Cervito turns browsing into assisted buying. Sarah greets, compares, bundles, hands off, and shows the revenue she helped win.
Prefer email? Request an invite
Pour-over essentials, picked for your brew style.
Real product pages, live prices, and reasons the shopper can trust.
Yirgacheffe
€19
V60 Dripper
€24
Gooseneck
€64
Sarah
OnlineNorthbrook Coffee Co.
Illustrative: the Northbrook Coffee Co. demo store
A chatbot answers FAQs. Cervito is a named associate you train: she greets, sells, and escalates only when she should.
Grounded in your real products, photos, and policies. She never invents a SKU, never promises free shipping you don’t offer, never quotes a price she hasn’t verified in your live catalog.
Illustrative: the Northbrook Coffee Co. demo store
Every conversation that converts becomes a coaching note for the next shift. No quarterly retraining, no onboarding from scratch each season.
“Shoppers who mention pour-over convert on the starter set.”
Refunds, custom orders, anyone genuinely upset: she escalates clean. Your team picks up mid-conversation with full context.
This one needs a human — I’m bringing in the team.
The production widget on our demo store, Northbrook Coffee Co.. The same Sarah your visitors would meet. Recommend, compare, bundle.
Recommend
Sarah
Online
Yirgacheffe€19.00 AddCompare
Yirgacheffe
€19.00
Sumatra
€18.00
AI pick: black coffee, pour-over? The Yirgacheffe wins.
Bundle
Sarah
Online
Pour-over starter set
€45
V60 · Gooseneck kettle · Filters
Illustrative: the Northbrook Coffee Co. demo store
Two demo storefronts, two very different catalogs. The same associate. Open one and ask her anything. This is the live product, not a recording.
She greets browsers before they bounce, compares two options with a clear pick, handles the “is €19 too much?” objection, and pulls a bundle at checkout, by text or voice, in 44 languages.
Sarah
OnlineNorthbrook Coffee Co.
Something fruity for my morning V60 — Yirgacheffe or Sumatra?
Side-by-side · 2 of your roasts
Yirgacheffe
€19.00
Sumatra
€18.00
AI reason
For a fruity morning pour-over the Yirgacheffe wins. Go Sumatra if you ever switch to milk drinks.
Illustrative: the Northbrook Coffee Co. demo store
Five attribution models side by side, a cross-session bridge that ties a phone visit to a desktop purchase, and the number that matters: conversion lift against a hidden control that never sees the widget. Causal, not correlation.
vs. a hidden control cohort — causal, not last-click credit.
Sarah's shift
northbrook-coffee.com · last 30 days
Revenue influenced
€12,840
+18.2%
Carts saved
214
+24%
AOV with Sarah
€94.50
+11.6%
The control cohort never sees the widget.
Multi-touch attribution · 5 models
Only the active model credits revenue.
Illustrative: the Northbrook Coffee Co. demo store
Sarah's coaching notes
auto-applied each shift
You → Sarah
“Push the cold-brew kit this week: it’s overstocked.”
Sarah → You
“14 chats, 6 add-to-carts. Gift shoppers keep asking for decaf.”
For espresso newcomers, default to the medium roast: the light reads sour on their first pull.
Don’t quote roast-to-ship past 3 days: we roast to order, so route timing questions to a person.
For gift shoppers, lead with the boxed sampler: it includes the printed brew card.
“Should I offer the sampler to gift-shoppers under €60?”
Illustrative: the Northbrook Coffee Co. demo store
Thumb up the conversations that closed, thumb down the ones that didn't. She proposes the coaching note in plain English — you edit, accept, or reject.
You rate
the ones that closed, the ones that didn’t
She drafts
the coaching note, in plain English
You decide
edit, accept, or reject
Accepted notes inject into every future shift. No prompt engineering required.
Plus a daily debrief in your inbox and a weekly retro that highlights the patterns worth coaching next. Notes stay tenant-scoped, never cross-shop.
Not a single answer. She opens conversations, builds baskets, talks and listens, and hands off cleanly. The whole shift.
