The AI Assistant thatcloses the sale

Vendio brings the conversational experience that shoppers now expect onto your own domain, grounded in your product data, your tone, your commercial logic. It doesn’t just chat. It guides, compares, and adds to cart inside the conversation.

Vendio

An Agent, not a chatbot. The difference shows up in your conversion rate.

Chatbots match keywords to canned answers. The moment a shopper goes off-script, which is most of the time, they hit a dead end and leave.

Vendio reasons over your catalogue like your best in-store associate: it understands what the shopper needs, weighs the options, and recommends the right product, then adds it to the basket inside the chat.

For the retailer, that’s the difference between a chat widget that costs money and a sales channel that earns it.

Experience a live shopper journey
Vendio · Product Expert

Every unanswered
question is a reason to leave.

The friction your shoppers feel today isn’t a UX problem. It’s a guidance problem.

Generic chat that doesn't know your products

Off-the-shelf bots are trained on the open web, not your catalogue. They give vague answers, hallucinate specs, and frustrate shoppers who are ready to buy. A generic bot is the most expensive way to lose customers.

The wait gap you can't afford

0%expect immediate responseHubSpot, 2024

When the bot can't help, the shopper waits: for an agent, an email reply, tomorrow. By the time you respond, the purchase decision has already happened, often on a competitor's site.

Choice paralysis in a deep catalogue

The bigger your range, the worse the problem. Shoppers who know what they need but aren't sure what to buy, get lost in filters and bounce.

The problem with AI research before they hit your site

Shoppers research inside ChatGPT, Perplexity and Gemini before they ever land on your site. Without a conversational layer of your own, you're not in that conversation, and external AI may send them to the lowest-price option, not to you.

Don't let premium purchases leave your site

0%premium purchases in-storeForbes, 2024

Without a guided experience online, your high-margin sales are lost to someone else's physical store.

Agentic AI that masters your catalogue and steers every shopper to the right SKU.

Vendio is built on three connected pillars: product intelligence, conversational selling and retailer control.

Pillar · 01

It understands your products.

Grounded in your data. Reasons like an in-store expert.

Knowledge drawn from your catalogue, not the open web

Connects via API or feed and indexes through RAG over Typesense, Elasticsearch or SQL. Every answer is sourced from your specs, pricing, and your stock, not a model's best guess.

Retail reasoning, not keyword matching

When a shopper asks for "a gift for a friend who just moved out," Vendio reasons who the friend is, the budget, the right category, just like a human associate would.

Expert mode for category depth

E.g., stand up a 'Coffee Expert,' a 'Footwear Advisor' or a 'Tech Concierge'. Each is tuned to that category's questions and comparison criteria.

Pillar · 02

It drives the sale.

Closes inside the conversation. No redirect, no momentum lost.

Zero-wait conversion

Instant answers, 24/7, no human hand-off. From question to confident decision inside one conversation.

In-chat transactions

Product cards, live availability and add-to-basket all happen inside the chat window. The shopper never breaks flow, which is the single biggest reason for conversion uplift in pilots.

Active upsell & cross-sell

Identifies adjacency in real time, i.e., accessories, consumables, warranties, the next size up, and surfaced at the moment of intent.

Pillar · 03

It stays under your control.

Your brand. Your data. Your guardrails.

Total authority over the conversation

Every answer stays on your domain, in your brand voice, sourced from your data. Shoppers don't bounce to Google.

Confident comparisons

Side-by-side specs, pros and cons and 'best for' framing, all from your catalogue in plain language. Choice paralysis changes to a confident buy.

Guardrails that actually hold

Configurable allow/deny patterns, brand-tone enforcement, PII redaction, and a runtime evaluation framework that scores every response.

How it Works

01

Connect the data

Point Vendio at your catalogue, specs, FAQs and buying guides. Plus, API or file feeds, native pairings with Typesense, Elasticsearch and SQL. No rip-and-replace, no migration. Vendio reads directly from your existing product data, so it stays where it is.

