Observe
Watch live market conditions—such as weather, permits, water, and air quality—alongside approved customer and campaign data.
TradeMasterGrowth Engine
PLATFORM GUIDE · STAKEHOLDER BRIEF
Turn a market signal into governed growth—then reuse what works.
TradeMaster helps a marketing team identify timely demand, turn it into a relevant campaign, and measure whether the campaign created additional value. A coordinated team of specialized AI agents does the analysis and preparation; the marketer keeps final control.
HOW THE PLATFORM WORKS
A repeatable growth process—not another campaign dashboard.
Each step produces a visible business record—such as a qualified signal, audience, campaign, approval, or result—that the next step can review and improve.
WHAT MAKES IT AN ACCELERATOR
Package the hard parts once. Launch the next use case with proven context.
An accelerator is a reusable playbook for a growth opportunity. It combines the signal to watch, approved data, AI responsibilities, business rules, campaign outputs, and measurement plan. The next team starts with a governed workflow instead of rebuilding the process from scratch.
EXAMPLE · WEATHER-TO-DEMAND
Forecast threshold→Eligible trade audience→Catalog-grounded campaign→Compliance gate→Matched holdout
Trigger
The business condition that starts the workflow: weather, water levels, air quality, permit momentum, category gaps, or reorder timing.
Approved inputs
A defined list of data the workflow may use. Every source keeps its name, freshness, and whether it is live or modeled.
Specialized AI team
Five focused AI agents handle signal analysis, audience selection, campaign creation, compliance, and measurement. One orchestrator coordinates their handoffs.
Business guardrails
Reusable rules for brand voice, product claims, privacy, audience exclusions, sensitive events, and required human approval.
Measurement plan
The business question, success metric, comparison group, and learning goal are defined before activation—not added after the campaign.
HOW THE AI STAYS USEFUL AND CONTROLLED
Automation prepares the decision. A marketer owns the decision.
The platform makes the underlying evidence, safeguards, and system behavior visible so leaders can evaluate both the recommendation and how it was produced.
A controlled traffic layer for AI models.
Vercel AI Gateway routes each task to the selected model and can use an approved backup if that model is unavailable. The team can see which route was used.
A dependable backup when generative AI is unavailable.
The workflow can still produce a structured recommendation using predefined business rules. A fallback is labeled clearly; it never pretends to be an AI-generated result.
Recommendations tied to real products—not invented suggestions.
Campaigns include real SupplyHouse SKUs, direct product links, fit rationale, and compatibility notes. The live SupplyHouse page remains the source of truth for current price and availability.
The marketer stays accountable for activation.
Kaylin can preview each channel, edit the copy, review compliance changes, confirm an approval statement, and schedule the campaign. Nothing sends automatically in this prototype.
THE HUMAN REVIEW JOURNEY
Preview → Edit → Verify → Approve → Schedule
The campaign cannot advance until a reviewer has seen the member experience, considered any compliance revisions, and explicitly accepted responsibility for activation.
Open a grounded campaign →WHY THIS CHANGES THE DELIVERY MODEL
From isolated use cases to a compounding growth capability.
- Logic rebuilt for every campaign
- Prompts and policies hidden in handoffs
- Measurement added after launch
- Learning stays with one team
→
- Reusable signals, tools, and clearly assigned AI roles
- Evidence and governance visible by default
- Experiment design built before activation
- Learning improves the next recommendation
PATH FROM DEMO TO VALUE
Start narrow, prove incrementality, then scale the pattern.
NOW01
Stakeholder prototype
Live public demand signals, synthetic commerce activation, working AI orchestration, and inspectable governance.
PILOT02
Prove one accelerator
Connect approved customer and order aggregates, select one channel, define holdouts, and validate incremental impact.
SCALE03
Build the growth system
Add reusable accelerators, production channel connectors, monitoring, access controls, and a shared learning library.
PROTOTYPE DATA BOUNDARY
Real market timing. Clearly labeled modeled business impact.
Weather, National Weather Service alerts, U.S. Census permit momentum, USGS water gauges, AirNow air quality, and NASA satellite fire detections are live public inputs. Product references link to the public SupplyHouse catalog. Customer audiences, purchase behavior, revenue estimates, and experiment outcomes are modeled examples until approved production data is connected. Current product price and availability must always be verified on SupplyHouse.com.
Give marketing leaders one place to manage the portfolio, controls, and value case.
The AI control plane shows which growth accelerators are active, who owns them, whether data sources are healthy, which policies are enforced, how AI models are routed, and where recommendations can be paused. It also connects the prototype to a 90-day pilot plan and an adjustable business-value scenario.
Open the AI control plane →