AgentPing for e-commerce and retail

Your catalogue regenerated overnight.
Nobody asked it to.

A supplier feed changes format, the pipeline treats every product as new, and AI rewrites the whole catalogue while you sleep. Nothing failed, so nothing alerted. AgentPing shows the cost behind that volume as it happens, scores the copy before it reaches the storefront, and pages you when an overnight job does something it was not meant to.

Track your first AI workflow
spend · this month↑ on budget
$5,382
spent
$0.094
cost / successful run
content-writer$2,189
research-agent$1,474
support-triage$685
email-classifier$262

Three ways catalogue AI gets expensive quietly.

01

Cost per SKU, times the catalogue

Fractions of a penny, multiplied by six figures.

→Per-item generation looks free until you run it across the whole catalogue, and again on every re-import. The unit cost never looks alarming, which is precisely why nobody checks it against the total.

02

The re-run nobody meant to trigger

A supplier feed changed, so everything regenerated.

→A field format shifts upstream, the pipeline treats every product as new, and the catalogue is rewritten from scratch overnight. Same code, same schedule, several times the bill, and no alert because nothing failed.

03

Bad copy on the live site

Generated descriptions degraded, and they are public.

→Unlike an internal tool, a quality regression here is customer-facing and indexed. By the time a merchandiser spots the pattern, thousands of pages carry it and correcting them is another full pass over the catalogue.

What retail teams need to watch.

Cost compounds across the catalogue, wrong copy reaches shoppers, and overnight jobs fail in the dark. One run record per item carries all three.

Cost per catalogue and SKU

Attribute enrichment spend to the catalogue, category and SKU, so a million-product re-run has a number you can plan for.

spend · this month↑ on budget
$5,382
spent
$0.094
cost / successful run
content-writer$2,189
research-agent$1,474
support-triage$685
email-classifier$262

Explore Spend →

Product copy quality

Check generated descriptions for required attributes, invented specs and tone before they go live on the storefront.

summariser · judge score↓ 4.2 to 3.8
  • cites a source pass
  • answers the question pass
  • stays on policy fail

Explore Verify →

Overnight catalogue jobs

Know when an enrichment run stalls or fails before merchandising opens a half-updated catalogue in the morning.

support-triage · schedulelive
support-triage missed its 14:00 run paged on-call · last ok 13:00 · 247 runs clean before

Explore Pulse →

What does AI catalogue enrichment cost per SKU?
AgentPing prices every run server-side and attributes it to the catalogue, category and SKU that spent it. Across a large catalogue the cost compounds quietly; you see cost per SKU and per run, so a re-enrichment job over a million products has a number before the invoice does.
How do we catch wrong or hallucinated product copy?
Score generated descriptions against checks and a rubric: required attributes present, no invented specs, on-brand tone, length bounds. A successful run can still produce copy that is wrong; quality scoring is what flags it before it goes live on the storefront.
Our enrichment runs overnight. How do we know it finished?
Give the job an expected schedule. If the overnight run stalls, fails halfway or never starts, Pulse raises an incident and pages you, so you find out before merchandising does at 9am with a half-updated catalogue.
Can we see cost by category or storefront?
Yes. Tag runs by category, brand or storefront and AgentPing rolls cost and quality up that way, so you can tell which parts of the catalogue are expensive to keep fresh and which AI features earn their keep.

Keep AI catalogue work cheap, correct and on time.

Track one enrichment job and see cost per SKU, the quality of the copy, and whether last night's run finished, within minutes.

Track your first AI workflow

For customer support → For sales and RevOps → All features →