Kyndryl + Teradata AI for BI in Retail: GenAI Insights on AWS.

Kyndryl + Teradata AI for BI in Retail is a GenAI-powered analytics solution that transforms how retailers access insights, forecast demand, and run operations. Built jointly by Kyndryl, AWS, and Teradata, it allows business users to ask natural-language questions and instantly receive actionable, data-backed insights without relying on BI teams or navigating complex dashboards.

The solution leverages Amazon Bedrock, Teradata VantageCloud Lake, and a secure multi-modal MCP architecture to orchestrate natural-language understanding, SQL generation, predictive analytics, and document intelligence. It removes manual reporting delays and delivers intuitive, governed insights to retail personas including store managers, merchandisers, marketers, and executives.

How it works on AWS?

User queries are submitted through a React-based retail insights web application running on Amazon ECS or AWS App Runner, fronted by Amazon API Gateway. Requests are processed by AWS Lambda, which enriches the prompt and routes it to the appropriate AI and data services.

Amazon Bedrock (Claude Sonnet 4) interprets natural-language questions such as revenue trends or stockout risks. Using MCP tools, Bedrock securely connects to the Teradata MCP Server on Amazon EC2, ensuring governed access to enterprise retail datasets.

Teradata VantageCloud Lake executes SQL and analytics at scale across sales, inventory, promotions, and loyalty data. ClearScape Analytics enables demand forecasting, anomaly detection, SKU and category insights, and advanced retail models. Bedrock then generates narrative insights, recommended actions, and visual outputs, which are returned to the user in near real time.

Security is enforced through AWS IAM for access control, AWS KMS and AWS Secrets Manager for encryption and credential management, and Amazon GuardDuty for threat detection. Amazon CloudWatch and AWS CloudTrail provide observability and auditability, while cold data can be archived in Amazon S3 Glacier.

Key AWS services:

• Amazon Bedrock
• AWS App Runner, Amazon ECS
• Amazon EC2 (MCP Server)
• Amazon API Gateway
• AWS Lambda
• Amazon S3
• AWS IAM, AWS KMS, AWS Secrets Manager
• Amazon CloudWatch, AWS CloudTrail, Amazon GuardDuty

Teradata Components

• Teradata MCP Server
• Teradata VantageCloud Lake, ClearScape Analytics.

What buyers get:

• Self-service analytics: Business users receive instant, governed insights generated by Bedrock and executed securely against Teradata VantageCloud, eliminating slow reporting cycles.

• Operational document intelligence: Retail documents stored in Amazon S3 are processed using Amazon Textract and Amazon Comprehend, allowing unstructured content to be combined with structured data.

• Security and compliance by design: Built-in AWS security services ensure least-privilege access, encryption, monitoring, and audit readiness.

• Scalable, low-ops architecture: AWS managed services reduce operational overhead while Teradata delivers high-performance analytics at scale.

• Fast time-to-value: Designed to deliver a functional MVP in 8–10 weeks, with extensions for fashion, grocery, convenience, and big-box retail.

Typical flow

1. The user enters a natural-language question through the retail insights web UI hosted on Amazon ECS or AWS App Runner.

2. Amazon API Gateway → AWS Lambda → Amazon Bedrock interprets the query and generates structured analytic instructions.

3. Bedrock uses MCP tools to interact with the Teradata MCP Server running on Amazon EC2, enabling secure execution against retail data in Teradata VantageCloud Lake.

4. VantageCloud runs the SQL, forecasting, or analytic workloads via ClearScape Analytics, and results flow back through Lambda to the UI.

5. If the workflow requires document context, Amazon Textract and Amazon Comprehend process documents stored in Amazon S3, enriching the data.

6. Final insights, summaries, or recommended actions are rendered in the UI in real time.

7. IAM, KMS, Secrets Manager, GuardDuty, CloudWatch, and CloudTrail enforce continuous security, governance, and monitoring throughout the entire interaction path.

Deployment & fit

Built for retailers with existing SQL-based enterprise data (including Teradata environments), the solution delivers AI-assisted insights without requiring BI re-platforming. AWS-native, serverless components enable rapid deployment and scaling, while Teradata VantageCloud and ClearScape Analytics provide proven performance for retail analytics, forecasting, and operational intelligence.