Agent Overview

Relay AI agent illustration

Relay

Supplier & Co-Man Coordination

Relay is the coordination engine for the external work that slows Product Development down. It runs the product-specific supplier and co-manufacturer loop—RFQs, questions, quotes, MOQs, lead times, capability fit, and readiness tracking—so teams stop losing weeks in email threads and spreadsheet comparisons. Relay standardizes how information is requested and captured, keeps assumptions explicit, and surfaces the risks that derail launches: unrealistic lead times, missing certifications, packaging/line constraints, ingredient availability, and “yes-we-can” responses that fall apart at pilot. Built to support judgment, not replace it: your team selects the partners and trade-offs, Relay keeps the process tight, comparable, and predictable.

Primary Outputs

Typical deliverables
RFQ package: standardized request set (specs, volumes, pack formats, targets, timing) tailored to the product
Quote comparison table: apples-to-apples view of pricing, MOQs, lead times, assumptions, and included services
Capability fit check: line constraints, batch sizes, packaging formats, allergens, and required certifications
Readiness tracker: milestones for onboarding, samples, trials, pilots, and launch-capacity confirmation
Supplier risk flags: long-lead inputs, packaging constraints, capacity gaps, quality history, and single-point dependencies
Q&A log: all supplier questions, answers, and clarifications captured and tied back to spec versions

Core Capabilities

What it does
Standardizes RFQs so suppliers respond with comparable inputs instead of custom formats and vague assumptions
Tracks MOQs, lead times, capacity, and service scope so feasibility and timing are visible early
Checks capability fit against product requirements: line constraints, packaging formats, allergens, and certifications
Maintains a clean Q&A and assumption log so supplier clarifications don’t get lost or contradicted later
Flags supplier risks that derail launches: long-lead inputs, unrealistic timing, missing documents, and capacity gaps
Creates readiness visibility across onboarding, samples, trials, pilots, and launch capacity confirmation

Operational Fit

How it’s used
Used By

Product development, R&D, packaging engineering, operations, QA, and co-manufacturing managers.

Used For

Supplier selection support, quote cycles, co-man onboarding, pilot scheduling, and keeping external readiness on-track.

Typical Questions
  • Who can make this product with our required pack formats and constraints?
  • What are the real MOQs, lead times, and assumptions behind each quote?
  • What supplier risks will cause launch delay or pilot failure?