Vendor Procurement AI Agent
phData · Logistics & Supply Chain
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
phData delivered an Agentic AI-powered automation solution in just six weeks, leveraging a powerful combination of Amazon Nova-Act for intelligent action generation and PlaywrightMCP for robust browser automation. This dual-tool approach provided the foundation to successfully navigate the end-to-end procurement processes for all seven vendors.
The core of the system is a Fine-Tuned Nova LLM that acts as the intelligent "brain" for the operation. To navigate the vendors' sites, the system mapped each process into “golden paths,” which are stored as Vendor Agent Plans. These plans provide the AI agent with proven strategies for executing the correct login, cart management, checkout, and payment steps.
Show the rest of the publisher’s description (2 more lines)
To ensure accuracy and prevent errors, every instruction generated by the LLM is first checked by an Action Validation module before execution. If an action is invalid, an immediate feedback loop prompts the LLM to self-correct and generate a new action. For complex scenarios with low confidence, like a CAPTCHA, the system intelligently triggers a Handoff to Human, ensuring process continuity.
The solution is engineered to become smarter over time. A Nightly Review of Golden Paths analyzes successful runs to refine the agent's strategies, while performance data is collected to continuously fine-tune the core LLM itself. The entire application is containerized in an ECS Pod for scalability, and comprehensive Action Logging provides full visibility for auditing and analysis.
Highlights
Highlighted by the publisher on AWS Marketplace.
Intelligent End-to-End Automation: Amazon Nova Act paired with MCP technology executes complex procurement workflows (login, cart, checkout, payment) across vendors with accuracy and adaptability.
Built-in Reliability & Human Safeguards – Action Validation with real-time AI evaluation loops ensures autonomous error correction, with human handoff for extreme edge cases, guaranteeing process continuity.
Continuous Learning & Scalability – Agent trace validation and performance-driven fine-tuning make the system smarter over time, while ECS containerization and full Action Logging deliver enterprise-grade scalability, transparency, and auditability.
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

