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Fitment and compatibility questions

Turn conversations into customers.

A shopper asks whether this part fits their car, or whether this knife holds up to daily use. Chatsi answers from your catalog, your fitment rules and your knowledge base, then recommends the product or the set of products that fit. It is a sales assistant, not a support chatbot: bought on conversion, not on ticket deflection.

  • Answers fitment, compatibility and suitability questions from your own catalog and rules
  • Recommends the product or the compatible set, not a ranked list
  • Works before the purchase. Support AI works after it, and is bought on a different number

5.0 average rating

  • G2
  • Capterra
  • Software Advice
  • Trustpilot
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“Will this actually work for me?”

The highest-intent question a shopper asks, and the one search, filters and generic chatbots all fail. It has two faces, and the same mechanism answers both.

Auto parts, motorcycle, performance. Fitment is explicit and verifiable: the shopper knows their vehicle and needs to know what fits it. Compatibility rules that live in a spreadsheet rather than in your product data are usually the highest-value thing Chatsi learns.

Marine, pool supply, outdoor. Equipment bought once and expected to last, where sizing, chemistry and compatibility all have to be right and the shopper is usually solving a problem rather than browsing a category.

Industrial, pro audio, technical electronics. Deep catalogs, specification-dense products, and buyers who are expert in their job but not necessarily in your taxonomy. The answer is often a set of parts that have to work together.

Luxury and high-ticket goods, specialty retail. The doubt is confidence rather than compatibility — is this the right one, and is it worth it — but it stops the sale in exactly the same place. William Henry is the measured case.

Will this slip-on fit my 2019 CBR600RR with the stock mid-pipe?

It does — it clamps to the stock mid-pipe, no header change. Add a fresh gasket:

  • Slip-on — 2019 CBR600RR fitment
  • Exhaust gasket — matched to the mid-pipe
  • Spring clamp — included size

Fitment confirmed, and the parts that go with it

Our customers see results

Two stores. Real orders over their first months live.

JD Muscle

Automotive aftermarket · ~100k visitors / mo · ~8,500 SKUs · PRO tier

Measured June 3 – July 2, 2026

Observed session conversion rate

2.35%

Chatsi-engaged sessions

0.81%

Non-engaged sessions

$111,381 checkout value across 184 chat-involved orders in the first month

Attributed orders passed four gates: identity matched to the order, chat before the purchase, within 30 days, and the recommended product is the one ordered.

Observed comparison, not a controlled test. Engaged and non-engaged shoppers were not randomly assigned, and incrementality testing has not been run.

Do you have 4 piston full brake kits for 2006 Nissan 350z?

A 2006 350Z takes the 4-piston front setup. Here is what fits yours:

  • Front big brake kit — fits 2006 350Z
  • Rear caliper set — matched to the front kit
  • Stainless brake lines — 350Z fitment

$3,257 order

Illustration of the exchange. The shopper's message is verbatim; the reply and results show what the mechanism does with it.

  • Is this spoiler easy to install on my 22 WRX?

    $275 order

One message, and the mechanism is visible: a fitment constraint read, a compatible set assembled, a high-value cart.

William Henry

Luxury knives and men's jewelry · ~40k visitors / mo · ~250 SKUs · PRO tier

Measured May 21 – July 22, 2026

Observed session conversion rate

2.39%

Chatsi-engaged sessions

0.31%

Non-engaged sessions

$83,890 across 74 chat-involved orders in the first two months

Those 74 orders were 21% of all 357 retail orders in the period, from roughly 4% of sessions engaging.

Attributed orders passed four gates: identity matched to the order, chat before the purchase, within 30 days, and the recommended product is the one ordered.

Observed comparison, not a controlled test. Engaged and non-engaged shoppers were not randomly assigned, and incrementality testing has not been run.

  • I'm viewing D2 Spyglass. Is the titanium body durable for regular use?

    $525 order

Structurally the same objection as a fitment question — one specific doubt blocking one specific purchase.

