WhatsApp Support for Fashion Brands on Shopify (India)

Last updated: 28 October 2026.

WhatsApp support for fashion brands comes down to a short list of questions that repeat all day: which size, is it in stock, will it reach before the function, where is my parcel. If you run a kurta, saree, western wear or footwear label on Shopify in India, those messages arrive faster than a small team can type, and many arrive after midnight. This guide sorts twelve of them by who should answer, so an AI agent handles the ones a size chart, a catalog or an order can answer, and your team keeps the ones that need a person’s eye or a decision.

ZynfoAI is an AI customer service agent for Shopify stores that answers customers on WhatsApp Business and website chat. ZynfoAI Starter costs $39 a month, or $390 a year, with 1,000 AI replies a month and 3 team seats, no per-resolution or per-seat fees, and a 7-day free trial with no card.

What do shoppers ask a fashion brand on WhatsApp?

Shoppers ask about fit before they buy and about delivery after they buy. Before: size against their measurements, whether their size is in stock, how the fabric behaves, and whether the colour matches the photo. After: where the parcel is, whether it arrives before a wedding or festival, cash on delivery, and how to swap a size.

Fit is the heart of it. FashionUnited reported that Indian online buyers return purchases mainly because of size issues, and quoted an Amazon Fashion business head saying most returns are customers looking for an alternative size (FashionUnited: Indian online apparel retailers face size issues). The article is from 2019 and its numbers are not current, but the reason fits what store owners tell us: a shopper who is unsure about size writes to you first. Your reply is the fitting room.

Here are the twelve questions, in the words customers type.

Which of the 12 fashion questions can an AI agent answer?

An AI agent can answer the questions whose answer already exists on your website, in your documents, in your Shopify catalog or in the customer’s Shopify order. Seven of the twelve below fit that. Three need a person’s judgement or a decision. Two split between the agent and your team.

ZynfoAI learns from your website, your documents and your Shopify catalog, and for online stores it reads the customer’s order to give a status. A question it cannot answer becomes a help-desk ticket for your team.

#	What the customer types	Where the answer lives	Who answers
1	”I am 38 chest and 5’6. Which size?”	Size chart on the product page	AI agent, if the chart is written out in words
2	”Is this pure cotton? Will it shrink?”	Fabric and care lines on the product page	AI agent for what you wrote; your team for anything beyond it
3	”Is size M available?”	Shopify catalog	AI agent
4	”Is the colour the same as the photo?”	A judgement about light and screens	Your team
5	”Do you have this in plus sizes or another colour?”	Shopify catalog and product search	AI agent
6	”Where is my order?”	Shopify order and tracking	AI agent
7	”Will it reach by the 14th for a wedding?”	Shipping page, plus the order if there is one	AI agent for your stated shipping times; your team for a date promise
8	”Is cash on delivery available?”	COD rule on your shipping page	AI agent, if the page states the rule
9	”What is your exchange policy?”	Exchange policy page	AI agent, if the page states it
10	”I want to swap M for L.”	A decision on stock and your process	Your team
11	”The kurta I got has a loose seam.”	A photo and a decision	Your team
12	”What goes with this saree for a sangeet?”	Product catalog	AI agent, as product search that helps the shopper find products

Seven are answerable from material you already own or can write in an afternoon. That is a mix to plan around, not a promise about what any store will see.

Why do fashion questions need size charts written in words?

Because an AI agent can only repeat what your pages say. A size chart saved as an image tells it nothing. The same chart typed as text gives it something to say. Clear pages give clear replies, and vague pages give vague ones, so most of the work happens before you switch the agent on.

Shopify product options such as size and colour each combine into a variant, so one kurta in four sizes and three colours is twelve variants (Shopify Help Center: product variants). That structure is useful: the agent reads the catalog, so keep your size and colour options clean and your stock current.

Three habits make the difference:

1. Type the size chart as text. “M: chest 38 in, length 44 in. L: chest 40 in, length 44.5 in.” The photo of the chart can stay for people.
2. Say how the garment fits. “Relaxed fit; most customers keep their usual size” is a sentence the agent can repeat. Without a line like that, it has nothing to say and the question becomes a ticket.
3. Write fabric and care in plain lines. “Cotton, pre-washed, wash cold” is one line. A missing line is a gap a shopper fills with a guess.

Our guide to the AI knowledge base for a Shopify store lists the policy pages every Indian D2C store should write. This post adds the product-side pages a fashion brand needs on top.

Where should an AI agent stop and your team start?

Stop it wherever the answer is a judgement or a decision: colour accuracy, a swap, a defect, a delivery date you would have to guarantee. Write that rule into the agent’s instructions, test it in the playground, and let the question become a help-desk ticket for your team.

This is the honest limit of any AI agent for a fashion brand. ZynfoAI answers from what you have given it. It does not look at a photo of a seam, decide an exchange or promise a courier date. In the ZynfoAI dashboard you set the agent’s instructions and its message for questions it cannot answer, and the playground lets you try awkward questions before customers do.

A sensible set of instructions for a fashion brand has three lines:

• Answer size, fabric and stock questions only from the product pages and the catalog.
• For an exchange request, a defect or a colour complaint, say the team will reply, and ask for the order number.
• For “will it reach by” questions, quote only the shipping times written on the shipping page and say the team confirms exact dates.

Many shoppers also type in Hinglish. This guide does not promise anything about language support; ask the agent a handful of Hinglish questions in the playground and judge the replies yourself before going live.

On the Starter plan, a question the agent cannot answer becomes a help-desk ticket, and Starter does not transfer a live chat to a person. Live chat handoff to your team is on the Pro plan. If you want a person to join a chat mid-conversation, that is the plan feature to know about. Our post on what happens when an AI agent cannot answer walks through both paths.

