AskSpot

AI Chat for fashion & apparel stores

AskSpot answers the real questions fashion shoppers ask – size, fit, styling, delivery – in their own language, reads your size chart from their measurements, and adds the item to the cart. Every thread below is real.

AskSpot Assistant
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up to 27%

of chats add an item to the cart

up to 20%

of chats end in a purchase

up to 72%

of chats resolved with no human

4

markets, in the shopper's language

Inbox agent

The inbox agent that clears a fashion store's support email

Complaints, returns, cancellations, delivery chases, invoices – answered 24/7 in the customer's language. Only what truly needs a person reaches your team.

up to 41%

648 of 1,582 support emails resolved end to end by AI – the rest are auto-triaged and routed to your team, 24/7, in the customer's language

Resolved by AI

  • PLWhen will my order be shipped?Order status
  • CZHow long does the shop take to prepare an order?Delivery
  • PLI generated a return – has it been processed?Return
  • PLI need an invoice for my orderInvoice
  • PLCan you change the postcode on my order?Order change

Sent to your team

  • HUOrder arrived incomplete – an item is missingComplaint
  • ENI created a return but don't know how to send it backReturn
  • PLSent the dress back with the form – no replyComplaint

See AskSpot on your fashion store

Book a demo and we’ll show both modules working on your catalog.

Around the clock

Your busiest hours aren't nine to five

Each bar is the share of conversations by hour of day, in local time. The shaded window is when a typical team is at their desks. Everything outside it is the agent working a shift no one else is on.

Mon–Fri 9–17, team at their desks00:0003:0006:0009:0012:0015:0018:0021:00
Staffed hours (46%)After hours (54%)

From real conversations

What fashion shoppers actually ask

Across ~4,300 real store conversations, delivery, styling and sizing questions lead – the full topic mix a fashion store handles every day.

Delivery & shipping19%
Styling & product advice15%
Sizing, fit & product specs14%
Order status & tracking13%
Returns & exchanges13%
Discounts & promotions11%
Account & loyalty5%
Payments & checkout3%
Complaints & warranty2%

Based on ~4,300 real conversations · about 8 messages each · 4 markets (PL, HU, CZ, SK), one AI agent.

Security and control you can trust

AskSpot is designed to operate safely in demanding e-commerce – with data protection, reliable AI and full operational control.

No AI training

Your data never trains external models

EU data residency

Data & conversations stay in the EU · Azure · Google Cloud

GDPR & the EU AI Act

DPA available · AI transparency by default

Isolated environment

Dedicated to your organization

Integrates with your stack

Proof

Fashion case studies – and beyond

All case studies

Casu

How Casu closes a purchase in 13% of footwear chats

Polish footwear house Casu turns fit questions into sales: 12.8% of chats end in a purchase, 18.8% add to cart, 78% click the shoe the AI recommends and 70% resolve with no human – on IdoSell.

Read the story →

Morele.net

How Morele.net cut customer service costs by 90%

Morele.net cut support costs 90%, from 50 agents to 5. AskSpot resolves 65% of its 37,600 monthly chats with no human and answers Allegro questions too.

Read the story →

Militaria.pl

How Militaria resolves 72% of chats in 8 languages

Militaria.pl runs AskSpot across three domains in eight languages: 61% recommendation click-through, 26% add-to-cart after a chat, 72% resolved with no human.

Read the story →

4FIZJO

How 4FIZJO resolves 61% of customer chats with AI

AskSpot's AI Chat resolves 61% of 4FIZJO's 21,360 monthly chats with no human across 6 markets; its Inbox Agent auto-resolves 25% of email tickets.

Read the story →

GadziSklep

GadziSklep: 81% of exotic-pet chats resolved by AI

GadziSklep's AskSpot chat helps hobbyists build a whole terrarium setup – enclosure, UVB, heating, feeders and supplements – resolving 81% of chats, sending 30.6% to the cart at a 48% recommendation click-through, 69% of it after hours.

Read the story →

Carmager

How Carmager resolves 72% of chats across 12 markets

Carmager sells made-to-measure car accessories across 12 storefronts. AskSpot answers fitment in the shopper's language – 72% resolved, 19.6% to cart, 11.3% buy.

Read the story →

18case studies

See every story

Every merchant we have measured – what shoppers asked, what the agent did, and the numbers it moved.

Browse them all →

Testimonials

What our customers say

Reviews from e-commerce companies that automate support and improve customer experience with AskSpot.

All testimonials

“AskSpot enables us to provide superior support for Ariston customers at every stage – from pre-purchase advice to post-sale and service assistance. Equally important, Ariston benefits from the valuable insights AskSpot delivers about customer preferences, which help us continuously improve the customer experience.”