Voices of Trust

  • GoalZero
    Incredible AI solution. The improved shopping experience has made a real difference for our customers selecting from some complicated options. Helps our customers find right products quickly and effortlessly, and we soon noticed a clear uptick in conversions as a direct result.
    Spencer QAssociate Director of E-commerce
  • MNG Brands
    From day one, the Chatsi team brought a spirit of collaboration and genuine care to our onboarding journey. The creative process of refining the perfect AI tool to meet our needs has been thoughtful, seamless, and honestly, just really fun!
    Christina JSenior Learning & Development Manager
  • SMITH
    It feels like magic. Customers ask anything and Chatsi nails it, every time. It’s like having our smartest product expert on call 24/7.
    James VDirector of Digital Experience
  • Meraki
    Chatsi nails the balance between smart tech and seamless UX. It just works and it feels like part of the brand, not just bolted on.
    John TSenior Manager - User Experience
  • Tasty Edits
    Chatsi gives better answers than I could give…big win.
    Alex LCEO

What it looks like on your store

Three placements.

  • Concierge chat

    A persistent assistant that carries the whole conversation — discovery, comparison, verification — without handing the shopper back to a results page.

    Which of these can I fit myself?

    Good news — the exhaust. Two clamps and a socket set, about an hour.

    Will it work with what I already own?

  • Ask AI, where they already search

    A question box on the homepage instead of a keyword box, and an answer assembled from your catalog above the results.

    What wheels fit a 2022 WRX?

    Yes — three of these fit your 2022 WRX and clear the factory brakes:

    • 18×9.5 +38
    • 18×8.5 +45
    • 17×9 +42

  • In-page product prompts

    Prompts on the product page aimed at the specific doubt that stalls that specific product, at the moment the shopper is looking at it.

    Is this durable for daily use?

    Yes — flow-formed and rated above stock load. Daily driving is no problem.

Chatsi

AI Changed Shopping. Ecommerce Hasn't Caught Up.

Modern shoppers expect answers, guidance, and personalized recommendations—not filters, search bars, and guesswork.

Smart, Personalized
Customer Experience

The AI chatbot adapts to each user to offer thoughtful and personalized recommendations, and answers instantly - working for your store all day, every day , 24/7 (including Sundays at midnight).

Personalized recommendations:

Shoppers just ask — and Chatsi instantly finds, compares, and recommends the perfect product using natural, AI-powered language.

24/7 chatbot:

Chatsi is a 24/7 AI chatbot for Shopify, WooCommerce, and more — always available to answer product questions and boost conversions, even when your team is offline.

Instant answers:

Chatsi’s ecommerce chatbot delivers instant, accurate product recommendations and answers — no delays, no ticket queues, just real-time help that drives sales.

Human-like assistance:

Chatsi uses conversational AI to simulate a real human sales expert — helping shoppers find the right product through natural, engaging chat on your ecommerce store.

Your Expertise. Your Brand.
Smarter AI.

Your chatbot is trained on your unique product data, brand voice, and industry insight, delivering expert-level support that sounds like you. With dedicated onboarding and continuous AI tuning, Chatsi stays aligned with your goals and gets smarter with every conversation.

Product knowledge:

Backed by our AI Knowledge Hub™, Chatsi deeply understands your catalog, specs, and variants — even across 10,000+ SKUs.

Brand voice:

Keep your voice consistent — Chatsi mirrors your tone, personality, and brand values to ensure shoppers feel right at home.

Custom Use Cases:

Built for YOUR business needs — from upselling bundles to pre-sales Q&A, Chatsi crafts AI conversations tailored to your store’s unique goals.

Industry Context:

Chatsi understands your niche — from fashion to electronics, it brings vertical-specific smarts to guide every buyer confidently.

Tailored Setup:

We train your AI on your actual store backend — syncing deep product data, FAQs, reviews, and more to create a truly expert bot.

Business Goals:

Whether it’s boosting AOV, increasing conversion rates, or reducing returns, Chatsi aligns AI behavior with your real business outcomes.

Conversations → Conversions
Insights → Impact

Growth-focused AI that turns conversations → conversions by tracking performance, uncovering trends, and fine-tuning itself in real time.

