Trusted by 850+ brands across 42 countries

Miinto
mejuri
rapha
dott
Mytheresa
monica-vinader
gls
allsaints
monese
outnorth
mindful-chef
charles-tyrwhitt
clubl
freddie's flowers
PastaEvangelists
loaf
oliver bonas
mammut
qpark
fabfitfun
adanola
organicbasics
mammaly

What fashion brands need from support

Sizing and fit

The most common pre-sales question in fashion, a conversion moment when handled fast, an abandoned cart when it isn't

Returns and exchanges

A core workflow in fashion, not an edge case, resolved directly rather than just explained

Channel consistency

Chat, email, WhatsApp, Instagram DMs, one history, no repeating yourself

Peak season without the hiring cycle

Absorb a 5x volume spike without hiring and training temporary staff for it

A brand experience that matches the price

Premium prices set an expectation, a generic templated reply breaks it

Resolves, doesn't just answer

Mim processes the refund or update directly, not just points to a policy page

The conversation ends with a resolution, not a redirect

Mim handles the repetitive, high-volume questions, sizing guidance from your own size charts, order status, return eligibility, directly and around the clock, then hands off with full context when a situation needs judgment a script can't provide.

  • Learns from your size charts and return policy automatically
  • Processes refunds and exchanges directly
  • Absorbs peak-season spikes without a seasonal hiring cycle
Image Description

One AI that shows up wherever your customers do

Phone, email, live chat, WhatsApp, Instagram, and Facebook Messenger sit in one workspace, so an agent handling a sizing question over chat can see the same customer's return request from last week, without switching tools.

  • Conversation Engine routes by skill, priority, and language, no manual triage each morning
  • Discover shows CSAT, response times, and volume sources in real time

Frequently Asked Questions

Does Mim handle sizing questions accurately, or just point to a size chart?

It reads your actual size charts and product-specific fit data, then answers directly, rather than linking out and leaving the customer to figure it out themselves.

Can Mim actually process a return, or does it just explain the policy?

It processes it directly, checking your actual return policy and order data, then completing the return or exchange, not just describing the steps.

How does this handle a Black Friday or seasonal spike without extra hiring?

Mim absorbs the predictable, repetitive volume, sizing questions, order status, standard returns, so a fixed team can handle a 5x volume day without a temporary hiring cycle.

Does the AI stay consistent with our brand voice?

Mim resolves based on your own knowledge base and policies, so responses reflect what your brand has actually documented, not a generic script.

What happens when a customer's issue needs a real person?

Mim hands off with the full conversation and order history already loaded, so the agent isn't starting from zero.

How long does it take to switch from our current platform?

Most fashion brands are live within 2 to 4 weeks, with historical conversation data imported so agents keep full customer context from day one.

Do you have real fashion customers, or is this generic ecommerce positioning?

Rapha, Oliver Bonas, Organic Basics, Charles Tyrwhitt, AllSaints, Mytheresa, and Adanola all run their customer service on Dixa.

Does Dixa handle channels beyond email, like Instagram DMs?

Phone, email, live chat, WhatsApp, Instagram, and Facebook Messenger all sit in one workspace, so a conversation that starts on one channel keeps its full history if the customer switches to another.

See what Dixa can do for you

Book a call with our team and discover how brands like yours handle more with less.

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