Agents Makers

eCommerce

AI agents for eCommerce.

eCommerce operating teams live on the seasonality curve. Q4 doubles or triples the workload that ran Q1 to Q3, and most teams hit that wall by hiring temp agents who never quite ramp. AI roles are how the operating model holds shape across the curve without hiring against the peak.

The pattern: deploy hireable roles in the workflows that scale with order volume (post-purchase support, returns, fulfillment exceptions, fraud review, AP for vendor invoices), keep them inside your existing stack (Shopify or commercetools, Gorgias or Zendesk, Stripe, your WMS), and measure them on the metrics your merchandising team already tracks.

The operating model in eCommerce.

  • Built for order-volume scale

    Every role is sized to absorb Q4 volume without breaking. Capacity is added by tuning the role's deployment, not by training new hires under fire.

  • Reads from your commerce stack directly

    Shopify, commercetools, BigCommerce, Magento on the storefront side. Gorgias, Zendesk, Kustomer on the support side. Stripe, Adyen, Klarna on payments. Roles connect to what you already run.

  • Returns, refunds, and exceptions are the actual work

    The post-purchase journey is where most eCommerce CS time goes. Returns processing, refund eligibility, lost-package replacement, address corrections — these are the high-volume, well-documented intents AI roles handle cleanly.

  • Measured on order-level metrics

    First-response time, contact-per-order ratio, refund processing time, fraud flag accuracy. Every role's KPI is something your operations team already reports weekly.

How it rolls out

The playbook a real Operating Partner runs.

  1. Phase 1

    Scope around the post-purchase queue

    Pull last 90 days of CS volume. Identify the top intents (returns, WISMO, refunds, address changes). The first role's capability set is built around those.

  2. Phase 2

    Wire commerce + support stack

    Connectors to your storefront (order lookup, refund processing) and your support tool (ticket draft, escalation routing). Authored response templates per intent.

  3. Phase 3

    Live before peak season

    Target launch is 30-60 days before the seasonal curve starts to climb. By week 2 of live operation, the role is absorbing real volume and the team's queue is visibly shorter.

  4. Phase 4

    Hold through peak, tune through trough

    Peak season the role absorbs the volume. Off-peak, tuning expands the capability set or adds adjacent workflows (fraud review, vendor invoice processing).

eCommerce roles ship to absorb order-volume scale without breaking. Every role below is structured around the post-purchase journey and the operational metrics your team already tracks.

Roles that fit this industry

16 roles

90-day operational guarantee. We agree on the outcome KPI before launch. If we haven't hit it by day 90, we keep working free until we do.

How it works →

Pick a role. Start deployment.

Every role in this view is hireable, governed, and anchored to the fully-loaded cost of the equivalent hire.