The catalogue grows faster than the team describing it
AI earns its keep in ecommerce in four places: product copy produced at catalogue scale from your own product data, a customer service inbox that sorts itself before anyone types, review responses drafted for a human to approve, and campaigns driven by what is in stock rather than what was planned a month ago. We build that plumbing around the platform you already run.
Rather build it yourself? We will show you where to start, free.
What we would build
- 01Product content engine
- 02Inbox triage before anyone types
- 03Reviews and stock-aware campaigns
Where the week goes
Every order is small. The admin wrapped around them is not.
Product copy at catalogue scale
Every SKU needs a title, a description and specs, in your voice, per channel. Under deadline it gets pasted from the supplier feed, which is exactly what every other stockist of the same product did. Identical listings compete on price alone.
The customer service inbox
Where is my order, can I return this, does it fit. Most of it is answerable from data you already hold, but it sits in one queue with the genuine complaints, and the team works it in arrival order while the urgent ones wait.
Reviews answered late or never
A review response is read by the next hundred buyers, not the reviewer. Nobody owns the job, so the praise goes unthanked and the one-star sits unanswered on the listing for a month, doing damage daily.
Marketing detached from stock
The email features the product that sold out on Tuesday. Paid ads push an item with three units left while the overstock sits unmarketed. The campaign calendar and the stock system have never met.
What we would build
What we would build for your store
Three systems. The machine does the describing, the sorting and the drafting. Your team approves, handles the genuine problems and decides what to sell.
Product content engine
Structured product data in, distinct copy out, in your voice, for every channel.
- Copy is generated from your structured product data: specs, materials, fit notes, supplier feeds, your brand rules. Not pasted supplier text, so your listings stop being word-for-word identical to every competitor’s.
- One product record fans out to the storefront, marketplaces and feeds in the right format for each.
- A person spot-checks each batch rather than writing each SKU. The review takes minutes; the writing used to take the week.
- New SKUs get copy the day they land, not whenever the backlog clears.
Inbox triage before anyone types
Classification before generation. The queue sorts itself, then drafts answer the routine half.
- Every inbound email is classified on arrival: order status, returns, sizing, complaints, everything else.
- Routine queries get a reply drafted from real order data, ready for one-click approval. The answer is right because it is read from the system, not remembered.
- Complaints and anything unusual route to a person immediately, with the order history attached, ahead of the routine queue instead of buried in it.
- Nothing about refunds, chargebacks or goodwill is decided by a machine. Drafted, sometimes. Decided, never.
Reviews and stock-aware campaigns
Review responses drafted for approval, and marketing that reads the stock system before it speaks.
- Every review gets a drafted response built from the actual order and the actual words of the review, approved by a person before it posts.
- The one-star gets answered within hours, calmly, which is mostly what the next hundred readers are checking for.
- Campaigns read stock levels: sold-out items drop out of emails and ads automatically, and overstock surfaces as the next promotion candidate.
- We never write fake reviews or buy them. Responses and honest asking are the whole playbook.
Do it yourself
You could build this yourselves. Here is how to start.
The inbox and the catalogue are both fixable in stages with the platform you already run. Classify before you generate, structure before you write.
The guides are free and they do not hold anything back. If you get partway and want it finished fast, or built properly first time, that is the other reason this page exists.
How the free route works- 01Classify one day of inbox traffic by hand: order status, returns, sizing, complaints. The split tells you what to automate first.
- 02Structure your product data before generating a word of copy: specs, materials, fit notes, brand rules. Distinct inputs are what make distinct listings.
- 03Draft replies for your top three routine queries from real order data, and have the team approve instead of type.
- 04Answer the oldest unanswered one-star review today, calmly. The next hundred buyers read it before they read anything you wrote.
- 05Make the campaign calendar read stock levels before anything sends. A sold-out hero product is a self-inflicted problem.
Straight answers
Questions we get from this industry
- Will AI product copy hurt our search rankings?
- The thing that hurts rankings is thin, duplicated copy, and most catalogues are already full of it because the descriptions came straight from the supplier feed, the same as every other stockist. Copy generated from your own structured product data is distinct because the inputs are, and a person reviews each batch before it publishes. Distinct and useful beats pasted, whoever typed it.
- Can AI answer customer emails on its own?
- The routine half, nearly: drafted from real order data and approved in one click, because the answer is read from your systems rather than composed. Complaints, refunds and anything ambiguous route to a person with the full history attached. Classification before generation is the rule, and it is what makes the difference between automation and a liability.
- We are on Shopify. Does this mean replatforming?
- No, and the same answer applies to WooCommerce, BigCommerce or a marketplace-first setup. We build the systems around your platform: product data flows out to the content engine, orders flow into the inbox triage, stock levels flow into the campaigns. The store stays where it is.
- Are AI-drafted review responses not a bit insincere?
- The insincere version is the one you have now: the pasted template, or the silence. Each draft is built from the specific order and the specific review, and a person approves it before it posts. What changes is that it happens within hours instead of never. And to be plain: responding to reviews honestly, yes; faking reviews, never.
- Where should a store start?
- Usually the inbox, because the saving shows up within days and the classification plumbing gets reused by everything else. Product content comes first instead if catalogue growth is the bottleneck, which you will know, because the unwritten SKUs are sitting there not selling.
Show us the catalogue and the inbox
Thirty minutes, no pitch deck. Bring your SKU count and your unread count, and we will tell you which machine pays back first. If neither would, we will say so.
Or email dc@operosus.com and tell us what is eating your week.