How Zipchat works for ecommerce

Connect your Shopify store or paste one script. Zipchat reads your product catalog, policies, and help pages. Your AI agent goes live across website chat, WhatsApp, Instagram, Messenger, and email in 20 minutes. No coding required.

7-day free trial · 30-day money-back guarantee

Your store

Catalog, policies, blog, PDFs, order data

Zipchat AI

Knowledge base + retrieval + reasoning

Every channel

Web chat, WhatsApp, Instagram, Messenger, Email

4.7/5 Shopify App Store 4.8/5 on G2 2.65M+ conversations handled 16.4% avg chat-to-sale ratio
Trusted by 1,000+ ecommerce brands
Ak Informatica
B-exit
Bau
Caleffi
Campark
CFS
Eprice
Hike
Jackery
lesac
Liforme
Lilly
Nuvio
Police
Shelly
Supermedia
Tropicfeel
Ak Informatica
B-exit
Bau
Caleffi
Campark
CFS
Eprice
Hike
Jackery
lesac
Liforme
Lilly
Nuvio
Police
Shelly
Supermedia
Tropicfeel
How it works

From install to first sale in four steps

There is no manual training. No scripting. No cold-start period. Zipchat reads your store and starts working from day one. Here is the exact sequence.

Shopify
Connect Connected
WooCommerce
Connect
Magento
Connect
Wix
Connect
Any other
Connect

Step 1

One-click on Shopify, one snippet anywhere else

Shopify stores install from the App Store and enable Zipchat via App Embeds. Five minutes, no developer needed.

Every other platform takes one JavaScript snippet in your site header: WooCommerce, Wix, Webflow, Magento, BigCommerce, PrestaShop, or anything custom. Ten minutes.

  • Shopify: 1-click install, Built for Shopify certified
  • WooCommerce: JavaScript snippet, no plugin required
  • Wix: JavaScript snippet via site settings
  • Any platform: paste snippet into header or via Google Tag Manager
my-store.com
Products
Policies
Blog
FAQ
PDFs & custom content

Step 2

Zipchat reads your store and builds the knowledge base

Zipchat crawls every product page, collection, policy, blog post, and FAQ. Variants, prices, stock status, and the full catalog feed are all indexed. PDFs, custom text, an optional Google Merchant Feed, and a live PostgreSQL connection cover anything else.

You do not write articles. You do not train the AI manually. The knowledge base builds itself in minutes.

Rescans run weekly on Starter and Growth, daily on Pro, Scale, and Enterprise. Update a product or change a policy, and the AI learns the new version on the next sync.

What sizes do you have in the blue t-shirt?
The blue hoodie comes in S, M, L, and XL.
Want me to check stock for your size?
Add correction
Use a friendlier tone
The blue t-shirt 👕 comes in S, M, L, and XL.
Want me to check stock for your size? 😃
Correction added

Step 3

Set the AI's voice and what it can do

Spend five minutes in the AI Training panel. Write a core prompt: brand name, tone, goals (sell, support, recover carts), and topics that are off-limits. Add chat starters, proactive campaigns triggered by exit intent or scroll, and Shopify discount codes generated in conversation.

For actions, add Custom Tools. Connect a shipping provider, CRM, inventory system, or returns portal in plain English. Order tracking, return flows, handoff rules, and ticketing (Zendesk, Gorgias, Intercom, Freshdesk, Salesforce) all sit in the same panel. No coding. No webhooks.

Test Chat mode previews answers before any customer sees them. If a response is wrong, correct it in one click. The AI never repeats the mistake.

Website chat
WhatsApp
Instagram DM
Messenger
Email

Step 4

Deploy one AI agent across every channel

One knowledge base, one AI, five channels. A customer asking about sizing on your site, delivery on WhatsApp, or a return on Instagram DM gets the same answer from the same source. No duplication. No per-channel training.

The analytics dashboard tracks every conversation that ends in a purchase: chat-to-sale conversion, AOV from chat, total replies, and the questions and objections that come up most. Monthly reports surface what the AI could not answer, so you can close the gaps.

Knowledge base

The AI knows your store because it read your store

Zipchat does not guess. It does not use generic AI training data to answer your customers. Every answer it gives comes from content it read on your actual store: your product pages, your policies, your blog, your PDFs. If you change a product description, the AI learns the new version on the next rescan.

Product catalog

Every product page, variant, price point, description, and stock status. The AI can answer "Which one comes in size XL?" and "Is the black version in stock?" accurately.

Policies & help pages

Return policies, shipping timelines, delivery windows, warranty terms, and FAQ pages. The AI handles WISMO questions and policy queries without a human.

Brand voice

Your core prompt defines the AI's tone, personality, and goals. The AI speaks in your brand's voice on every channel, every conversation.

Custom content

Upload PDFs, paste text, or add individual URLs. Ingredient guides, size charts, assembly manuals, press releases - anything not crawlable goes in here.

Product feed

Connect a Google Merchant Feed for precise product matching with GTIN and ID fields. Products from the feed are prioritized in AI Search results.

