AI automation for ecommerce operations

Automate the busywork. Keep most of what it saves.

We build the workflows that remove recurring manual work from your store: support triage, order and inventory sync, returns, reporting, invoicing, ad research, and the handoffs between your tools.

200+ecommerce projects since 2009
30 daysfirst automation live, or you do not pay for it
70%of documented savings stays with you from day one

The work we remove

Where ecommerce teams lose hours every week

The best automations are not abstract AI demos. They are recurring tasks with a clear before and after: who does the work, how often, how long it takes, and what it costs.

Support triageRepeated order-status, return, shipping, and policy tickets read and routed by hand.
Order handoffsShopify, Amazon, 3PL, ERP, and spreadsheets kept aligned through copy-paste.
Returns and RMAsApproval checks, labels, status updates, and customer replies rebuilt one by one.
Inventory checksStock levels, reorder points, and channel mismatches reconciled manually.
Weekly reportsThe same KPI summaries and leadership reports assembled from scratch.
InvoicingHours, retainers, packages, and client reports turned into drafts late in the month.
Ad researchCompetitor ads, landing pages, angles, and creative briefs tracked by analysts.
Feed cleanupMerchant Center gaps that quietly suppress visibility and block product approvals.

Built, not theorized

We run real internal systems before selling the pattern

These screenshots are capability proof: production tools we use or built to make ecommerce work more measurable, repeatable, and less dependent on manual follow-up.

Byteout Ad System competitor ad analysis screen
Byteout Ad System Tracks competitor ads, analyzes landing pages, tags creative, and drafts strategic briefs. The current internal estimate is 10+ marketing hours saved per week.
Merchant Feed Optimizer visibility report
Merchant Feed Optimizer A concrete front-door audit: visibility gaps, product risks, and prioritized fixes for Google Merchant feeds.
Bloggen entity profile screen
Bloggen Our multi-brand AI content engine in production. Useful proof that Byteout can operate AI systems beyond prototypes.
Byteout Spine pipeline screen
Byteout Spine Internal operating system for pipeline, finance, and delivery data. The invoicing and reporting automation belongs here next.

The engagement ladder

Start small, prove value, then scale what works

Each step produces something useful on its own. You only move forward once the economics and the workflow are clear.

Intro and scoping

$300 - 2 hours

We map your highest-friction workflows, identify the first automation candidates, and estimate the likely savings range.

Automation audit

$1,500

We document how the process runs today, where the data lives, what can be automated, and the conservative savings number.

Build and prove

30% of savings - 6 months

We build the highest-value workflow end to end, measure the after-state, and bill from the agreed savings it creates.

Scale and run

Share + upkeep

We extend the automation layer across operations and maintain it as APIs, tools, and business rules change.

Pricing model

You pay from documented savings, not a speculative project invoice

The audit creates the baseline. If the process does not save measurable time or money, it is not a savings-share automation.

The $1,500 audit is credited toward the $1,500 build deposit, so the first meaningful commitment is one payment to get the automation started.

How the split works

You keep 70%
Byteout 30%
Baseline: hours saved per month x fully loaded hourly cost.
Billing: 30% of agreed savings, billed monthly for 6 months.
Ownership: after 6 months, the automation is yours. Maintenance is optional.

First build candidates

Concrete automations we can start with

The audit chooses the first workflow by payback, not novelty. These are the common places where the economics usually work.

Lead internal proof

Invoicing and client reporting

Turn hours, retainers, package terms, and finance data into draft invoices and client reports, with human review before anything sends.

Ops

Order and inventory sync

Move orders, stock changes, fulfillment status, and exceptions between Shopify, Amazon, 3PL, ERP, and spreadsheets.

Support

Ticket triage and reply drafts

Classify tickets, pull order context, route exceptions, and draft replies for repeat customer questions.

Returns

RMA workflow automation

Check eligibility, create labels, update customers, and surface the cases that still need a human decision.

Reporting

Weekly KPI dashboards

Assemble the same channel, product, margin, support, and inventory reports on schedule without the manual rebuild.

Marketing ops

Competitor ad intelligence

Track active ads, detect likely winners, analyze landing pages, and draft briefs so marketing research stops eating the week.

Byteout Ad System dashboard with active competitor ad winners

The standard

Automation should end in a working operating surface

For ecommerce teams, the handoff matters as much as the model. The best system is not just an API connection or a hidden script. It gives your team a clear place to review, approve, monitor, and trust the workflow.

Human approval stays in the loop where money, customers, or brand voice are involved.
Exceptions are visible instead of buried in Slack threads or failed Zap runs.
Every automation has a measurable baseline and a maintenance owner.

Risk reversal

Your first automation is live within 30 days, or you do not pay for it.

We are a development team, not a slideware automation shop. If the first workflow cannot be delivered, measured, and put into use, the offer has not earned your money.

Start here

Book the scoping session

Two focused hours to map the recurring manual work in your ecommerce operations, estimate what it is worth, and define the first automation we would build.