Tomasz Guziewicz

★★★★★

Tomasz Guziewicz

E-Commerce Manager East Europe & Romania, Ariston Group

“AskSpot is a revolutionary solution for us. We provide our customers with the key information they need instantly while simultaneously reducing the workload of customer service.”

Dariusz Jodziewicz

★★★★★

Dariusz Jodziewicz

Quality Director, morele.net

“AskSpot has significantly improved customer service in our stores. The assistant not only searches the product catalog and helps customers choose the right hardware, but also automatically checks the status of orders and complaints – relieving the team and shortening response times.

The greatest value for us is the scalability of the solution and the ease of integration with additional stores and markets. We treat AskSpot as a strategic component of our customer experience development and sales automation.”

Adam Kubarski

★★★★★

Adam Kubarski

Director of E-commerce & Marketing, senetic.net

“We have been impressed by how AskSpot delivers a seamless experience for our customers while remaining incredibly intuitive for our own team to manage.

Beyond the ease of use, the detailed analytics and reports are of enormous value – they help us make better decisions around customer satisfaction. Behind AskSpot stands a team that puts innovation first and keeps developing the product to match changing business needs.”

Agnė Butkutė

★★★★★

Agnė Butkutė

Head of Contact Center, PHH Group

“At GadziSklep, customers often need more than product information – they’re looking for specific advice on keeping their animal. AskSpot helps them choose the right products for a given species, answers their questions and guides them through the range even when our team is already off. That lets us stay available to customers almost around the clock, without losing service quality. It’s a solution that brings knowledge, advice and sales together in one place.”

Kamil Wijas

★★★★★

Kamil Wijas

Co-Founder & Chief Growth Officer, GadziSklep.pl

“The rollout took less time than we expected and did not require rebuilding our processes. The AskSpot team fit the solution to the way we work, not the other way around. We saw that flexibility at every stage, including when we raised feedback.

Before going live we tested the assistant on our own hardest questions and decided which cases it starts with. We are widening its scope step by step and still see room to grow. Repetitive questions no longer take up our advisors’ time, so they can spend it on the conversations that call for judgement and a human touch. Customers get accurate answers in the evenings and at weekends too, while our team’s working hours have stayed the same.”

EW

★★★★★

Ewelina Wiechetek

Head of Customer Experience, Meblobranie.pl

19testimonials

See every testimonial

Read what the e-commerce teams who put AskSpot live say about working with it.

Check all the testimonials →

FAQ

AI chat agent for fashion & apparel – frequently asked questions

Can AskSpot answer fashion sizing and fit questions?

Yes – it reads your size chart and each product’s measurements, asks the shopper their usual size or measurements, and recommends the right fit. Sizing is the question fashion shoppers ask most, and getting it right before checkout is what turns a browse into a sale.

Can it give styling advice and suggest complete looks?

Yes. It suggests complementary items and full outfits from your own catalogue – “what pairs with wide-leg linen trousers?” – the way a good shop assistant would, which lifts basket size.

Does it actually work for clothing stores?

Across real fashion stores it adds an item to the cart in up to 27% of chats and resolves up to 72% with no human, in four markets in the shopper’s own language.

Which platforms and channels does it work with?

Shopify, Magento, PrestaShop, WooCommerce, IdoSell and more, plus Allegro, Amazon and your helpdesk – on-site chat, email and marketplace inboxes, in 200+ languages.

Is my data safe, and is there a trial?

Your store and customer data are EU-hosted, never used to train external AI models, and GDPR-compliant. Every rollout starts with a free two-week trial.

Other industries

Other industries we work in

Same agent, different questions. See how it sells in another vertical.

Marketplace & Multi-categoryProduct discovery, order status and returns, at scale.View →
Military & TacticalSpecs, compatibility, and what is legal to ship where.View →
Sports & OutdoorsTechnical gear for demanding customers.View →
AutomotiveWill this part fit my car – by model and year.View →

Test before you trust

Worried AI will cost you customers?

You never flip a switch and hope. Every answer is checked by our AI, our specialists and your own team before launch – and if you want extra reassurance, you can go live after hours first.

Layer 01

Self-testing AI

Every reply is checked automatically against your catalog and your rules, so off-topic or off-brand answers are caught before anyone sees them.

Layer 02

Vetted by experts

Our specialists challenge it with all kinds of questions, drawing on experience from dozens of e-commerce projects we've run, then sign off on the quality.

Layer 03

Tested on staging

Your own managers get a private staging environment to try the chat end to end – ask anything, push the hardest cases – and approve it before go-live.

Layer 04

After-hours launch

Want extra reassurance? Optionally go live only outside working hours at first, review every answer and the full statistics, then expand when you're ready.

You decide when – and if – AskSpot goes live.
No leap of faith, no lock-in.

Ready to make every conversation sell?

Book a demo and see AskSpot on your own catalog. Onboarding takes a few days.