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See how our clients are using Zipchat and the awesome benefits it's bringing to their businesses!
Use case
97% of support tickets don't need a human. Now none of them have to wait for one.
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Trusted by 1,000+ eCommerce brands to handle support at scale
Source: Zipchat analysis of active client deployments
At a glance
Zipchat's AI handles order tracking, returns, product FAQs, and shipping questions across website chat, WhatsApp, Instagram DM, Messenger, and email, without a human agent. It resolves 97%+ of support cases automatically, and less than 3% ever escalate to a human, according to Zipchat analysis. 24/7, in any language, across every channel your customers use. For the small fraction that needs a person, conversations escalate with full context attached.
The average ecommerce store gets the same questions every day: "Where is my order?" "Can I return this?" "How long does shipping take?" "Do you have this in size X?" These questions are predictable, repetitive, and answerable. Yet they consume the majority of a support team's time.
Hiring more agents scales costs linearly with order volume. A store going from 500 to 5,000 orders per month needs 10 times the support capacity. That math does not work for most ecommerce businesses.
Help desk tools reduce response time. They do not reduce ticket volume. Macros and templates speed up individual replies but the queue keeps growing. BFCM, new product launches, and shipping delays create spikes that break the system entirely.
The result: long response times, frustrated customers, burned-out agents, and a support cost that grows every time the business succeeds.
Out of the box, Zipchat resolves the most common eCommerce support requests without any agent involvement.
Zipchat deploys as an AI chat layer in front of your support queue. It reads your entire site: product pages, return policies, shipping terms, size guides, FAQs, and blog content. From that knowledge base, it answers the questions your team receives every day.
Answer: "Where is my order?" The AI pulls the tracking link from your order confirmation flow and sends it directly in chat, without an agent touching the conversation.
Answer: "Can I return this?" The AI reads your return policy and gives a specific answer based on the product, time since purchase, and current policy rules.
Answer: "Do you have this in blue?" The AI checks your product page content and answers based on what is available, including sizing and variant information.
When the question falls outside what the AI can handle (a complex dispute, a fraud claim, a case requiring judgment), the conversation escalates to a human agent with the full chat history already attached. The agent does not need to ask the customer to repeat themselves.
The key capabilities for customer support automation:
The AI answers the questions your team receives most often, drawing from your existing content. No FAQ database to build manually.
Integrated handling of 'where is my order' questions. Customers get tracking information in chat without opening a ticket.
The AI explains your return process, eligibility rules, and next steps based on your published policies.
When the AI cannot resolve a case, it hands the conversation to a human with context intact. No repeat questions to the customer.
Customers do not choose their support channel based on what is convenient for your team. They reach out wherever they happen to be.
Zipchat connects your brand's support presence across website chat, WhatsApp, Instagram DM, Messenger, and email. The same AI, the same knowledge base, the same escalation rules, on every surface. A customer who contacts you at 2am on any channel gets an accurate answer immediately, in their language.
Website chat: A visitor is mid-purchase, hesitating on a product page. They have a sizing question your FAQ does not cover. They open the chat, get an answer in 10 seconds, and complete the purchase. This is the highest-intent support interaction: the customer is on your site right now with a decision in progress.
WhatsApp: A customer bought from you three days ago and has not received a shipping update. They open WhatsApp and message your business number. The AI provides the tracking information and closes the conversation without creating a ticket. WhatsApp is where customers go when they want a fast reply in the same app they use to message people they trust.
Instagram DM: A customer saw your product in a Reel and DMed before buying. They have a question about fit, ingredients, or compatibility. The AI answers from your product knowledge base and guides them toward purchase. Instagram is a discovery channel: customers who engage here have high purchase intent and a low tolerance for slow responses.
Messenger: A customer engaged with a Facebook post, has a returns question, and messages via Messenger. The AI handles it from the same knowledge base used across all other channels. Messenger is common for returning customers who interact with your brand on Facebook and want resolution without navigating to your website.
Email (support@yourbrand.com): A customer replies to an order confirmation or emails your support address directly. Zipchat connects to your support inbox and the AI responds. Returns, refunds, warranty claims, and anything requiring documentation get handled here. Complex disputes escalate to a human with the full email thread attached.