Live database

Connect a PostgreSQL database for real-time order history, customer data, and inventory queries. The AI runs read-only queries and answers from live data, never exposing raw SQL or schema.

Zipchat uses RAG (Retrieval Augmented Generation) internally. The AI answers in plain language using the content you provided. Hallucination guards prevent it from inventing information not in your knowledge base. When it cannot find an answer, it says so and escalates to your team.

Retrieval loop

From customer message to verified answer in under 3.5 seconds

Each time a shopper sends a message, Zipchat runs a six-stage retrieval loop. The loop retrieves the most relevant catalog page or policy, verifies it against a confidence threshold, then either delivers a grounded answer or escalates to a human - all in real time, with no manual routing required.

  1. Parse intent

    The raw message is classified by topic, language, and urgency. Ambiguous phrasing (for example "where is my order") is resolved against conversation history so follow-up questions stay in context.

  2. Hybrid search

    Semantic vector search and keyword BM25 search run in parallel across your indexed catalog, policies, and blog. The top candidates from both are merged and re-ranked by relevance score.

  3. Context assembly

    The top-ranked chunks are assembled into a prompt context alongside the live conversation history. The window is sized so the model always has enough signal without hallucinating peripheral details.

  4. Generate draft

    The language model drafts an answer constrained strictly to the assembled context. It formats the reply in the shopper's language and applies your brand tone guidelines.

  5. Confidence check

    A confidence score is evaluated against your configured threshold. If the answer meets the threshold, it proceeds to delivery. If not, it forks to the escalation path.

  6. Confident
    Deliver

    Confident answers are sent to the shopper with a citation reference, in their language and your brand tone. Product links and stock status are included where relevant.

    Uncertain
    Escalate

    Uncertain answers trigger a handoff to a human agent via Zendesk, Gorgias, Intercom, Freshdesk, or Salesforce, with the full conversation context pre-loaded so the agent never has to ask the shopper to repeat themselves.

Omnichannel

One AI agent, every channel your customers use

You configure the AI once. It then runs natively across every surface where shoppers reach you - the website widget, WhatsApp, Instagram, Messenger, email, and a REST API for custom integrations. Same knowledge base, same brand voice, same accuracy threshold.

Website chat

Answers questions, recommends products, recovers carts on-site in real time. One line of JavaScript embeds the widget. Brand-matched out of the box.

WhatsApp

Reactive support and proactive cart recovery campaigns. Top campaigns recover 20-39% of abandoned carts.

Instagram DM

Converts followers into buyers. Handles product questions from DMs and post replies automatically.

Facebook Messenger

Handles customer inquiries from your Facebook Page and ads in real time, with full conversation context preserved across sessions.

Email

The AI reads incoming customer emails and responds using your knowledge base. Multi-turn threads supported. Drafts can be reviewed in Zendesk, Gorgias, or Freshdesk before sending.

REST API

Custom integrations - in-app chat, kiosk surfaces, voice transcripts, or your own native app. JSON in, JSON out.

Accuracy

Three mechanisms that keep the AI from making things up

Large language models hallucinate when left unconstrained. Zipchat applies three independent guardrails that together prevent fabricated product, price, or policy answers from reaching your customers.

RAG grounding

Every answer is composed only from retrieved chunks that exist in your knowledge base. The model is instructed not to generate facts that are absent from the retrieved context. No internet browsing. No generic training data.

Confidence threshold

Before delivery, each draft is scored. If retrieval confidence falls below your configured minimum, the AI does not guess - it acknowledges uncertainty and escalates to a human agent. You set the threshold per use case.

Source citation

Every answer surfaces the exact source chunks used to generate it. Customers can see where the information came from. Your team can audit answer quality and identify knowledge gaps without replaying conversations.

What happens when Zipchat does not know the answer?

It says so - in natural language - and routes the conversation to a human agent. The handoff includes the full conversation transcript, the retrieved context, and the confidence score, so the agent has everything needed to resolve the issue immediately.

Results

What happens when the AI goes live

These are measured outcomes from stores using Zipchat today. Conversion rates are calculated as the share of chat conversations that result in a purchase. Cart recovery rates are from WhatsApp campaigns sent to customers who abandoned a cart.

16.4% Average chat-to-sale ratio Zipchat platform analysis
37.8% Top chat conversion rate (health supplements brand) Zipchat platform analysis
Up to 39.6% WhatsApp cart recovery rate Zipchat platform analysis
2-3% Industry average ecommerce conversion rate Industry benchmark

The industry average ecommerce conversion rate is 2-3%. Top stores on Zipchat reach 25-37% from AI chat conversations. WhatsApp cart recovery at 20-39% outperforms email recovery (3-5% industry average) by 4-8x.

Tropic Feel

Tropic Feel, a global outdoor footwear brand selling in 65+ countries, uses Zipchat for cart recovery and multilingual support across their international customer base.

Read the full story →

Shelly

Shelly, a smart home electronics brand, deployed Zipchat to handle complex technical pre-sale questions and increase conversion from product page visitors.

