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Read our JEGS case study

Stop losing sales to badautomotiveparts data

Your catalog team is too valuable to be manually parsing bad data. Versable gets your catalog ready for agentic (and human) commerce, automatically.

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Auto parts data is really hard to manage

Until now, it was fast or right. Versable is the first system built to be both: automotive-native intelligence running at catalog scale.

Nobody sends data you can sell

Spec sheets, PDFs, half-filled templates, and three different names for the same attribute. Someone on your team reconciles all of it by hand, every time.

Attributes aren’t a nice to have

Fitment, position, material, UPC. A marketplace rejects the listing when they are missing, and a buyer bounces when they are wrong.

Every channel wants something different

Amazon, Walmart, your biggest distributor, your own storefront. The same part in four formats, against four sets of rejection rules.

JEGS

From “we can’t onboard this brand” to live in 36 hours

JEGS has sold performance parts for 60 years and is always adding new brands. But 60–70% of new brand files arrived too incomplete to list, so good brands waited in a backlog or got turned away.

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By partnering with Versable we leverage AI to accelerate our onboarding process from weeks to days, significantly reducing costs while ensuring our customers find what they need online faster.
Gabe MendozaCEO, JEGS
  • 36 hrsFrom supplier file to live listingsBefore: days to weeks per brand
  • ThousandsParts live from brands JEGS would have rejectedBefore: those brands were turned away
  • 400KRows processed in a single monthBefore: attributes copied off vendor sites by hand

Comprehensive AI for every step of the catalog

Extraction, normalization, enhancement and images cover the whole path from raw file to live listing, and every module is fully modular, so you can run one or all four.

  1. Sources

    Structured record

    part_number
    BRK-4417
    brand
    Wagner
    position
    Front
    material
    Semi-metallic
    bore_in
    1.125
    upc
    00864417021
    01Data extraction

    Extract anything. Anywhere.

    We combine intelligent agents with resilient crawling systems that handle dynamic pages, interactive elements, bot detection mitigation, and adaptive retries.

    Perfect for easy OE research, price scrapes, or anything that used to take your team hours to do.

  2. RawNormalized
    position: "Frnt"
    Front
    material: null
    Semi-metallic
    uom: "EA/each"
    EA
    brand: "WAGNER®"
    Wagner
    bore: 1-1/8"
    1.125 in
    02Normalization

    Clean. Normalize. Standardize.

    Normalize fitment data, correct taxonomy mapping, strip HTML artifacts and resolve inconsistent attributes, then validate the result against any schema you want. We clean the chaos so your catalog is structured, compliant and retailer-ready.

  3. Enhancement fieldsWalmart template
    FieldCharacter limitsPrompt
    Title65BrandPart TypeAI
    Description800BrandPart TypeAI
    F&B5 × 160AIbullets
    03Enhancement

    Generate listings that sell.

    Start with just a part number. Generate search-optimized titles, structured descriptions, and clear feature bullets built for need-based buying, not generic marketing fluff.

    Improve discoverability, brand credibility, and consistency across your catalog.

  4. As supplied
    low-res
    cropped
    grey bg
    Marketplace ready

    same crop · same background · same margins

    04Images

    Visual consistency at scale.

    Generate consistent, marketplace-ready product imagery from limited or inconsistent inputs.

    Standardized backgrounds, batch processing, and brand-aligned rendering, so every SKU looks complete and credible.

Run your whole catalog, or just the part that’s broken

Versable can be your entire catalog operation: a system of record, AI enrichment, and syndication in one system. Or drop a single module on top of the stack you already run.

  1. 01

    Versable Catalog

    One record per part. Every attribute, fitment and asset, versioned and always current.

  2. 02

    The AI layer

    Four modules read from the catalog and write finished records straight back into it.

  3. 03

    Syndication

    The finished catalog leaves in whatever shape each channel demands, on your schedule.

    WalmartAmazoneBayYour webstoreACES / PIES

Frequently asked questions

How are you different from ChatGPT?

ChatGPT is a great generalist, but in parts, “pretty close” is a return or an abandoned cart. General models are trained on the whole internet, so they sound confident about everything and are precise about very little. We once watched someone ask an AI to copy an image exactly, 74 times in a row. It never produced an exact copy, and each try drifted further from the original. Here’s why “prompt magic” isn’t real.

We spend about half our time building the parts that aren’t AI: industry rules, standards like ACES and PIES, and validation checks every record passes before you see it. AI gives you creativity; guardrails give you confidence. And Versable works across your whole catalog at once, not one pasted row at a time. If you’re comparing vendors, these are the questions we’d ask any AI tool, including us.

Will Versable replace our catalog team?

No, and we wouldn’t want it to. A catalog manager’s job is a bundle of tasks. Some are strategic: knowing your product lines, your customers, where your coverage has gaps. Others are repetitive: copying attributes off vendor sites, reformatting files, cleaning up HTML. Versable takes the repetitive work, so your team can spend its time on the decisions only they can make. Our founder’s thoughts on where the catalog manager role is headed.

Do we have to replace our PIM or ERP?

Not at all. Versable can be your full parts data platform if you want it to be, from your system of record to AI enrichment to sending listings out to every channel. But it’s built in modules, so you can also plug in just the piece you need. Many teams start with one problem, like filling in missing attributes or getting listings ready for a marketplace, and keep everything else exactly as it is. Getting set up takes about 30 minutes.

What if our supplier data is really, really bad?

That’s what we’re for. When JEGS started with us, 60–70% of new brands sent data that needed heavy manual cleanup, and some sent nothing but a part number and a product name. The missing information usually already exists somewhere: on the supplier’s website, in a PDF catalog, on similar listings. The aftermarket never had a data shortage; it had an access problem. Versable gathers it from across the web and turns it into one clean record. How our web scraping module works.

What types of companies do you work with?

Anyone selling parts where specs and attributes are a must, not a nice-to-have. That includes retailers onboarding hundreds of brands, manufacturers sending data to their retailers, and marketplace sellers. Most of our customers are in auto parts, and we also work with companies selling HVAC, powersports and heavy-duty parts.

Why does this matter for AI shopping agents?

AI agents are starting to shop on people’s behalf: searching, comparing, and buying with no human checking the listing before checkout. That means bad data no longer just loses a sale. It creates a confident wrong purchase and a return. Walmart learned this the hard way: it pulled its in-ChatGPT shopping experience about five months after launch, citing wrong items in carts. An agent reasoning over bad data is just a faster way of being wrong. Versable makes sure your data is ready for both kinds of shoppers, agents and humans. Why agentic commerce has a blind spot.

How does pricing work?

It’s a simple monthly subscription that scales with how much data you run through Versable. Plans start at $1,000 a month. On a demo, we’ll look at your catalog together and point you to the plan that fits, with no guesswork.

How fast will I see results?

Usually faster than you’d expect. Most jobs take anywhere from minutes to a couple of days, depending on how complete your files are and how much needs to change. At JEGS, onboarding a brand used to take anywhere from a few days to over a week. Now it takes one to two days. One brand they had to turn away went live in about 36 hours with more than 1,000 new parts. Read the full JEGS story.

Can you handle large catalogs?

Yes, and the bigger the catalog, the more there is to gain. Some of our customers have millions of SKUs on Versable.

How do you protect our data?

Your product data is the backbone of your business, and we treat it that way. We never use it to train our models, and no other Versable customer can see anything you share with us. If your security team has questions, we’re happy to walk them through how we handle your data.

Bring us your messiest file

30 minutes with our founder. We can run your data live, show you what we can do, and tell you honestly if we can be helpful.

Book a demo

Pick a slot that suits you; the calendar opens right here.