AI Automation for E-commerce — Order Ops Without
the Overhead.
We automate order management, customer support, returns, and inventory workflows for e-commerce operators. Your team handles exceptions. AI handles the queue.
85%
Faster order processing
Industry estimate: AI-automated order ops vs. manual processing queues
60–70%
Support tickets automated
Order status, tracking, and returns handled without a human agent
24/7
Customer coverage
No staffing gaps on evenings, weekends, or peak sale events
2–4 wks
PoC to live
Fixed-scope proof of concept on your real order data before full commitment
What we build
6 e-commerce workflows we automate end-to-end.
Each starts with a 2–4 week proof of concept on your real order data. You see results before committing to a full build.
Order Management Automation
Incoming orders trigger a multi-step workflow: inventory check, fulfillment routing, carrier selection, label generation, and customer confirmation — all without a human touching the queue. Exception handling (out-of-stock, address mismatch, payment hold) escalates to your ops team with full context already attached.
Up to 85% reduction in manual order processing time (industry estimate)
AI Customer Support — Order Inquiries
A trained AI agent handles "where is my order," tracking updates, delivery exceptions, and estimated arrival questions against your OMS in real time. Customers get answers in seconds at any hour. Your support team handles the 20–30% that need human judgment — returns disputes, damaged items, address corrections.
Industry benchmark: 60–70% of order-related tickets deflectable by AI
Returns & Refund Processing
Customers initiate returns via chat or voice. The AI validates eligibility against your policy, generates the return label, updates your OMS, and triggers the refund workflow — all before the conversation ends. For edge cases (damaged goods, fraud signals, high-value items), the AI packages the context and routes to a specialist.
Returns processed in minutes, not days
Inventory & Supplier Workflow Automation
Reorder triggers, supplier PO generation, lead-time alerts, and stockout notifications automated end-to-end. When inventory crosses a threshold, the workflow runs: generate PO, email supplier, update ERP, notify the buying team. No manual monitoring, no spreadsheet hand-offs.
Stockouts and over-orders caught before they become customer problems
Post-Purchase Communication Sequences
Order confirmation, shipment notification, delivery confirmation, review request, and replenishment nudge — all triggered automatically by order events in your OMS. Each message is generated by AI with order-specific detail, not a template with blank fields. Sequences branch based on delivery status, product category, and customer history.
Zero manual sends; every touchpoint covered
Fraud & Chargeback Triage
High-risk orders flagged for review before fulfillment — not after a chargeback. The AI scores orders against your historical fraud patterns, applies configurable rules, and either clears the order, holds it for review, or cancels automatically. Chargeback responses auto-drafted with transaction evidence and sent to your payment processor.
Chargebacks addressed before they become disputes
Platform integrations
Works with your stack, not against it.
We integrate with every major e-commerce platform, OMS, ERP, and customer support tool. Custom stacks are handled during the PoC — if it has an API, we can connect.
Shopify
Order, inventory, and customer data via Shopify Admin API and webhooks
WooCommerce
Full order lifecycle via WooCommerce REST API
Magento / Adobe Commerce
OMS and catalog integration via REST and GraphQL APIs
Salesforce Commerce
B2C and B2B order management, customer profiles
NetSuite / ERP
Inventory, PO, and fulfillment sync via SuiteScript and REST
Zendesk / Freshdesk
Ticket creation, updating, and closure via AI agents
ShipStation / Easyship
Label generation and carrier routing automation
Klaviyo / Attentive
Post-purchase and lifecycle campaign triggers
What we hear before the PoC
"Our operations are too complex to automate."
"Our order workflows are too complex to automate."
Complex is usually "high-branching," not "impossible." We map every branch — backorders, split shipments, address errors, fraud holds — and build explicit handling for each. The AI handles the 80% common path; exceptions route to humans with full context pre-loaded. The PoC runs on your real order data so you see exactly how your edge cases are handled before committing.
"We can't afford for AI to get a return or refund wrong."
Neither can we. High-stakes decisions (refunds above threshold, fraud escalations, disputed charges) always route to a human in the first phase. The AI handles intake, validation, and preparation. You approve the action. Over time, as you build confidence in the decision logic, the automation boundary expands — on your schedule.
"Our tech stack is custom-built — it won't integrate."
We've integrated with every shape of custom OMS. If it has an API (REST, GraphQL, webhook), we can connect to it. If it doesn't, we build a thin integration layer during the PoC. The 2–4 week timeline includes integration work — not just the AI logic.
How we start
PoC in 2–4 weeks on your real order data.
We pick one workflow — usually order management or support ticket automation — and build a working prototype against your actual OMS or support data. You get a live demo, accuracy metrics, and a fixed quote for the full build. 90% of PoCs move to production.
If the PoC doesn't demonstrate measurable ROI (time saved, tickets deflected, orders processed faster), we refund the PoC fee in full. No risk, concrete data.
Ready to automate your order operations?
30-minute call. We map your highest-volume workflow, identify the automation boundary, and scope a PoC. Most e-commerce PoCs launch within 2 weeks of the discovery call.