{"slug":"vxceed-builds-a-near-real-time-multi-agent-ai-platform-using-amazon-bedrock","url":"https://findausecase.com/use-cases/vxceed-builds-a-near-real-time-multi-agent-ai-platform-using-amazon-bedrock","title":"Vxceed builds a near real-time multi-agent AI platform using Amazon Bedrock","description":"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.","company":"Vxceed","industry":"Consumer Goods","aiCapabilities":["Agentic AI","Generative AI"],"businessFunctions":["Sales"],"technology":["Amazon Bedrock","Amazon DynamoDB","AWS AppSync","AWS Lambda","AWS Step Functions"],"deployment":"Public Cloud","evidence":{"band":"high"},"sourceUrl":"https://aws.amazon.com/solutions/case-studies/vxceed-bedrock-ai/","dates":{"publishedAt":"2026-09-26T05:45:47.898Z","publishedAtSource":"pipeline","updatedAt":"2026-09-26T05:45:47.898Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/vxceed-builds-a-near-real-time-multi-agent-ai-platform-using-amazon-bedrock. Bulk republication requires permission."}