Explore how Zipchat works on each channel:
Less than 3% of support conversations require escalation to a human, according to Zipchat analysis of active deployments. For that 3%, the handover is structured.
Your team can:
Zipchat does not require your team to use a specific help desk. If your support stack runs on Zendesk, Gorgias, Freshdesk, or any platform with an email-connected inbox, Zipchat routes escalated conversations there. The agent receiving the ticket sees the full AI conversation history. They do not need to ask the customer to repeat themselves.
Also see how support automation connects to increase sales: the same AI that deflects support tickets also converts pre-purchase questions into orders.
For Shopify, install from the Shopify App Store. For all other platforms, add one line of code to your site's <head> tag. Setup takes under 10 minutes.
Zipchat automatically crawls your site and indexes all pages: product descriptions, FAQs, policies, and blog content. No manual setup required. Point it at your domain and it handles the rest.
Define which types of questions should always go to a human: fraud disputes, unusually large orders, VIP customers, or any topic you flag as sensitive. Everything outside those rules goes to the AI first.
Set the AI's communication style to match your brand: formal or conversational, brief or detailed. Add custom instructions for specific situations your store handles differently from standard policy.
Review conversations daily for the first two weeks. When the AI mishandles a question, correct it. The AI learns from corrections. After two weeks, the correction rate drops significantly and the system runs with minimal oversight.
Based on Zipchat analysis across client stores:
A deflection rate of 97%+ means a store receiving 1,000 support contacts per month has its team handling roughly 90 conversations instead of 1,000. That is the difference between a 2-person support team and a 20-person support team at the same order volume.
See how much you could save: Zipchat ROI Calculator
| Scenario | Before Zipchat | After Zipchat Recommended |
|---|---|---|
| 'Where is my order?' at 11pm | No response until morning. Customer frustrated. | Instant answer in chat, 24/7 |
| Return request | Agent reads policy, writes reply manually | AI handles based on policy; escalates if needed |
| BFCM ticket spike | Support team overwhelmed; response times spike to days | AI absorbs the volume; queue stays manageable |
| New agent onboarding | Weeks of training on policies and FAQs | AI handles the routine cases; new agents handle exceptions |
| Customer with a complex dispute | Handled alongside routine questions | Routed to human immediately with full context |
Zipchat's support automation works from your published content. If your return policy, shipping terms, or product information is not documented on your site, the AI cannot answer questions about it accurately. Keeping your policy pages current is a prerequisite for high deflection rates.
It is not a replacement for human judgment in edge cases. Fraud disputes, legal claims, and emotionally sensitive interactions need a person. The system routes these correctly when escalation rules are configured, but those rules need to be set up during onboarding.
Stores that require agents to access back-end order management systems (to issue refunds, modify orders, or apply credits) will still need human involvement for those actions. Zipchat handles the conversation layer; it does not directly integrate with order management workflows in the current version.
Ecommerce customer support automation uses AI to resolve customer inquiries without human agents. The AI reads a store's published content (policies, FAQs, product pages) and answers customer questions in real time. When a question falls outside what the AI can handle, it escalates to a human with the full conversation attached. Automation reduces ticket volume and extends support hours without adding staff.
The percentage depends on your ticket mix. Stores with high volumes of predictable questions (order status, returns, shipping, product FAQs) see the highest automation rates. Zipchat resolves 97%+ of support cases automatically, according to Zipchat analysis of active deployments. Stores with more complex, judgment-intensive inquiries see lower automation rates, typically 60 to 80%.
Not when the AI gives accurate answers. Customers care about getting the right answer quickly. An AI that resolves a tracking question in 10 seconds at 2am improves the experience compared to waiting until morning for a human response. Zipchat's 99.8% reply accuracy, according to Zipchat analysis, means customers rarely get wrong information. CSAT scores at well-configured stores typically stay flat or improve after deployment.
When the AI encounters a question outside its knowledge base or flagged as requiring a human, it escalates the conversation to a live agent. The escalation includes the full conversation history so the agent does not need to ask the customer to repeat themselves. Escalation rules are configurable during setup.
Zipchat handles the AI conversation layer. For conversations that escalate to human agents, the chat history can be forwarded to your team. Direct integration with specific help desk platforms (Zendesk, Gorgias, Freshdesk) varies by plan. Contact the Zipchat team during onboarding to confirm integration options for your specific setup.
