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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

+18%

average order value lift on AI-personalised flows

24×7

Tier-1 customer service coverage

DTC E-commerce Brand — Autonomous AI agents that manage inventory, marketing, and customer service.

E-commerce · DTC

DTC E-commerce Brand

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

01

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.

02

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.

03

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.

Operations now run with 42% less headcount for the same volume. The team owned this end-to-end.

DTC E-commerce Brand

E-commerce · DTC

−42%

ops headcount required to run the same volume

+18%

average order value lift on AI-personalised flows

24×7

Tier-1 customer service coverage

Deliverables

What we shipped.

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

The tools we used.

Claude SonnetGPT-4oShopify APIKlaviyoZendesk
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