What does a fashion brand’s night on WhatsApp look like?

Take a made-up brand, Indigo Lane, a Surat kurta label with a Shopify store. At 11:40 PM a shopper asks whether the Jaipur block-print kurta is available in size M and, in the same chat, where her last order is. A second shopper asks which size suits her measurements. A third says the colour of her kurta looks different from the photo.

With ZynfoAI on the brand’s WhatsApp Business number:

• The stock question is answered from the Shopify catalog.
• The order question is answered from the Shopify order: a status and a tracking link. Shopify’s own order status page lets customers check shipment status without contacting you once tracking numbers are added (Shopify Help Center: order status and tracking), and WhatsApp is where many Indian shoppers ask instead.
• The size question is answered from the size chart on the product page.
• The colour complaint becomes a help-desk ticket with the customer’s details, ready for the team in the morning.

Nobody on the Indigo Lane team is awake, and three of the four customers already have an answer. The fourth waits for a person, which is correct. The WhatsApp order tracking guide for Shopify covers the order half in detail, and the product recommendation feature explains how Shopify product search helps customers find products.

How does the flow work from question to answer?

A customer writes on WhatsApp or website chat. The AI agent reads your store’s pages, documents and catalog, and the customer’s order if there is one. If it has the answer, it replies. If it does not, it creates a help-desk ticket for your team so the question is not lost.

The same agent covers your website chat, so a shopper who starts on a product page and one who starts on WhatsApp get answers from the same source. That is the point of one AI agent on two channels: one set of pages to maintain, not two.

How many AI replies does a fashion brand need in a month?

Count conversations, multiply by the replies per conversation, and compare with your plan. As an assumption, not a measured figure, suppose a conversation takes about three AI replies. A brand with 300 WhatsApp conversations a month uses about 900 replies, inside Starter’s 1,000. A festive month of 520 conversations uses about 1,560.

Month	Conversations (assumed)	AI replies at 3 per conversation	Fits Starter’s 1,000?
Normal	300	900	Yes
Diwali sale	520	1,560	No: Pro has 5,000

At the limit, ZynfoAI’s AI replies pause until the monthly reset. Customers get a holding message and conversations still reach your team. Replies your team types do not count. If you expect a month like the festive one, choose Pro, which has 5,000 AI replies, or plan for the team to pick up the overflow. The guide to how many AI replies a Shopify store needs has a worksheet for your own numbers.

WhatsApp message fees are separate and billed by Meta. Meta says it does not charge for messages from users to businesses, and from 1 October 2026 each business phone number has a free tier of 1,000 delivered service messages a month, with charges from the 1,001st (Meta: WhatsApp Business Platform pricing). Check that page for current rates before you plan your budget. ZynfoAI charges no per-resolution or per-seat fees on either plan, so the AI’s success does not raise your bill.

What about cash on delivery and the festive rush?

Cash on delivery is a question customers ask before buying, so it belongs in your knowledge base as a rule. State where COD is offered, any order value limit and any fee. The agent can then answer “is COD available?” from your page, instead of your team answering it forty times a day. Our COD and RTO playbook covers the owner’s side of this.

ZynfoAI does not confirm COD orders. That call or message to the customer is a task for your own process.

The weeks before Diwali are when “will it reach before Dhanteras?” floods the inbox. Put your last-order date for festival delivery on a page, then follow the Diwali sale WhatsApp checklist. Diwali’s main day in 2026 is 8 November. Sending a festive drop to a list of customers is a WhatsApp broadcast campaign, which is on the Pro plan.

What should a fashion brand do this week?

Write the pages, load them, and test the twelve questions before you turn the agent on for customers.

1. Type a size chart in words for every product that has sizes.
2. Add a fit line to each product: relaxed, regular or slim.
3. Write fabric and care lines as plain text.
4. Write your COD, shipping and exchange rules, with your last-order date for festivals.
5. Add the pages and your Shopify catalog as knowledge sources.
6. Set the three instructions above for swaps, defects and delivery dates.
7. Ask the agent all twelve questions in the playground and fix any weak reply by fixing the page.
8. Start the free trial on your WhatsApp Business number.

If you are still choosing a tool, our comparison of WhatsApp tools for Shopify stores in India sets several side by side, and the pricing page lists exactly what each plan includes. A beauty label will find the same method applied to shade and ingredient questions in our WhatsApp support guide for beauty brands.

FAQ

Can an AI agent answer size questions for a fashion brand?

Yes, from what your store has written down. ZynfoAI learns from your website, your documents and your Shopify catalog, so it can repeat a size chart or a fit line that is on a product page or in an uploaded file. It cannot measure a person or decide an exchange.

Does ZynfoAI handle exchanges and returns?

No. This guide does not claim that. ZynfoAI can repeat an exchange policy that you have written on a page, and it can turn a question it cannot answer into a help-desk ticket for your team. The decision to swap a size stays with your team.

Does ZynfoAI work on WhatsApp for a Shopify fashion store?

Yes. ZynfoAI answers customers on WhatsApp Business through the official API and on website chat, and it works with Shopify. For online stores it reads the Shopify catalog and the customer’s order, so it can give an order status or help a shopper find a product.

How much does ZynfoAI cost for a small fashion brand?

ZynfoAI Starter costs $39 a month, or $390 a year, with 1,000 AI replies a month and 3 team seats. There are no per-resolution or per-seat fees, and WhatsApp message fees are billed by Meta. The 7-day free trial needs no card, and a 15-day money-back guarantee applies.

What happens when the AI agent cannot answer a customer?

It turns the question into a help-desk ticket for your team. Starter does not transfer a live chat to a person; live chat handoff is on the Pro plan. After the trial, the workspace moves to the Free plan with 100 AI replies a month unless you choose a plan, and your data is kept.