Agents built to act, not just advise

Chord Agents are AI-powered operators that analyze data, build audiences, optimize spend, and take action across your commerce stack.

Current Agents

Live agents taking real actions

Data Analysis Agent

Answers complex data questions in natural language.

• Active
  Ask any question about your commerce data and get a direct, grounded answer — no SQL required. The agent draws on your full Data Foundation and Context Layer to produce results you can act on.

Query
“Which channel drove the highest LTV customers last quarter?”

Answer
Google / Search — $312 avg LTV, 2.4× above the blended average.

Audience & Targeting Agent

Builds and refines audience segments on demand.

• Active
  Uses behavioral data, purchase history, and predictive signals to create precise audience segments for campaigns. Grounded in your full data model — not just what a single platform can see.

Audience
4.2k
Rev. impact
+$8.4k/mo
Conv. rate
6.1%

Spend Optimization Agent

Analyzes performance and acts on budget allocation.

• Active
  Monitors channel performance against your KPIs and business rules, then recommends — or automatically executes — budget reallocation.

Question Clarification Agent

Prevents confidently wrong answers.

• Active
  Detects ambiguous or incomplete questions before producing results — and resolves them.

Input
"What's our revenue growth?"
Resolved as

• Metric: Net revenue
• Period: Year-over-year
• Channel: DTC only

Input
"Show our best performing channel"
Resolved as

• Metric: LTV-adj. CAC
• Window: Last 90 days
• Scope: All paid channels

Agents we're building

• Retention Agent
  Identifies at-risk customers and executes win-back campaigns before they churn.
• Pricing Agent
  Monitors competitive signals and margin data to recommend dynamic price adjustments.
• Inventory & Demand Agent
  Forecasts demand by SKU, flags reorder risks, and surfaces overstock issues early.
• Merchandising Agent
  Optimizes product placement, cross-sell surfaces, and collection sequencing.
• Loyalty Agent
  Tracks loyalty program health and optimizes reward economics for long-term retention.
• Forecasting Agent
  Projects revenue, CAC trends, and channel performance across future time horizons.
• Email & SMS Agent
  Plans and optimizes lifecycle messaging based on behavioral triggers and purchase signals.
• Creative Performance Agent
  Analyzes ad creative performance across channels and surfaces briefs for what to produce next.
• Returns Agent
  Identifies return pattern anomalies and flags risks before they hit your margin.

Why agents need context

Chatbots answer questions. Chord Agents act on answers.

Agents without context are just LLM wrappers. Chord's agents draw on the full Context Layer — which is why they can be trusted with real decisions.

FAQ

What can Chord's agents do today?

Today, Chord has four active agents: a Data Analysis Agent that answers complex data questions in natural language; a Question Clarification Agent that prevents wrong answers; an Audience & Targeting Agent that builds and refines segments; and a Spend Optimization Agent that recommends or executes budget reallocation.

Can agents take action automatically or do they need approval?

Both modes are supported. Agents can surface recommendations for human approval, or be configured to act autonomously within guardrails your team defines.

How do agents learn from my data?

Agents draw on the full Context Layer — which includes your unified data, business rules, and institutional memory — before every action. The Context Layer improves over time as your team interacts with Chord.

What makes these different from a chatbot?

Chatbots answer questions. Chord Agents act on answers. They're grounded in your full data and business context, designed to take specific actions, and capable of operating autonomously within defined guardrails.