Case study · E-commerce

DTC E-commerce Brand · E-commerce · DTC

Autonomous AI agents that manage inventory, marketing, and customer service.

An agent swarm running inventory replenishment, lifecycle marketing, and Tier-1 customer service for a growing DTC brand.

−42%ops headcount required to run the same volume

At a glance

Client
DTC E-commerce Brand · E-commerce · DTC
Headline metric
−42% ops headcount required to run the same volume
Deliverables
4 shipped to production
Stack
5+ tools across the build

The challenge, approach & outcome.

  1. Challenge

    A DTC brand growing 8% MoM was being held back by operational drag — inventory decisions, marketing campaign setup, and customer-service response times. Hiring couldn't keep up; mistakes were getting expensive.

  2. Approach

    Designed a bounded agent swarm: an inventory agent forecasting replenishment, a marketing agent drafting and scheduling lifecycle flows against customer segments, and a customer-service agent fronting Zendesk with handoff rules. Every agent's actions are logged, reviewed weekly, and gated by approval thresholds.

  3. Outcome

    Operations now run with 42% less headcount for the same volume. AI-personalised lifecycle flows drove an 18% lift in average order value. Tier-1 customer service is 24×7 with sub-3-minute first response.

ops headcount required to run the same volume
−42%
average order value lift on AI-personalised flows
+18%
Tier-1 customer service coverage
24×7

Deliverables

What we shipped.

  • Inventory agent
  • Marketing agent
  • Customer-service agent
  • Approval gates & audit logs

Stack

The tools we used.

  • Claude Sonnet
  • GPT-4o
  • Shopify API
  • Klaviyo
  • Zendesk

Have a similar problem?

Let's talk about your version of this.

30-minute discovery call. No NDA gatekeeping. We'll tell you straight whether we're a fit.