Real-Time Analytics

Track chatbot performance and customer behavior instantly — Chatsi gives you real-time insights to drive smarter, faster decisions.

Scalable by Design

Chatsi scales effortlessly with your product catalog, traffic spikes, or multi-store setup — no downtime, no friction.

Data-Driven Growth

Every conversation fuels your growth — Chatsi turns chat data into actionable insights for marketing, retention, and merchandising.

Self-Optimizing AI

Chatsi continuously learns from every conversation — refining answers and recommendations to boost conversions over time.

Who this is and isn’t for

Parts catalog where the wrong order is the problem?

  • A fit

    You have already hit the ceiling of search

    • You have invested in search, filters, rich product pages and speed, and the complex part of your catalog still doesn’t convert.
    • Your products are fitment-sensitive, where the wrong choice is a return or a safety risk.
    • Or they are high-ticket, where the wrong choice is an expensive regret.
    • The buying journey is long: discover, compare, verify, build confidence, buy.

  • Not a fit

    Cheap, simple, or low-volume

    • Fast-fashion and low-consideration catalogs, where the shopper has no question to ask.
    • Catalogs where price is the whole decision.
    • Low-volume stores, where there is not enough traffic for a difference to show.

    Saying so now is cheaper for both of us than finding out on the call.

Answers the questionAI shopping assistantEngages the shopperSupport AIDeflects tickets
Talks to the shopper before the purchase
Recommends products from your catalog
Checks a fitment or compatibility rule before it recommendsVaries
Assembles a set of products that fit togetherVaries
Answers “is this the right one for me?”Varies
Trained on your catalog
Trained on your policies and knowledge baseVaries
Works after the purchaseVaries
Reports revenue against matched ordersVaries
The metric it is bought onConversionEngagementTicket deflection

Platforms and pricing

Chatsi runs on Shopify, Salesforce Commerce Cloud, Adobe Commerce (Magento), BigCommerce, WooCommerce and Miva.
Plans start at $1250 / month for Lite.

Book a callPricing

Common
questions

The ones that come up most before a first call.

From your data. Chatsi reads the catalog, the fitment and compatibility rules you already maintain, and the knowledge base your team answers from, and it answers only inside them. A question the data cannot settle gets a handoff to a person, not a guess.

The JD Muscle case study on this page is a fitment catalog: about 8,500 SKUs of auto aftermarket parts. The demo runs on your catalog, so the questions are your shoppers', not ours.

A support chatbot is bought on ticket deflection and works after the purchase. Chatsi is bought on conversion and works before it, on the product question that is blocking the sale.

The distinction is not cosmetic — it decides what the thing is trained on. A support bot knows your policies. Chatsi knows your catalog, your fitment rules and your policies, because a shopper's question crosses all three.

Chatsi answers from your catalog, your knowledge base and your documents, not from open-web knowledge about your category. Where it has no grounded answer it says so and routes the shopper, rather than producing a plausible one.

Tone, boundaries and no-go topics are set in the admin console without developer involvement, and exclusion lists let you keep specific products out of recommendations. Chat logs are readable, so a wrong answer is something you can find and correct rather than something you hear about from a customer.

Your catalog, knowledge base and documents are used to answer your shoppers' questions and are not used to train models serving other merchants. Chat logs are retained on a per-plan schedule and are yours to export.

Full detail is in the data privacy policy.

A catalog connection, whatever knowledge you already have written down, and a short review pass on how the assistant answers before it goes live. Fitment or compatibility rules that live in a spreadsheet rather than in your product data are the one thing worth surfacing early, because they are usually the highest-value input and the one nobody thinks to mention.

Thirty minutes. We look at your catalog and the questions your shoppers are already asking, identify where uncertainty is stalling the sale, and show what Chatsi does with them. You get a practical plan for going live whether or not you buy.

Book a 30-minute call

Bring the part of your catalog search never solved. We will look at the questions your shoppers are already asking, show you what Chatsi does with them, and leave you with a plan either way.

Pick a time