AgentPing for e-commerce and retail

Enrich the catalog
without the surprise bill.

AI writes product copy, enriches attributes and answers shoppers across catalogs with millions of SKUs. AgentPing shows the cost behind that volume, scores the copy before it hits the storefront, and pages you when an overnight catalog job fails, so AI in retail does not run on trust alone.

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

What retail teams need to watch.

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

Cost per catalog and SKU

Attribute enrichment spend to the catalog, 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 catalog jobs

Know when an enrichment run stalls or fails before merchandising opens a half-updated catalog 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 catalog enrichment cost per SKU?
AgentPing prices every run server-side and attributes it to the catalog, category and SKU that spent it. Across a large catalog 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 catalog.
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 catalog are expensive to keep fresh and which AI features earn their keep.

Keep AI catalog 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 →