spotIndustry
Automotive — tyres & rims
Scale
101,000 tyres, rims and accessories in the feed
Modules
Markets
Poland
Results
Key results
Measured in AskSpot across 2,121 chats over 30 days. Fewer chats end in a sale here than at a parts shop — but when one does, it is a set of four tyres, not a single item.
€45,900
in chat-driven orders a month
€370
average chat-driven order
40%
product recommendation click-through
84%
of chats resolved with no human
Before AskSpot
Nobody browses tyres
A tyre is a considered purchase that most people make reluctantly, once every few years, without knowing the vocabulary. The size is on the sidewall but the decision isn’t: summer, winter or all-season; 68 dB or 71; what the load index has to be; whether a 185 will sit on a 5½J rim; whether the cheap brand is the same rubber as the expensive one. Four hundred euros is riding on getting it right.
Those are showroom questions, and they used to need a person who knew tyres to answer them. Over half of them arrive in the evening, when nobody is on the other end — and an unanswered “which one?” is not a delayed sale, it is a shopper who opens a comparison site instead.
What shoppers ask most
which one?
Typical basket
a set of 4
Buying frequency
every few years
Help outside office hours
none
Rollout
How they rolled it out
One module, three jobs — and they were added in the order a shopper meets them: find the tyre, judge it, then trust the shop enough to buy four of it.
Step 01
Size & Season Search
From a car to a shortlist
The catalogue is indexed by size, season and load index, so a shopper who knows only their car and a budget still lands on three real options.
What shoppers ask
- All-season 205/65 R15 for a Berlingo, about €46 each
- Summer tyres for a Ford Mondeo Mk4
- Which all-season in 245/35 R19 rides softest?
Step 02
Label & Review Grounding
Judging one tyre against another
EU label figures, tread specs and owner reviews were pulled into the same answer — so the agent can say 71 dB is mid-pack, and that a model scores 4.6/6 with 97% recommending it.
What shoppers ask
- Is 71 dB a loud tyre?
- What’s the difference between the RF11 and RF12?
- Are Arisun and Goodride the same thing?
Step 03
Policy & Order Access
The questions that close the sale
Production-date rules, what a take-off tyre is, promotion conditions and live order status — the trust questions that come last and decide whether the basket is paid for.
What shoppers ask
- What year were these tyres made?
- What does “take-off” mean — is it a return?
- Is there a discount on a full set?
From real conversations
What SklepOpon shoppers actually ask
One topic is more than a third of everything asked, and it isn't a fault or a delivery date — it's "which tyre should I buy". Size, season, budget, noise, brand and production year, in that order. This is a shop where the sale is won by advice.
Based on 2,115 tagged conversations over 30 days · about 9 messages each · 57% arriving outside business hours.
More case studies
See how other stores use AskSpot
More stories from teams that automate support and grow sales with AskSpot.
How Carmager resolves 90% of chats across 15 markets
Carmager sells made-to-measure car accessories across 15 storefronts. AskSpot answers fitment in the shopper's language — 90% resolved, 20% to cart, 11% buy.
Read the story →
How Gmoto turns chat into €48,300 in orders a month
Gmoto sells motorcycle parts (1.9M SKUs) in 20 languages. Its AskSpot agent: 20% of chats add to cart, 10% end in a purchase, 87% resolve with no human.
Read the story →
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 →
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 →
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 →
How SFD turns 26% of chats into cart-adds
SFD's AskSpot agent adds a supplement to the basket in 26% of chats and resolves 73% with no human — 4,200 conversations a month across chat and email.
Read the story →
See every story
Every merchant we have measured — what shoppers asked, what the agent did, and the numbers it moved.
Browse them all →