Flipkart and Meesho listings, built to template.

Flipkart and Meesho both run on category templates, mandatory attributes and image checks. The panels are different, but the pain is the same: hundreds of rows, one wrong value, and a batch that comes back rejected. We prepare the data so that does not happen.

What you get

• Category templates filled for each product type you sell.
• Mandatory attributes completed from your specs: fabric, fit, pattern, occasion, country of origin, brand, pack contents and so on, as the template asks.
• Variant rows built correctly: size, colour and pack combinations with SKUs and stock fields.
• Size charts converted into the format the panel asks for, for fashion.
• Titles and descriptions written in plain Indian English, no keyword stuffing.
• Images renamed and ordered to match product and variant, checked against the platform's published image guidance.
• A QA report listing missing attributes before you upload.

How it works

1. Send your catalogue. Supplier sheet, existing Shopify export, or another marketplace download, plus images.
2. Fixed quote. We count products, categories and variants, then send an INR price before any work.
3. We build. The AI engine fills the volume, and a person reviews every row against the template rules.
4. You approve. You check a sample and the QA report.
5. Upload. You upload the files, or we do it through delegated access you can remove. Error files that come back are corrected within the agreed scope.

What is different on these two marketplaces

Category templates and mandatory attributes

Each category has its own template with required columns. A kurta needs different fields from a phone case, and an unfilled mandatory column is the most common reason for a failed upload. We read the current template for your category from the panel, because templates change. If you send us last year's file, we update the structure first.

Fashion size charts

Fashion is where most rejections and returns start. Sizes must be consistent across variants, measurements must match the chart, and "Free Size" has to be stated honestly. We convert your measurements into the chart format, flag oddities such as a Large smaller than a Medium, and ask you to confirm before upload.

Images

Both platforms publish image guidance covering background, resolution, aspect ratio, watermarks and file type, and they update it. We check images against the current guidance in your seller panel's help pages instead of repeating numbers that may have changed. See our general guide on product image requirements. If your images fall short, AI product photos can help.

Meesho versus Flipkart

Meesho listings tend to be simpler and lower-priced, with heavy emphasis on clear photos and accurate sizes. Flipkart panels ask for more structured attributes and brand detail. We keep one master dataset and adapt it to each template, so a change to one product flows to both.

What is outside our scope

Pricing, commission, shipping fees, returns policy, ad spend and account approval belong to you. We prepare the data; we do not run the account.

Before you upload

A few things decide whether a batch goes through at all, and none of them are data entry:

• Category and brand approvals. Some categories and brands need approval or documents before listing. We tell you what the panel is likely to ask for. We cannot obtain approval for you.
• GST and HSN details. Panels ask for tax details per product. You or your CA confirm the HSN and GST rate; we place them in the template.
• Colour names that match the photo. Use a standard colour name that matches what the image shows. A mismatch between the listed colour and the picture is a common reason for returns and complaints.
• Pack contents and quantity. State exactly what is in the box, including set sizes, so the listing does not promise more than ships.
• SKU discipline. One stable seller SKU per variant, reused across both panels and your own store, so orders and stock reconcile later.

Pricing

Feeds and marketplaces start from ₹7,999 per channel setup. More categories, large size runs and bigger catalogues change the number, so you get a fixed quote after we inspect your files. Cross-store catalogue work is listed on our India page, and the general plans are on pricing. Turnaround is from 48 hours for eligible projects; turnaround depends on scope, catalog complexity and the quality of the data and access we receive.

Is this a fit?

It suits sellers with 100 or more SKUs, fashion or home categories with many variants, or those who also want the same products on their own Shopify or WooCommerce store. If you plan to add Amazon.in later, see our Amazon listing service.

If you have ten simple items, do them in the panel yourself. If your problem is low sales rather than failed listings, better photos, pricing or advertising will help more than data entry.

Try a free 10-product sample, or request a fixed quote.