CATALOGUESPECS · FAQSTYPESENSESQL · ELASTICVendio
02

Configure journeys

Most retailers go from connected catalogue to a configured pilot in two to four weeks. Toggle on the experiences you want: conversational search, comparison, advisor guides or category experts. Then simply apply your theme through a configuration panel, not a custom engineering project.

Conversational search
Side-by-side comparison
Advisor guides
Category experts
Theme
03

Launch and learn

Every pilot includes a 4-week evaluation window with a success metric agreed up front. You can embed Vendio as a floating widget, sidebar, or a full-page experience. Watch conversations come in, refine prompts, and measure conversion uplift against your control.

+0%▲
CONVERSION (ENGAGED)
“under $1,000 with grinder”1,204
“gift for a friend”988
“good for standing all day”742

Vendio Features

Conversational Product Search

What
Natural-language product discovery, grounded in your catalogue.
Why
Most shoppers don't know the right keywords. They know what they need, not what it's called. Traditional site search punishes them for that; Vendio rewards them.
How
Vector embeddings for semantic intent + keyword and facet search for spec precision. Hybrid retrieval: fast, accurate, forgiving of vague queries. Answers generated only from your indexed data.
Find me the right size

The Vendio command bar, suggestion chips adapt to category, time of day, and shopper history.

Guided Buying Journeys

What
Step-by-step advisor flows that mirror the questions a human sales associate would ask.
Why
Some purchases are too important for a single search and benefit from a guided conversation like premium goods, technical categories and gifts.
How
Configure decision trees per category: entry-level vs premium, gift vs personal, beginner vs enthusiast. Plus multiple-choice prompts, price sliders, feature toggles and free-text where it matters. Benefit: each answer narrows the recommendation in real time.
Vendio

Welcome drawer for a footwear retailer, entry points configured per category.

In-Chat Purchase Flow

What
Add to basket, view live stock and price, and proceed to checkout, without leaving the conversation.
Why
Every redirect is a cliff. Every 'click here to view product' loses a percentage of intent. The fewer pages between "I want this" and "I bought this," the higher your conversion.
How
Vendio renders product cards directly in the chat thread with live data pulled from your commerce platform: image, title, price, stock status, key specs, add-to-basket action. The basket state syncs back to your storefront.
Vendio

In-chat product card with live stock, price strike-through, and direct add-to-cart.

Expert Mode Assistants

What
Category-specific agents tuned to the technical depth of niche shoppers.
Why
A coffee enthusiast asking about pressure profiling and pre-infusion is not the same shopper as someone buying their first espresso machine. Generic AI flattens both; Expert Mode keeps depth where it matters.
How
Configure named 'experts' per category, with their own knowledge base, vocabulary and recommended-question prompts, e.g., 'Coffee Expert,' 'Audio Advisor,' 'Outdoor Specialist'. Vendio routes shoppers to 'experts' by intent or they can choose them directly.
Vendio

A category expert grounded in the catalogue, not the open web.

Personalised Recommendations

What
Recommendations based on stated preferences, browsing context and conversation history, not just collaborative filtering.
Why
"People who bought this also bought" is a 1998 algorithm. It misses intent. Vendio recommends based on what the shopper has told you in the conversation, a far richer signal than what other shoppers happened to click.
How
Vendio carries context across the conversation: stated budget, must-have features, dealbreakers, recipient (if gift), and use case. Recommendations are generated against that live preference set, with explanations attached to each suggestion.
Vendio

Recommendations updated mid-conversation as constraints come into view.

Own the next decade of ecommerce

The conversational layer of retail is being built right now. The retailers who move fast won’t just add another channel, they’ll shape how shoppers discover, compare and buy.

Three things have changed at once. AI is now ready for real sales conversations. Shoppers are already researching purchases inside ChatGPT, Perplexity and Gemini. And external AI platforms are starting to recommend products directly, moving more of the customer journey outside the retailer’s control.

