MCC Codes
Cardflo supports this MCC
MCC 5621

Women's Ready-To-Wear Stores.

Women's ready-to-wear and contemporary fashion.

MCC
5621
Category
Clothing Stores
Cardflo support
Yes
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What MCC 5621 covers

Merchant Category Code 5621 is the ISO 18245 identifier used by the card networks for women's ready-to-wear stores. Acquirers, issuers and regulators use this code to set interchange, scheme fees, fraud rules and reporting categories for every transaction your business processes.

Women's ready-to-wear and contemporary fashion. Choosing the right MCC is critical: an incorrect code can lead to higher interchange, surcharges, or, in regulated categories, declined transactions and account holds.

MCC 5621 covers merchants selling women's ready-to-wear clothing and contemporary fashion, including physical boutiques and e-commerce platforms. Ticket sizes vary significantly, from mid-range for everyday wear to high-value for designer pieces.

Purchase frequency can be higher than menswear, driven by seasonal trends and social events. The prominence of e-commerce in this segment means a high proportion of Card-Not-Present (CNP) transactions.

Chargeback rates can be moderate, with disputes frequently revolving around 'merchandise not as described' due to fit, fabric, or colour perception issues (Mastercard reason code 4853, Visa reason code 13.3).

Returns for sizing or style preferences are also common and, if mishandled, can lead to chargebacks.

High-end fashion items may attract fraud attempts, placing some merchants under increased scrutiny from scheme fraud monitoring programmes like Visa's Integrity Risk Program (IRP) if their fraud-to-sales ratios exceed acceptable thresholds.

Cardflo’s chargeback management tools, including dispute response automation and robust evidence submission, are highly beneficial for these merchants. They can streamline the often complex process of defending against size/fit related chargebacks by efficiently compiling relevant supporting documentation.

Merchants in women's ready-to-wear must focus on robust CNP fraud prevention and efficient returns processing to mitigate chargebacks. Implement 3DS2 selectively based on transaction value and risk indicators, optimising for a smooth customer journey.

Given fluctuating ticket sizes and frequent purchases, ensure your payment gateway supports a multi-acquirer strategy for optimal authorisation rates and cost efficiency. Clear product descriptions with accurate sizing and colour representation are paramount for online sales.

Acquirers typically watch for higher dispute ratios, so proactive chargeback management is key, and reserve requirements are not default but can be applied if risk parameters are breached.

Acquirer and acquirer assessment stance.

Low to medium-risk standard board. Due to the higher potential for returns and ‘not as described’ disputes, some acquirers may apply closer monitoring for higher-volume online merchants.

Reserves are not standard unless specific risk factors are identified.

Dispute and chargeback profile.

Predominant disputes are 13.3 / 4853 (merchandise not as described) due to discrepancies in fit, colour, or perceived quality, and occasionally 13.1 / 4855 (goods/services not received). Customers often claim items look different in person than online, or that sizing is incorrect despite published charts.

Combat these with comprehensive product descriptions, multiple high-quality images under varied lighting, customer reviews with sizing notes, and clear proof of delivery. For fraud, 3DS2 and Address Verification Service (AVS) are crucial; provide proof of authorisation and delivery to the cardholder's verified address.

See also: chargeback management · payment response codes · Compelling Evidence 3.0.

Payments built for Women's Ready-To-Wear Stores.

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How Cardflo handles MCC 5621

  • Placement with acquirers that actively board MCC 5621 businesses in your region.
  • Refund and exchange handling tuned to fashion and apparel return patterns.
  • Seasonal-peak routing that scales through Black Friday and end-of-season sales.
  • Buy-now-pay-later integrations for typical apparel basket sizes.
  • Wallet acceptance and tokenisation for repeat fashion buyers.
  • Dedicated onboarding manager familiar with apparel and fashion retail.

Payment methods typically enabled.

Visa Credit / Debit
Mastercard Credit / Debit
Apple Pay
Google Pay
AMEX
Open Banking

Onboarding checklist.

What acquirers typically ask to see when boarding MCC 5621. Cardflo collects this once and reuses it across every acquirer we route you through.

  • Business registration and beneficial-owner documentation (KYB, UBO).
  • Six months of processing statements demonstrating average basket size and returns rate.
  • Refund, exchange and sizing-guide policy shown at checkout and in-store.
  • PCI DSS SAQ appropriate to the environment (A, A-EP or D as relevant).
  • Supplier or brand documentation where the merchant sells third-party labels.
  • Chargeback ratio and dispute history covering the last six months, including any Visa or Mastercard monitoring-programme status.

See also: Know Your Customer (KYC) · high-risk merchant · smart routing.

Route MCC 5621 traffic with confidence.

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Common questions

What are the primary drivers of 'merchandise not as described' chargebacks for women's fashion and how to minimise them?

Primary drivers include discrepancies in visual representation (colour, drape), fit expectations, and perceived fabric quality.

These can be minimised by providing multiple high-resolution images, detailed size charts with model measurements, customer reviews with photo uploads, accurate material composition, and virtual try-on augmented reality (AR) tools if available. Clear and realistic product descriptions setting proper expectations are crucial.

Are there any specific scheme programmes that fashion retailers, particularly e-commerce, should be aware of regarding dispute rates?

Yes, merchants with higher dispute rates, especially within e-commerce, might be flagged under programmes like the Visa Integrity Risk Program (IRP) or Mastercard's Excessive Chargeback Program (ECP).

Exceeding thresholds (e. g. , typically 0.9% for chargebacks, or a set number of chargebacks per month) can lead to fines, increased monitoring, or even programme fees. Proactive dispute management and a focus on customer service to prevent chargebacks are essential.

How can women's fashion retailers manage returns efficiently to avoid chargebacks?

Efficient returns management is key. Retailers should offer clear, accessible return instructions and a hassle-free process.

Processing refunds promptly upon receipt of returned goods (within scheme timelines, e. g. , 5 business days for Mastercard) is vital. Communicating return status updates to customers reduces anxiety and the likelihood of customers initiating a chargeback out of frustration.

Implementing a dedicated returns portal can significantly improve this process.

Given the high return rate in women's ready-to-wear, how can I prevent returns from escalating into chargebacks for online purchases?

Preventing returns from becoming chargebacks requires a streamlined and transparent returns process. Clearly articulate your returns policy on your website, including timeframes, conditions, and any associated costs.

Ensure customers have easy access to return labels and instructions. Process refunds promptly once items are received and inspected.

Proactive communication with the customer during the return process, confirming receipt of the item and expected refund date, can significantly reduce the likelihood of a dispute.

Sometimes a credit to the card, rather than a store credit, is required by scheme rules if the original purchase was made with a card.

How can I handle the increase in CNP fraud attempts, especially for higher-value fashion items, without hindering legitimate sales?

Addressing CNP fraud without impacting genuine customers involves a multi-layered approach. Implement dynamic 3DS2, intelligently triggering it for transactions flagged as high-risk by your fraud prevention tools, rather than on every purchase.

Utilise Cardflo’s fraud and risk management platform to analyse transaction data, leveraging machine learning to identify suspicious patterns. Combine AVS and CVV checks with IP geolocation and velocity checks.

For particularly high-value orders, consider additional verification steps like contacting the customer or requiring signature-on-delivery. This balanced strategy helps protect revenue while maintaining a smooth checkout for loyal customers.

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