Customer service automation, set up for you.

Most store support tickets are the same six questions: where is my order, can I return this, what size should I get, does it work with my model, when will it restock, how do I change my address. They are repetitive, they arrive at night, and every one of them already has an answer sitting in your store data. Customer service automation is about letting software answer those, accurately, and sending the rest to a person quickly.

What you get

• An assistant trained on your data: orders, shipping and returns policies, size charts and product details, not generic internet answers.
• Order-status lookups: the customer gives an order number and email, and the assistant reads the live status and tracking.
• Returns and exchange intake: eligibility check against your policy, then the case is collected for your team.
• Sizing and product help: answers drawn from your size charts, attributes and descriptions.
• Human handoff: a clean transfer with the conversation attached.
• A test pass: we run real past questions through it before launch and fix wrong answers.
• Rules you can read: a short document of what it will and will not do.

How it works

1. You share read access to orders and products, your policies and an export of recent support questions.
2. We sort those questions into what can be automated, what needs a person, and what needs a policy decision from you.
3. We build and connect the assistant. Our AI engine does the drafting; a person reviews the answers it gives and the handoff rules.
4. You test it on a staging or limited setup, and approve before it faces customers.
5. It goes live on your channels, and we review the first conversations with you and tighten the rules.

Access is through a staff or collaborator account or API key you can revoke. We never ask for passwords.

Channels

If WhatsApp is your main channel, the COD confirmation service and /whatsapp-automation cover the outbound side.

What not to automate

Good automation knows its limits. We keep these with a person:

• Refund and chargeback decisions, and anything involving money moving.
• Complaints about safety, allergic reactions or damaged goods that need photos assessed.
• Angry or distressed customers, where a fast human reply matters more than a fast one.
• Legal, tax and warranty claims that depend on judgement.
• Anything the assistant cannot find in your data. It should say it does not know, not make something up.

The handoff matters more than the automation. A customer who gets a wrong confident answer is worse off than one who waits twenty minutes for a person.

Measuring it without invented numbers

We do not promise a deflection rate, because it depends on your question mix. Measure your own:

1. Before launch, count a typical week of tickets by type.
2. After launch, count conversations the assistant resolved with no handoff, and conversations handed off.
3. Sample twenty resolved ones weekly and mark each correct or wrong.
4. Track repeat contacts on the same order, which signals an answer that did not land.

If accuracy on the sampled set is poor, we change the rules or the data, not the headline number.

Pricing

AI customer support starts from ₹9,999 / $599 / £479 / A$899 setup. The fixed quote comes after we look at your channels, your policies and your question types. See /ai-customer-support for the service overview and /pricing for the rest.

Is this a fit?

It suits stores getting repeated order, returns and product questions, where policies are written down and the product data is in decent shape. It works best when someone on your team can take the handoffs.

It does not suit a store with a handful of messages a week, where answering yourself is quicker. It also does not suit businesses with no clear return policy: the assistant can only be as clear as your rules. And if your product data is messy, fix that first, since the assistant answers from it; our catalog cleanup handles that.

Start with the free 10-product sample, or request a quote at /get-started.