After your demo, it’s one-click OAuth from your store. She reads your products, collections, and any policies you add. No theme edits, no developer required.
time_to_install ≈ 90s
Pick a name. Write three coaching notes about what you sell and how you sell it. Her first shift is already on-brand.
coaching_notes ≥ 3
Live conversations, multi-touch attribution, daily debriefs in your inbox. You’ll know exactly which carts she saved, and what to coach next shift.
shifts_per_week = 7
A generic widget is cheap and answers FAQs. A retail team is expensive and slow to scale. Cervito matches the human column on the things that move carts.
| Capability | Cervito | Generic widgetanswers FAQs | Hire a teamknows the floor |
|---|---|---|---|
| On your storefront 24/7, every timezone | Yes | Yes | No |
| Knows your real catalog cold | Yes | No | Yes |
| Speaks 44 languages on day one | Yes | partial | partial |
| Refuses to invent a SKU or fake price | Yes | No | Yes |
| Greets, recommends, handles objections | Yes | No | Yes |
| Remembers what worked last week | Yes | No | partial |
| Hand-off with full context to your team | Yes | No | Yes |
| Multi-touch attribution back to revenue | Yes | No | No |
Cervito: yes in 8 of 8 rows · the human team matches on 4
Book a demoDrop one script tag on any store, or flip her on from Shopify’s App embeds panel. No theme edits, no developer required. She reads your catalog and starts her first shift in minutes.
<script async src="https://app.cervito.io/widget.min.js" data-shop-key="YOUR_SHOP_KEY"></script>Not the marketing FAQ. The real ones: about training, handoff, mistakes, data, and what happens when something goes sideways.
Still weighing something?
Write to [email protected] — the founder reads every note.
A chatbot answers FAQs. Cervito is a named associate: she has a name and a personality you train, she remembers what worked last shift, and she sells. She greets, recommends, handles objections, and escalates to your team only when she should. You’re hiring her, not configuring an FAQ tree.
She’s built to refuse rather than invent. If a SKU isn’t in your catalog, she says so. If a policy question is fuzzy, she offers a handoff with the full conversation context. Your human picks up where she left off, never from scratch.
After every shift, thumb up the conversations that closed and thumb down the ones that didn’t. She proposes a coaching note in plain English (“don’t push the bundle to gift-shoppers”). You edit, accept, or reject. Accepted notes inject into every future conversation. No prompt engineering required.
Under 90 KB gzipped, loaded async, isolated in Shadow DOM so it can’t fight your theme styles. Sub-50ms TBT impact and zero LCP delay on a typical storefront.
The quickest way is to book a 30-minute demo with the founder (a Google Meet call) from any “Book a demo” button. Cervito is in private rollout: we onboard you personally and you’re usually live within 24 hours. We’re intentionally not listed on the public App Store; we want to onboard merchants we can support well. Prefer email? Write to [email protected] with your store domain.
Conversations live in your tenant only: no cross-tenant sharing, no shared model training on your data. Visitor PII is redacted before it reaches the model; merchant API credentials are encrypted at rest with AES-256-GCM. All three mandatory Shopify GDPR webhooks (data request, customer redact, shop redact) are honored within Shopify’s stated timelines. Sub-processor list at /legal/dpa.
Automatically: when a visitor explicitly asks, when her confidence on a non-product question drops below threshold, or when a topic matches your configured handoff rules (“refund,” “complaint,” whatever you flag). Your team picks up with the cart, the catalog she pulled, and the full transcript.
Anonymous sessions are pruned after 90 days. Identified sessions (where a visitor checked out or was recognized) are kept for 365 days. Aggregate analytics (intent counts, conversion lift, attribution) are retained indefinitely in anonymized form.
I greet every shopper the second they land, know your catalog cold, and bring in your team the moment it matters, every shift.
Book a 30-minute demo with the founder over Google Meet and watch Sarah work your own catalog. We onboard you personally, usually live within 24 hours. Prefer email? Request an invite.
Private rollout · one-click uninstall if it doesn’t earn its keep