Retailers that add a conversational layer now can keep the journey on their domain, with their data and in their voice. Those that don’t risk being compared on someone else’s AI surface, where price can outrank experience, expertise and brand. The window to lead this shift is narrow. Vendio is built for retailers who want to be on the right side of it.

0%
of consumers buy based on experience alone, experience is the new differentiator.
Invoca, 2024
0%
of premium purchases still happen in-store, proof that shoppers want guidance.
Forbes, 2024
0%
of shoppers prefer self-service, but only 14% ever get resolution.
Salesforce & Gartner, 2024
0%
of consumers expect an immediate response, 24/7.
HubSpot, 2024
Get ahead of the shift, book a strategy call

Vendio fits the stack you already run.

You don’t need to re-platform to adopt Vendio. We connect to the commerce, content, search and analytics tools you already use, via SDK or REST API. Most pilots go live between 2 to 4 weeks.

Commerce

ShopifyBigCommerceCustom storefronts via REST

Search & Discovery

TypesenseElasticsearchAlgoliaSQL-backed catalogues

Content & PIM

Adobe Experience ManagerContentfulCustom PIMs via API

Analytics

Google Analytics 4SegmentYour existing event pipeline
PlusSalesforceMagento

Don’t see your stack?We’ve integrated with over 100 enterprise platforms across Vervio’s decade of work. Talk to us about your specific environment.

Security shaped by a decade of enterprise delivery.

Every conversation, every data flow and every model interaction is designed with security and compliance in mind.

Identity & access

SSO via SAML and OIDC. RBAC for admins, configurators, viewers. Audit logs on every configuration change.

Data protection

Encryption at rest and in transit. PII redaction inbound and outbound. Data residency in AU, EU and US.

Deployment flexibility

On-prem and VPC connectors for sensitive sources. Configurable guardrails. Optional bring-your-own-model.

Does our data train your models? No.

Your catalogue, conversations and shoppers’ inputs are never used to train third-party foundation models or shared across customers. DPAs aligned to GDPR, CCPA and the Australian Privacy Principles.

Straightforward packages while we’re in Early Access.

Three tiers built around where you are on the conversational AI journey. Custom enterprise terms available.

Starter

For retailers piloting conversational AI on a focused category.

  • ✓AI shopping assistant
  • ✓Product recommendations
  • ✓Product Q&A grounded in your catalogue
  • ✓Guided selling journeys (standard templates)
  • ✓Product comparison
  • ✓Seamless integration on your site
  • ✓Standard analytics dashboard

Growth

For retailers ready to deploy across catalogue and report on uplift.

  • ✓Everything in Starter, plus:
  • ✓Personalised guided selling journeys
  • ✓Advanced branding controls
  • ✓Conversion and revenue reporting
  • ✓Agentic cart management
  • ✓Merchandising controls
  • ✓Expert Mode assistants (up to 3)
  • ✓Priority support

Enterprise

For retailers with security, scale or stack requirements that need custom terms.

  • ✓Everything in Growth, plus:
  • ✓Single sign-on (SAML / OIDC)
  • ✓Data residency: AU, EU or US
  • ✓Custom guardrails and brand-safety
  • ✓On-prem or VPC deployment
  • ✓Dedicated solutions engineer
  • ✓Quarterly business reviews
  • ✓Custom SLAs

VendioDesigned for Retail.
AI Native, Naturally.

Australian. 10 years deep in e-commerce.
The Vervio team, builders of Vendio

Depth of technical ecommerce expertise applied to AI

For over a decade, Vervio has built and shipped enterprise platforms for some of Australia’s largest retailers, financial services firms and consumer brands,500+ projects in production, across commerce, content, search, identity and analytics. We’ve integrated every stack you can name, and a few you can’t. We know what breaks in production, what enterprise security teams ask for, and what it takes to deploy AI on top of real catalogues with real shoppers.

