for ecommerce.

Catalog, listings, the support inbox, returns and reviews, handled every day.

In short

PostScarcity AI builds online stores their own for the daily work of selling: clean catalog data, listings on every marketplace, the support inbox, returns, reviews and marketing. The works inside your store and your helpdesk, drafts what customers see, and sends it under rules the owner writes.

Leads analyzed by our agents

97,000+

Across 29,000 companies, with 235,000 web pages read, since January 2026.

Search clicks, AMC Defense Law

9.6x

The last 90 days against the 90 days before launch: 61,000 search impressions, and click-through up 3.8x. Google Search Console, to October 31, 2026.

Faster, on work no team could staff

∞

Reading every lead in a market by hand was never a job anyone could hire for. Now it runs every day.

The catalog

Product data is the whole store.

Every page, ad, feed and marketplace listing runs on product data. Titles, attributes, sizes, materials, images, alt text. In most stores it is half finished, because nobody has time to finish it, and every gap costs a sale or a search.

An fills the gaps. It reads the supplier sheets and your existing listings, writes complete titles and descriptions in your voice, fills the attributes each channel needs and flags anything it cannot confirm. Your merchandiser approves the batch and it goes live.

Clean data pays off everywhere at once. Filters work, so shoppers find the right size. Feeds pass, so ads keep running. Marketplace listings stop getting suppressed for a missing attribute. And answer engines have the facts they need to recommend the product. One job, done well, fixes five problems.

  • Writes and fixes product titles, descriptions and attributes from supplier data.
  • Keeps one master record and pushes changes to your store and each marketplace in its own format.
  • Watches feeds for rejected items and fixes the cause, not just the item.

The support inbox

Where is my order, answered before the second email.

Most support email is the same ten questions. Where is my order. Can I change the size. How do I return this. An reads each message, looks up the order, the tracking and the policy, and drafts the answer.

You decide which answers send on their own and which wait for a person. Anything angry, unusual or over a dollar amount you set goes to your team with the draft and the order already open. Customers get answers in minutes. Your team handles the ones that need a person.

The learns from your team's edits. When a person rewrites a draft, that change goes back into the 's instructions, in a plain text file you can read. Over a few weeks the drafts sound more like your best support rep, and more of them go out as written.

Returns and reviews

Every return and review is data. Most stores waste it.

Returns tell you which size runs small and which photo oversells. Reviews tell you what to fix and what to say in the next ad. In most stores both sit unread in two different apps.

  • Processes routine returns under your policy and routes exceptions to a person.
  • Reads every review and return reason and writes a weekly note on what keeps coming up.
  • Drafts replies to reviews in your voice for approval.
  • Flags a product page that keeps causing the same return.

Marketing

The email, the posts and the ads, every week.

A store needs a steady drumbeat: the weekly email, posts on each channel, new ad creative, seasonal pages. Small teams skip weeks. An drafts all of it from your catalog, your calendar and what is selling, in your brand's look and voice, and your team approves before anything goes out.

Answer engines

When a shopper asks an AI, your product is the answer.

More shoppers now ask an AI assistant what to buy instead of searching. Those assistants read product pages, reviews and buying guides, and they quote the ones that answer the question clearly.

An writes and maintains that content: buying guides, comparison pages, clear specs and real answers to the questions your customers ask support. It is the same work that makes your pages rank in search, done every week instead of once.

Ownership

Not another app subscription.

Your store already pays for a dozen apps. This is not one more. You own the , the app it works in and the files, and it connects to the platform, helpdesk and marketplaces you already run. It runs on whichever AI is best and moves when a better one ships.

From the work

Our researched 97,000 people for our own pipeline.

We run on our own business first. Our lead research have read 235,000 web pages to analyze more than 97,000 people across 29,000 companies since January 2026. A store's catalog and inbox are the same kind of work: high volume, clear rules, a person on the exceptions.

How a custom agent works

FAQ

The questions owners ask.

Only for the answers you approve as safe to send, like order status. Everything else is drafted and waits for a person, with the order already open.
It works with the platform, helpdesk and marketplaces you already use, through their APIs and exports. We build any missing connection as part of the ninety days.
Yes, from your supplier data and existing listings, in your voice. It flags any fact it cannot confirm instead of making one up, and your team approves each batch.
The writes and keeps current the pages those assistants quote: clear specs, buying guides and real answers to customer questions.
The support inbox or the catalog. Both are high volume and easy to measure, so the time comes back in the first month.
It is live and doing real work by day 30. Your team adopts it in month two and owns it by day 90. You hear the full price on a call before day one.
All industries Consumer packaged goods Answer engine optimization The marketing department your agent runs Who owns my AI agent?

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Every agreement is set on a call. Ninety days later, the system is yours and your team runs it.

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