# How are Hunter Douglas's AI agents driving revenue?

> Hunter Douglas uses Decagon AI agents across markets. Decagon reports 40% average deflection, more than $1 million in revenue from conversations handled fully by AI, and 85% higher average order value among customers who engaged an agent.

- **Evidence grade:** B — Named organization with a quantified outcome, from the vendor or the organization's own announcement.
- **Organization:** Hunter Douglas (window coverings manufacturer)
- **Industry:** Consumer Products & Retail — Home furnishings manufacturer
- **Roles:** Customer Support, Sales Development (SDR)
- **Tools:** Decagon AI agent (Decagon)
- **Status:** production · **Agent pattern:** autonomous-agent · **Autonomy:** 3/4
- **Last verified:** 2026-10-17

## Reported outcomes
- revenue from AI-only conversations: more than $1 million [1] (self-reported)
- average order value (engaged vs not): 85% higher [1] (self-reported)
- deflection: 40% of inbound volume on average [1] (self-reported)

## How it works
1. Decagon AI agent answers inbound customer conversations.
2. Escalates to human agents when needed.

## Risks & compliance
- Incorrect answers to customers; escalation paths needed
- Vendor-published results; not independently audited

## Sources
1. Decagon, "Hunter Douglas and Decagon" (undated; accessed 2026-10-17) <https://decagon.ai/case-studies/hunter-douglas>
   > "Additionally, more than $1 million in revenue has already come from conversations fully handled by AI, without ever being escalated to a human."

Canonical: https://agentcasefile.com/cases/hunter-douglas-decagon-ai-agent/ · License: CC BY 4.0 (summary) · Source: Agent Casefile