Case study

How Sport-Shop turns 17%
of chats into cart-adds

Sport-Shop.pl is a Polish online sports and outdoor retailer selling camping, beach and garden equipment, fitness machines and water gear, including its own Outtec brand.

4 min read

Sport-Shop Assistant
Type your question
Powered by spot

Scale

16,000 sports and outdoor products

Helpdesk

Freshdesk

Results

Key results

Measured in AskSpot across 6,202 chats over 30 days — what the agent does for the basket, and how much of the queue it closes on its own.

17%

of chats fill a basket

1.4

items in an average chat basket

46%

product recommendation click-through

88%

of chats resolved with no human

Before AskSpot

A summer catalogue, and the same questions every time

Sport-Shop sells gear that people buy for a specific weekend. A lounger, a tent, a pool pump or a set of beach chairs is ordered on Thursday for Saturday — so the questions that decide the sale are always the same two: will it arrive in time, and will it actually fit?

Both are questions a catalogue page struggles to answer. Whether a 50×150 cushion fits a particular lounger, what the insole length of a size 43 is, or whether a mat holds up on a stony beach are details a shopper wants confirmed by someone before paying. Demand also peaks hard in season, and the evenings and weekends when people plan a trip are exactly when nobody is on the other end.

Cover outside opening hours

none

Questions that repeat most

delivery & fit

Demand pattern

seasonal peaks

Queues to staff

chat & e-mail

Rollout

How they rolled it out

Storefront advice first, because that is where the sale is won; then live order data, because status questions are a fifth of everything asked; then the email queue, so the same answers serve both channels.

AI Sales Agent

Step 01

Catalogue & Stock Sync

Pre-sale advice on the storefront

The full range went in, own-brand Outtec included, so the agent can compare two loungers or two chairs and say which suits the surface, the weight and the budget.

What shoppers ask

  • I’d like a lounger for sunbathing — any advice?
  • Is this mat any good on a stony beach?
  • I want a cross-trainer, mains-powered, under €185

AI Sales Agent

Step 02

Order API Integration

Delivery dates and order status

Order status alone is 21.8% of everything asked on chat, and cut-off times decide whether a parcel makes the weekend — so both come from live data, not a policy page.

What shoppers ask

  • If I order today, will it be in the parcel locker by Saturday?
  • When will my parcel reach me?
  • Can I collect the order from the shop myself?

AI Inbox Agent

Step 03

Freshdesk Integration

The post-sale email queue

9,617 tickets a month joined the same catalogue and order data, so a refund rule or a delivery cut-off only has to be right once to be right in both channels.

What shoppers ask

  • When will I get the refund for the lounger I sent back?
  • Three carry straps are missing from the mat
  • Can I drop the return off at your warehouse myself?

Measured in AskSpot

What the agent does in a month

15,800

conversations handled a month

44%

of chats come in after hours

8

messages per conversation

5 s

average first response

From real conversations

What Sport-Shop shoppers actually ask

Delivery and physical fit decide a summer purchase. "When will it arrive?" leads everything, and specs — weight, dimensions, size, what surface it works on — come a close second. Together they are well over half of every pre-sale question.

Delivery terms & timing29.6%
Product specs & fit27.8%
Order status21.8%
Product advice & search13.9%
Returns & cancellations6.8%
Accessories & spare parts3.5%
Complaints & warranty2.7%
Discounts & promotions1.5%

Based on 6,198 tagged conversations over 30 days · about 8 messages each · 44% arriving outside business hours.

Post-sale inbox

The email queue runs on the same catalogue

Sport-Shop's Freshdesk queue — refunds, cancellations, missing parts, delivery chasing — runs through the AI Inbox Agent alongside the on-site chat. Routine tickets are answered end to end; damage, faults and anything needing a judgement call are triaged to the team.

36%

3,468 of 9,617 emails resolved end to end by AI over 30 days — the rest are triaged and routed to the right person.

Resolved by AI

  • PLWhen will I get the refund for the lounger I sent back?Refund
  • PLI'm cancelling the order I placed yesterdayCancellation
  • PLThree carry straps are missing from the matMissing parts
  • PLCan I drop the return off at your warehouse myself?Returns
  • PLWhen will my order be dispatched?Delivery

Sent to your team

  • PLThe lounger arrived damaged on both sides — photos attachedComplaint
  • PLThe pool pump won't start after installationFault
  • PLSend a green beach chair — the navy pair is out of stockExchange
  • PLNine days and no answer to my complaintEscalation
  • PLWrong e-mail address on my return formAccount

More case studies

See how other stores use AskSpot

More stories from teams that automate support and grow sales with AskSpot.

All case studies

Sportano

How Sportano handles 12,750 conversations a month with one agent

Sportano's AskSpot agent covers the whole order lifecycle — specs and restock questions before the sale, cancellations and returns after it. 71% of chats resolved with no human, 17% add to cart, across Polish and German storefronts.

Read the story →

Morele.net

How Morele.net cut customer service costs by 90%

Morele.net cut customer service costs by 90% and went from 50 support agents to 5. AskSpot resolves 71% of its 37,600 monthly chats with no human, and answers Allegro marketplace questions from the same catalog.

Read the story →

Militaria.pl

How Militaria resolves 83% of chats in 9 languages

Militaria.pl runs AskSpot AI chat across three domains in nine shopper languages: 48% product recommendation click-through, 27% add-to-cart after a chat and 83% of chats resolved with no human — 16,600 conversations a month, over half after hours.

Read the story →

4FIZJO

How 4FIZJO automated 50% of customer inquiries with AI

4FIZJO cut website calls and messages by 40% and automates a third of its helpdesk tickets. AskSpot's AI Chat resolves 74% of its 21,360 monthly chats with no human, across 6 markets, and its Inbox Agent clears email and Allegro tickets in Thulium.

Read the story →

Tatuum

How Tatuum turns 18% of fashion chats into a sale

Tatuum's AskSpot sales agent turns 18% of chats into a purchase and 28% into cart-adds — reading the size chart from real body measurements, in Polish and Hungarian. Its inbox agent auto-resolves 41% of post-sale emails.

Read the story →

Twoje Meble

How Twoje Meble fills 1 in 5 furniture carts

Twoje Meble's AI sales agent adds an item to the cart in 18.5% of chats and resolves 88% with no human — 2,057 furniture conversations a month, 41% of them after the showroom closes.

Read the story →

25case studies

See every story

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

Browse them all →

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.