
In this post, we set up Concierto Insights using Amazon Elastic Container Service (ECS), Amazon Relational Database Service (Amazon RDS), AWS Network Firewall, Amazon Simple Storage Service (Amazon S3), and supporting network components. The following diagram depicts the overall solution architecture.
Figure 2: Concierto Insights deployment architecture
The Concierto Insights solution consists of the following key components:
To implement this solution, you must have the following prerequisites:
Complete the following steps to launch the Concierto Insights & Agentic AI Platform:
After the CloudFormation stack is complete, you will receive a follow-up email. This email will inform the user that their CloudFormation stack has been provisioned and will provide essential details such as the username, password, and the application URL to access their environment.
Complete the following steps to log into Concierto Insights:
Complete the following steps to create an unstructured data source:
Figure 3: Unstructured data source selection
The following screenshot shows your new unstructured data source.
Figure 4: Unstructured data source creation
Complete the following steps to create a structured data source:
The following screenshot shows your configured structured data source.
Figure 5: Structured data source creation
Complete the following steps to create a data product:
Figure 6: Data product creation
The data product appears on the Published tab with all attributes.
In this section, we explore the features of Concierto Insights and provide some examples of how to use it.
The Published tab shows only data products created by the logged-in user.
Figure 7: Published data products
The Marketplace tab displays all data products across Concierto; they are marked as Accessible or Restricted based on IAM role permissions.
Figure 8: Published Marketplace data products
With Conversa, users can query a data product:
The results appear with a visualization. You can save or publish the results as insights.
Figure 9: Concierto Insights Conversa
The SQL notebook feature supports SQL operations like SELECT, INSERT, UPDATE, and DELETE on data products.
Figure 10: SQL Notebook
Users can use the Python notebook feature to write and execute Python code for data exploration and visualization.
Figure 11: Python Notebook
Users can also generate queries using the AI assistant:
You can publish the query results as a data product.
Figure 12: AI Assistant
With the Live Intel feature, users can choose a data product and configure chart type, axes, filters, and settings, and then save the chart with a name and description.
Figure 13: Live Intel – Charts
The Live Intel feature also provides pre-built applications with multiple charts to monitor and explore key metrics in real time.
Figure 14: Live Intel – Applications
This post demonstrates how Concierto Insights, available in AWS Marketplace, enhances AWS’s comprehensive data services by creating an integrated, business-user-friendly platform. Concierto Insights amplifies AWS capabilities through enterprise governance, conversational AI, and Agentic orchestration that accelerates business outcomes. Data teams can focus on deriving insights rather than tool orchestration, while business users can naturally interact with federated data without deep technical expertise.
For retail organizations, Concierto Insights streamlines federated data implementation by connecting diverse data sources like POS, inventory, and eCommerce systems through its federation-first approach and semantic modeling layer. The platform helps retailers drive customer-focused decisions across search, inventory, fulfillment, and planning while benefiting from AWS Marketplace’s security, scalability, and cost optimizations.
To find out more, visit Concierto Insights & Agentic AI Platform or request a demo.
Hamdy Eed is a Sr. Partner Solution Architect with AWS and is a member of the Serverless Technical Field Community. With over 20 years of industry experience, he is well-recognized as a Subject Matter Expert in serverless and enterprise integration. Prior to AWS, he worked at NIC Inc. and held several positions at IBM. In his spare time, he coaches soccer to elementary school students and enjoys international travel. You can reach him on LinkedIn.
Karthik Rajendran is a Senior Solutions Architect at AWS with over 25 years of extensive experience in enterprise architecture across diverse sectors including Finance, Retail, Insurance, and Energy. He specializes in architecting and building distributed, hybrid, and cloud-native applications, passionately supporting enterprise customers through their cloud migration journeys. Beyond his professional expertise, Karthik enjoys Milky Way photography and riding motorcycles.
Gaurav Mittal is the Product Head for Concierto at Trianz, overseeing strategy and innovation for the company’s cloud modernization platform. With more than 20 years of experience in data, AI, and enterprise platforms, he focuses on architecting scalable, automation-driven solutions for clients worldwide. Prior to Trianz, he led product initiatives across enterprise SaaS organizations. In his spare time, Gaurav enjoys technology blogging and mentoring startup teams. You can reach him on LinkedIn
Ramandeep Singh is a Data & AI Solutions Lead at Trianz, helping enterprises accelerate transformation through cloud, analytics, and AI-driven innovation. With 14 years of experience in IT services and consulting, he leads Presales initiatives, GTM Offerings strategy, and Client workshops. He has co-authored whitepapers on AI and modernization. In his spare time, he follows technology trends and travels to explore new perspectives. You can reach him on LinkedIn
