AWS Step Functions

3 use cases using this technology

3published use cases

2industries

1countries on record

Generative AI

top AI capability

Evidence mix: High 3 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry

Country

3 use cases

AutomotiveGenerative AIConversational AI

BMW Group builds CLEAI, a generative AI assistant for cloud cost optimization on AWS

BMW Group's FinOps Center of Excellence, with AWS Professional Services, built CLEAI, a generative AI assistant inside its CLEA cloud cost tool. Users ask in natural language about cloud costs and metadata, get optimization recommendations drawn from AWS documentation and BMW's internal FinOps knowledge base (RAG with Amazon Bedrock Knowledge Bases), and get generated Terraform, CLI and Python code. The source states it supports more than five thousand users and speeds up analysis and implementation by up to 50%.

BMW Group· GermanyAmazon Bedrock · Amazon Bedrock Knowledge Bases · Amazon OpenSearch Serverless +4

AutomotiveGenerative AI

smart Europe builds smart.AI Case Handler for customer support agents with Amazon Bedrock

smart Europe GmbH, an electric vehicle maker headquartered in Leinfelden-Echterdingen, Stuttgart, collaborated with AWS to build smart.AI Case Handler, a serverless generative AI tool that supports customer support agents working in Salesforce. An Intelligent Case Tagger categorizes and prioritizes new cases, and a Case Insights Generator provides AI-generated case summaries, similar historical cases, knowledge article excerpts and suggested responses using Amazon Bedrock. The blog post reports a 40% decrease in case resolution times and a 20% increase in first contact resolution.

smart Europe GmbHAmazon Bedrock · Amazon Aurora · Amazon EventBridge +5

Consumer GoodsAgentic AIGenerative AI

Vxceed builds a near real-time multi-agent AI platform using Amazon Bedrock

Vxceed, a global SaaS provider of AI-powered sales and distribution solutions for consumer packaged goods (CPG) companies, built a multi-agent AI platform on Amazon Bedrock to interpret store-level signals in near real time across traditional trade retail outlets. Specialized agents interpret field signals, summarize patterns, generate narrative explanations, and recommend next steps, and also collaboratively produce short AI-generated video news bulletins (script, audio, and visuals each by a different agent) summarizing daily risks and opportunities. Built with Amazon DynamoDB, AWS AppSync WebSockets, AWS Lambda, and AWS Step Functions, the platform processes about US$250 million in daily transactions for major customers, expanded outlet coverage from 1.6 million to over 2 million stores in 18 months, and delivered 5-10% sales uplift and 15-25% improvement in promotion ROI through earlier issue detection.

VxceedAmazon Bedrock · Amazon DynamoDB · AWS AppSync +2