Normalized claim
Daily transactions processed: 250,000,000 USD/day
processes about US$250 million in daily transactions
Vxceed builds a near real-time multi-agent AI platform on Amazon Bedrock for retail execution
Use case typeRetail analytics platformUpdated Jun 13, 2026
Vxceed, a global SaaS provider for consumer packaged goods sales and distribution, built a near real-time AI platform on AWS to improve store-level visibility and execution for retail-focused organizations. The platform interprets store signals, produces actionable guidance for commercial teams, and generates AI news bulletins with audio and video.
- Organization
- Vxceed Technologies NZ LTD
- Industry
- Consumer & Food
- Location
- New Zealand
- Published
- May 2026
Reported outcomes
250,000,000 USD/day
daily transactions processedOther quantified impact
400,000 outletsoutlet coverage expansion5-10%sales uplift15-25%promotion ROI improvement
Strategic outcomes
New product / capabilityBuilt a near real-time AI retail execution platformScale & capacityExpanded outlet coverage across more storesBetter decisions & insightDelivered territory-specific insights for faster decisionsNew product / capabilityGenerated AI news bulletins with multimedia components
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Outlet coverage expansion: 400,000 outlets
expand outlet coverage from 1.6 million to over 2 million stores
Normalized claim
Sales uplift: 5-10%
Typical results include 5–10 percent sales uplift
Normalized claim
Promotion ROI improvement: 15-25%
15–25 percent gains in promotion ROI
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Vxceed Technologies NZ LTD
- Provider
- AWS
- Maturity
- Unknown
- Linked source
- AWS Case Study
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 4
- 1Retail Execution Analytics
- 2Multi-Agent AI
- 3Real-Time Insights
- Consumer packaged goods companies lacked real-time visibility into stockouts, promotions, and field visit compliance across millions of outlets.
- Managers relied on end-of-day or weekly reports, making it difficult to spot execution issues quickly enough to act.
- Vxceed built a near real-time, multi-agent AI platform on Amazon Bedrock.
- AWS Step Functions orchestrate ingestion and multi-step Bedrock agent workflows, while DynamoDB stores visit activity, behavioral data, inventory indicators, and promotional signals.
- The platform also uses WebSockets to stream near real-time events into the system and produce automated news bulletins with script, audio, and visual components generated by different agents.
- The platform processes about US$250 million in daily transactions.
- Customer deployments expanded outlet coverage from 1.6 million to more than 2 million stores within 18 months.
- Typical results include 5-10% sales uplift and 15-25% promotion ROI improvement.
- The AI-generated bulletins provide 2-3 minute territory-specific insights that speed decision-making.
Architecture
A multi-agent architecture on Amazon Bedrock interprets store-level signals and generates narratives, recommendations, and AI news bulletins. AWS Step Functions orchestrate the ingestion pipeline and multi-step Bedrock workflows, DynamoDB stores operational signals, and WebSockets stream near real-time events into the platform.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: May 27, 2026Publisher: AWSEvidence: VendorConfidence: Medium
AI-generated summary. Verify important details with the linked sources before relying on this case.
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