Vendio is our first owned product. It exists because we saw, earlier than most, that conversational AI was about to reshape how shoppers buy, and that retailers needed a product built by people who understood retail engineering at depth, not a generic AI tool with a Shopify plug-in.

We’re based in Sydney. We work with retailers globally.

Learn more about Vervio

Questions
answered.

Generic chatbots match keywords to scripted answers; they break the moment a shopper goes off-script. ChatGPT-in-a-widget knows the open web but not your products, which means it hallucinates specs, gets pricing wrong and recommends competitors. Vendio is grounded exclusively in your catalogue via RAG (retrieval-augmented generation), reasons across the conversation rather than answering question by question, and acts on the shopper’s intent, adding items to basket, surfacing comparisons, escalating where needed. It behaves like an expert sales associate, not a search box.
Native search is good at exact matches. It struggles when shoppers describe a need rather than a product, “a coffee machine with a grinder under $1,000,” “supportive walking shoes that still look professional.” Vendio handles those queries through semantic understanding, then layers on guided conversation, comparison, and in-chat purchase. It complements your existing search; it doesn’t replace it.
At minimum: your product catalogue (titles, descriptions, specs, prices, images, stock), your FAQs and buying guides, and your brand voice guidelines. We connect via API or file feed, no migration, no re-platforming. Your data is processed and stored in your chosen region (Australia, EU or US), encrypted at rest and in transit, and never used to train third-party foundation models or shared across customers.
Almost certainly yes. We integrate natively with Shopify, BigCommerce, Adobe Experience Manager, Contentful, Typesense, Elasticsearch, GA4 and Segment, and we connect to anything else via REST APIs. Vervio has integrated over a hundred enterprise platforms in our agency work; if you can describe your stack, we can tell you how Vendio fits in 30 minutes.
Three layers. First, every response is grounded in your indexed catalogue, Vendio can’t answer about products it hasn’t seen. Second, configurable guardrails block off-topic conversations and enforce brand tone. Third, a runtime evaluation framework scores every response for relevance, accuracy and grounding, with low-scoring conversations flagged for review. You see what Vendio is saying to your shoppers, and you can correct course in days, not months.
No. Your catalogue, your conversations and your shoppers’ inputs stay yours. We don’t use customer data to train third-party foundation models, we don’t share data across customers, and we sign DPAs aligned to GDPR, CCPA and the Australian Privacy Principles. Conversation data is retained only as long as you need it for analytics; retention windows are configurable.
Most pilots go from kickoff to live widget in under four weeks. Stage 1 is catalogue connection and configuration (week 1–2). Stage 2 is sandbox testing with your team (week 2–3). Stage 3 is a limited live pilot on selected pages, with conversion tracked against control (week 3–4). Enterprise rollouts with SSO, custom guardrails and data residency take longer, typically 8–12 weeks, but the core experience is live within the same four-week window.
We agree the success metric with you before kickoff, usually one of: conversion rate uplift on engaged shoppers, average order value, CX ticket deflection, or time-to-purchase. Early pilots have shown measurable lift on each, with the strongest results in categories where shopper guidance matters most (premium goods, technical products, gifting). We share weekly conversation reviews and a full read-out at the end of the pilot.
Three tiers, Starter, Growth and Enterprise, with custom terms available. Pricing is based on the depth of features (which experiences you enable), not per-conversation, so you’re never penalised for engagement. Our first 10 customers get founding-customer pricing as part of the Early Access Program.
You do. The conversations between Vendio and your shoppers belong to your business, are stored in your chosen data region, and are accessible to your team through the Vendio dashboard. We process data on your behalf as a sub-processor under your privacy policy and DPA.

See Vendio on your own catalogue.

A 30-minute working session: we connect Vendio to a slice of your product data and walk through real shopper journeys, live. No slides.