Read the full story →

Family Nation

Family Nation, a children's fashion brand, uses Zipchat to handle customer support across multiple languages and markets from one AI agent.

Read the full story →

See the full results across 2,000+ stores.

Browse success stories
Integrations

Works on every ecommerce platform

Zipchat runs on Shopify natively. For every other platform, one JavaScript snippet is all that is needed. There is no plugin to maintain, no theme to modify, no developer dependency.

Shopify

1-click install, Built for Shopify certified, checkout support on Plus

WooCommerce

JavaScript snippet, full AI on your WordPress store

Wix

JavaScript snippet via site settings

Webflow

Paste snippet in page settings

Magento / Adobe Commerce

Snippet in header

BigCommerce

Script tag injection

PrestaShop

Header snippet or module

Custom platforms

Any platform that accepts JavaScript

Zipchat connects to Zendesk, Gorgias, Intercom, Freshdesk, and Salesforce for human escalation. It also connects to any external API via Custom Tools. Connect your shipping provider, loyalty program, CRM, or inventory system using plain-English instructions. The AI calls the API during the conversation and shares the result with the customer.

See all integrations
Security & compliance

Enterprise-grade security built in, not bolted on

Your customer conversations and store knowledge base are sensitive. Zipchat is architected with security as a first principle - not an upgrade tier.

AES-256 encryption at rest and in transit

All stored knowledge base data and conversation logs are encrypted with AES-256. All API traffic uses TLS 1.2+.

Data isolation per workspace

Each Zipchat account has its own isolated vector store. Your knowledge base is never shared with, or visible to, other Zipchat customers.

GDPR & CCPA ready

Data processing agreements available. Conversation data can be auto-deleted after 30, 60, or 90 days. EU data residency available on Enterprise plans.

SSO & role-based access

Integrate with your identity provider via SAML or OAuth. Assign view-only, editor, or admin roles to team members without sharing credentials.

FAQ

Common questions about Zipchat for ecommerce

How long does Zipchat take to set up?

Shopify stores go live in approximately five minutes. Install the app, enable the widget via App Embeds, and Zipchat starts crawling your store. On all other platforms (WooCommerce, Wix, custom sites), paste one JavaScript snippet into your site header. The full process takes under ten minutes. The knowledge base builds in the background as the crawl completes.

Will the AI give wrong answers to my customers?

Zipchat only answers from the content in your knowledge base. It does not invent information. If a customer asks something not covered in your store's pages, policies, or custom content, the AI says it does not have that information and escalates to your team. You can correct any response you disagree with in one click. The AI will not repeat that mistake. Proactive Knowledge Gap Detection also runs automatically: it scans recent conversations, flags gaps, and creates correction suggestions for you to review without reading every chat manually.

How does human handoff work?

When the AI reaches its limit, it collects the customer's email and forwards the full conversation context to your support team. Team members can take over any live conversation directly from the Zipchat dashboard. Zipchat connects to Zendesk, Gorgias, Intercom, Freshdesk, and Salesforce if your team uses a ticketing system. You can also take over manually at any time, regardless of whether the AI triggered the escalation.

What languages does Zipchat support?

Zipchat detects the customer's language automatically and responds in the same language. It supports 95+ languages out of the box with no configuration required. For stores with localized URL structures (for example /fr/ for French, /de/ for German), Zipchat's Localisation feature ensures French customers get answers from French content and German customers get answers from German content, rather than a mixed-language response.

Can I run Zipchat across multiple stores or brands?

Yes. Depending on your plan, you can create multiple agents. Each agent has its own knowledge base, training, widget, and channels. Growth plan supports five agents. Pro supports ten. Scale supports twenty. This is useful for brands with separate Shopify stores per market, or holding companies running multiple DTC brands from one Zipchat account.

How does Zipchat handle Black Friday and peak traffic?

Zipchat scales automatically. There is no traffic cap on conversations. Your AI reply quota (per your plan) is the only limit, and you can increase it at any time by upgrading or enabling auto-charge for additional reply packs. During BFCM, many stores run proactive chat campaigns (exit intent, scroll triggers) and WhatsApp cart recovery sequences simultaneously. The AI handles concurrent conversations without degradation.

Can the AI handle returns and refunds?

The AI can explain your return policy, initiate a return request via a Custom Tool connected to your returns platform (for example Loop Returns or your own returns API), and provide return label URLs. It cannot directly process a refund in your payment gateway. For refunds, it collects the customer's details and escalates to your team with full conversation context, so the agent does not need to ask the customer to repeat themselves.

What if a customer asks something the AI does not know?

The AI will say it does not have that information and offer to connect the customer with your team. It will collect the customer's email, summarize the conversation, and forward it via your escalation channel (Zipchat inbox, Zendesk, Gorgias, or email notification). You also receive a notification in your dashboard. The missed question is flagged in the Proactive Knowledge Gap Detection queue, so you can add the answer to your knowledge base and prevent the same gap from occurring in future conversations.