AI chatbot for auto parts and accessories stores that closes sales
In auto parts, one question decides the sale: does this fit my car. Year, make, model, trim. The chat reads fitment fields from your catalog and answers with the part number, not a category page.
Questions your shoppers might type
The kind of question a shopper might send auto parts & accessories stores. The chat reads your product data, recommends the right item, and answers these on its own. You can step into any live conversation whenever you want.
does this fit a 2018 Honda Civic
is this OEM or aftermarket
what is the part number for this brake pad
will this fit a 2.0 TDI Passat B8
Where auto parts & accessories stores lose shoppers
Three pain patterns your category runs into, and what they cost you.
Fitment is everything
Wrong part, returned order. Year, make, model and engine have to match before the buy button, and without that confirmation there is no sale.
OEM vs aftermarket
Some buyers want original parts, some want a cheaper alternative. That question goes to the store, and the store that answers first usually gets the order.
Long SKUs and part numbers
A part number copied from an old invoice is a common way in. If your store cannot match it or suggest an alternative, the search moves elsewhere.
When a shopper enters make, model and year, the brake pad comes back confirmed as a fit and the order goes through. The right part shows up, so nothing ships back as the wrong fitment.
How Emporiqa fits this category
No scripted flows or FAQ training. The salesperson uses your product data.
Fitment from product attributes
Year, make, model, engine and trim fields are pulled from your catalog. The chat answers "this fits 2016 to 2020 Civic 1.5T" based on your data.
SKU and part number lookup
A shopper pastes an OEM number, the chat searches your catalog and returns the product or a compatible alternative with price.
OEM vs aftermarket clarity
If the product attribute flags a part as OEM or aftermarket, the chat answers directly. No guessing, no cross-branding mistakes.
Handoff for complex fitments
When fitment depends on a VIN or an ambiguous trim, the chat collects the details and offers a person from your team, with the full context attached.
Works with your platform
Official plugins for six self-hosted e-commerce platforms. Install from your marketplace, link your store, run the sync. One-click connect on WooCommerce, PrestaShop, Magento and Shopware; two credentials on Drupal Commerce and Sylius.
Start free with $25 of credit
Pay $0.25 per conversation past the credit. Capped at $59/month by default. No trial deadline, no card needed at signup.
Pay-as-you-go
Self-serve
$0.25 per conversation
100,000 products · cap defaults to $59/mo · no card needed at signup
Enterprise
Large catalogs
Custom
Up to 500,000 products · custom rates · SLA
Both plans: a conversation is billed once, at the shopper's first message. Full analytics, 65+ languages, AI model costs included, cancel anytime.
See full pricing detailsCategory FAQ
Questions store owners in this category tend to have.
Does it handle Magento fitment attributes?
Yes. Magento configurable products with year, make, model and engine attributes are supported. The chat answers fitment from those fields.
What about PrestaShop for EU auto parts?
PrestaShop is supported. Product features, combinations and multilingual descriptions sync in, which suits EU stores with multiple-language catalogs.
Can it answer by VIN?
VIN decoding depends on your catalog data. The chat can ask for a VIN, and where your product attributes do not cover it, it says so and offers a person from your team.
Does it support SKU search?
Yes. Shoppers can paste a part number and the chat returns the product if it exists, or suggests a compatible alternative from your catalog.
Which platform do you run?
Auto Parts & Accessories Stores on five self-hosted platforms. The chatbot reads the same kinds of catalog data on each (variations, stock, descriptions) but the platform-specific terminology and integration path differ.
Does Emporiqa work for a WooCommerce auto parts store?
Yes. Year-make-model fitment data from WooCommerce attributes powers queries like 'brake pads for 2018 BMW 3 Series' or 'OEM vs aftermarket headlights'. SKU lookup is exact-match. Returns and shipping for heavy parts read from your store pages. See the WooCommerce integration page →
Does Emporiqa work for a Magento auto parts store?
Yes. Year-make-model fitment data from Magento attributes powers queries like 'brake pads for 2018 BMW 3 Series' or 'OEM vs aftermarket headlights'. SKU lookup is exact-match. Returns and shipping for heavy parts read from your store pages. See the Magento integration page →
Does Emporiqa work for a PrestaShop auto parts store?
Yes. Year-make-model fitment data from PrestaShop attributes powers queries like 'brake pads for 2018 BMW 3 Series' or 'OEM vs aftermarket headlights'. SKU lookup is exact-match. Returns and shipping for heavy parts read from your store pages. See the PrestaShop integration page →
Does Emporiqa work for a Drupal Commerce auto parts store?
Yes. Year-make-model fitment data from Drupal Commerce attributes powers queries like 'brake pads for 2018 BMW 3 Series' or 'OEM vs aftermarket headlights'. SKU lookup is exact-match. Returns and shipping for heavy parts read from your store pages. See the Drupal Commerce integration page →
Does Emporiqa work for a Shopware 6 auto parts store?
Yes. Year-make-model fitment data from Shopware 6 attributes powers queries like 'brake pads for 2018 BMW 3 Series' or 'OEM vs aftermarket headlights'. SKU lookup is exact-match. Returns and shipping for heavy parts read from your store pages. See the Shopware 6 integration page →
Does Emporiqa work for a Sylius auto parts store?
Yes. Year-make-model fitment data from Sylius attributes powers queries like 'brake pads for 2018 BMW 3 Series' or 'OEM vs aftermarket headlights'. SKU lookup is exact-match. Returns and shipping for heavy parts read from your store pages. See the Sylius integration page →
Other store categories
Try It On Your Store
Connect your products and watch the salesperson handle shopper questions on your catalog.
Your dashboard shows what each conversation led to. After about 100 free conversations, your own numbers decide.
- $25 signup credit
- $0.25/conversation, capped
- No card required