AI automation for e-commerce operations

Move high-volume e-commerce work faster without losing control.

Built By Agents designs custom AI workflows for e-commerce organisations where manual handling, fragmented systems and recurring exceptions consume skilled time. The method was developed inside Luxo Living, an 8-figure Australian e-commerce business.

Assess an e-commerce workflow
First-party operating experience

Built from live operational pressure.

Otto is the internal AI operating system developed at Luxo Living across voice, email, reporting, monitoring and repeatable business processes. Winston Tu reports that the combined system saves him more than 25 hours per week.

That figure is founder-reported, has not been independently audited, and is not a promise of another organisation's outcome. The useful proof is that the approach has been shaped by real queues, exceptions, integrations and management decisions.

25+

founder-reported hours saved per week across the combined system

Read the evidence boundary →
Workflow opportunities

Start where volume and friction justify the work.

Customer and order operations

Triage incoming work, retrieve approved order context, prepare permitted responses and escalate exceptions.

Email and document handling

Classify high-volume messages, extract structured data and route work to the correct queue or owner.

Operational reporting

Collect inputs, identify anomalies and produce consistent briefs for accountable decision-makers.

Monitoring and exceptions

Watch stock, delivery, service or operational conditions and surface evidence before problems compound.

Cross-system coordination

Validate information and complete approved updates across commerce, service and business systems.

Executive operating support

Turn recurring information gathering and preparation into faster, traceable management workflows.

Assessment questions

What makes an opportunity worth pursuing?

How many times does the workflow run each month?
How much handling time, waiting time and rework does it create?
Which systems, data and teams does it cross?
Where must a person retain judgment or approval?
What quality standard can be tested?
What is the operational value of a faster, more consistent result?

Bring us one expensive workflow.

Every engagement is consultation-led, custom-scoped and custom-quoted. We will assess the value case before recommending a delivery path.

Request an operational AI assessment