Case Study · Consumer E-commerce

Not a pilot.
Eighteen months in production.

A consumer e-commerce operation started with one workflow — customer service. Eleven now run on the same platform, and the client's cost to serve is down 97%.

Live in production Consumer e-commerce Eleven live workflows
18 monthsIn production
20% → 68%Resolved without a person
−97%The client's cost to serve
1 → 11Live workflows

One workflow. One in five resolved. Eleven people on the flow.

It started where the volume was — customer service. Eighteen months later the same flow resolves more than two in three without a person, and two people run it.

StartToday · month 18

Resolved without a person

20%
68%

People on the flow

11
2

The client's cost to serve

100
3

Live workflows

1
11
Production figures from the live deploymentCost to serve indexed to 100 at the startNot a projection

The first workflow proved it. Ten more followed — on the same platform.

Each new workflow joined what was already running instead of arriving as another tool. Customer-facing, commercial, back office — one platform underneath all of it.

Customer-facing
Customer service — orders, returns, exceptionsStartSearch and discoveryRecommendations and upsellsVoice interaction
Commercial
B2B sales — retailer and partner queriesMerchandising and promotionsInfluencer programsBrand operations — compliance and content
Back office
Purchase ordersFP&A — analysis and forecastingProduct image processing
One platform underneath
the rulebookthe live picturethe record

Same rulebook. Same live picture. Same record.

Routine work closes itself. Exceptions reach a person — with the case attached.

And when that person decides, the decision is captured. Once they activate it, the next case like it follows it.

Resolves
09:14ORDER A-3318 · "where is it?"
09:14carrier scan read · ETA Thu
09:14answered · closed

The routine closes without a person.

Read from the systems that hold the answer. Written back when something changes.

Escalates
09:22RETURN R-0551 · day 41 of 30
09:22refund refused · outside window
09:22→ CX lead · order, policy, history

The exception arrives with the case attached.

The order, the policy and the history travel with it. Nobody starts from a cold ticket.

Learns
09:31CX lead: damaged in transit —
09:31the window doesn't apply
09:32captured · activated by name

The decision becomes how it works.

Stored as readable text, with who decided and why. Nothing learns from an unchecked call.

Illustrative. Order numbers and times are invented; the three behaviors are live in the deployment.

We started with customer service because that's where the volume was. Eighteen months later, eleven workflows run on it and our cost to serve is down 97%. Somewhere along the way it stopped being an AI project. It's just how we operate.
Co-founder & COO · a consumer e-commerce operation

Your operation isn't theirs. The shape of the work is.

Orders, returns, promotions, purchase orders, month-end. Every e-commerce operation runs on them — which is why e-commerce is where the platform arrives most complete.

Ours · day one

It arrives knowing how e-commerce runs.

Orders, returns, refunds, promotions — and the states each one moves through — already modeled before your first workflow.

Yours · added with you

Your house rules go on top.

Your thresholds, your return window, your exceptions. Your ops lead edits them directly. No code.

In the contract

The number you want moved.

Written down before we start. If it doesn't move, we go back in at our cost.

Contract to first workflow liveFour to six weeks, in e-commerce.

We don't leave a report behind. We leave infrastructure that knows how the enterprise runs.

If your operation looks like where they started, we should talk.

The first conversation is thirty minutes about fit — not a demo, not an audit. If we're not the right answer for where you are, we'll say so.

30 minutes. A conversation about fit. References available on request.