What challenges did Vxceed Technologies NZ LTD face before AI implementation?

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.

What was the impact of the AI solution?

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.

Source

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

25%

promotion ROI improvementOther quantified impact

250,000,000 USD/daydaily transactions processed400,000 outletsoutlet coverage expansion5%sales uplift10%sales uplift15%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

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.

Technologies

Amazon Bedrock AWS Step Functions AWS Lambda DynamoDB

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.

Implementation partners1

Prototyping & Cloud Engineering (PACE)

Sources & evidence1

Groundedness: 5/5Type: Customer StoryPublished: May 27, 2026Publisher: AWSEvidence: VendorConfidence: Medium

Primary source

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Customer evidence