spotIndustry
Scale
over 200,000 products
Modules
Years on market
35
Integrations
AtomStore
Key results
Key results for a motorcycle-parts store
Measured in AskSpot over a two-month window. A typical chat is a fitment question – model, year, engine – and nearly one in six ends in a sale.
€14,000
in chat-driven orders a month
24.6%
of chats add an item to the cart
15.8%
of chats end in a purchase
53%
of chats resolved with no human
Before AskSpot
A motorcycle part is bought by its fit
Nobody buys a piston, a gasket or a chain kit the way they buy a helmet. The real question is always the same one: will this exact part fit this exact bike – the model, the year, and often the engine code stamped on the cases. A shopper knows they ride a Gilera SMT from 2016 with a D50B0 engine, or a Honda PCX 125 with an NHA16; what they cannot tell, from a product page, is whether the part in front of them is the right one.
A catalogue of over 200,000 parts makes that harder, not easier – the same component fits some models and not others, and the cross-references live in fitment tables, not in the shopper’s head. Every one of those questions used to end at a product page that couldn’t answer it, or in a message sent late at night: nearly two thirds of them arrive outside business hours, when there is no one to ask.
What decides the sale
the fit
Identified by
model · year · engine
Where the answer lived
fitment tables
Help after closing
none
Rollout
How Mieloch rolled out AI chat
One module, three jobs, in the order a parts purchase actually happens: confirm the fit, find the exact part and its specs, then keep the customer after the sale.
Step 01
Fitment by model, year and engine
Answering “will it fit my bike?”
The catalogue of over 200,000 parts was grounded on the cross-references that decide a fitment – model, year and engine code – so the Agent can turn “a D50B0 engine” into the right part rather than a category page, and say plainly when the data can’t confirm a fit.
What shoppers ask
- Will this screen fit a Vespa GTS Super 125 from 2023?
- Will this exhaust gasket fit a Gilera SMT 2016, engine D50B0?
- A valve-seal repair kit for a Honda PCX 125, engine NHA16?
Step 02
The exact part and its specs
Search, spares and technical detail
Spare-part and accessory cross-references were wired in – variator rollers, chain and sprocket kits, repair kits, the technical dimensions – so the Agent finds the correct-weight, correct-size component and answers the spec question that comes with it.
What shoppers ask
- Variator rollers for a Sym Jet 14 50, 2018?
- An Afam chain kit for a Sherco SM 50 R Factory?
- What’s the bore diameter, and is it harder than standard?
Step 03
Order status, delivery and returns
Post-purchase, around the clock
Live order data and the returns flow were connected, so “has it shipped?” returns a real dispatch status after a quick identity check, and a return is started end to end in the chat under the 14-day policy – the tail of questions that used to fill the inbox.
What shoppers ask
- Has my order shipped yet?
- When will my parts be dispatched?
- How long do I have to return a part?
Around the clock
Your busiest hours aren't nine to five
Each bar is the share of chats 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.
From real conversations
What Mieloch shoppers actually ask
Almost everything asked is one job: will this exact part fit my bike. Compatibility and fit lead, then specs and features, then finding the right accessory or spare – three quarters of every chat is identifying the right part for a specific model, year and engine. Order status and returns are a small tail. This is a fitment desk, not a support desk.
Based on tagged conversations over two months · about 10 messages each · 62% arriving outside business hours.
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