Help buyers find the right products using natural language, specifications, part numbers, and real-world requirements, instead of forcing them through filters and exact keywords.
🛡️ Matched from your own catalog. When something isn’t an exact fit, it says so instead of guessing.
✓ Natural language, no exact keywords required
✓ Any catalog format, PDF, Excel, ERP, or your store
✓ Discovery to RFQ, a path buyers can follow through
Illustrative example
Buyer: I need a corrosion-resistant 4-inch hinge for an outdoor enclosure. I need 500 units.
ChatSKU: I found 3 products that match those requirements:
● 4″ Stainless Steel Butt Hinge, 316-Grade
316 stainless · 4.0 in · Marine-rated
In stock: 1,240 units · ships in 2 days
● 4″ Stainless Steel Continuous Hinge
304 stainless · 4.0 in · Outdoor-rated
In stock: 640 units · ships in 2 days
● 3.5″ Stainless Steel Butt Hinge, 316-Grade
316 stainless · 3.5 in, not 4 in · Marine-rated
Near match · In stock: 2,100 units · ships in 2 days
Matched from your catalog. Closest size shown when an exact match isn’t stocked.
B2B buyers often know a size, material, application, compatibility requirement, or quantity, without knowing the exact product name or SKU. Keyword search and filters make them work too hard to find it.
Maintenance buyer · distributor site
🔍 “corrosion resistant hinge for outdoor panel”
Filters ask for a category and a brand before a spec, so the buyer can’t search by the requirement they actually have and gives up before finding a match.
Plant buyer · manufacturer catalog
🔍 “motor bracket compatible with 3-phase 5hp”
The catalog only searches by part name, so a compatibility question returns zero results even though a match exists.
Procurement lead · industrial supplier
🔍 “bulk quantity of gaskets, high temp”
Filter menus don’t cover quantity or temperature rating together, so the buyer scrolls a long, unranked result list instead of a short, relevant one.
Facilities buyer · B2B eCommerce site
🔍 “something like our old part but rust proof”
There’s no way to ask a follow-up or compare an alternative, so the buyer emails support and waits for a reply instead of buying now.
A real-world requirement, a part number, an application, a quantity. Tap an example to watch it resolve.
Natural language “corrosion resistant hinge”
Spec “M8x25 hex bolt zinc”
Part number “part BR-2240”
Application “bracket for 3-phase 5hp motor”
Quantity “need 500 units of the high-temp gasket”
Follow-up “anything like that but rust proof?”
🔍 “corrosion resistant hinge”
RESOLVES TO
✓ 4 in 316-grade stainless butt hinge, marine-rated
1 · Real requests
Buyers describe size, material, application, compatibility, or quantity in their own words. ChatSKU parses the request and matches it to real products in your catalog.
Example: stainless hinge, corrosion resistant, around 4 inches → matched to stocked products, closest size flagged if not exact.
2 · Specs & part numbers
Whether a buyer gives an exact part number or a spec sentence, ChatSKU reads product data the same way and returns the right match.
Example: M8x25 hex bolt zinc, or part BR-2240 → both resolve to the correct SKU.
3 · Applications & quantities
ChatSKU understands what a product is used for and how much a buyer needs, so a compatibility question or a bulk request returns a relevant, ranked result instead of a long list.
Example: bracket for a 3-phase 5hp motor, need 500 gaskets → relevant matches with quantity pricing.
4 · Alternatives & follow-up
Buyers can ask a follow-up, compare an alternative, or confirm a detail before deciding, in the same conversation, without starting the search over.
Example: anything like that but rust proof? → relevant alternatives, with what’s different clearly stated.
Help buyers navigate complex catalogs without a keyword-perfect search.
Help customers find the right SKU across large, multi-brand catalogs.
Reduce friction around technical product questions your site can't answer.
Improve product discovery and cut search friction on the store you already run.
Every result comes from products you actually stock, whether your catalog lives in a PDF, a spreadsheet, an ERP, or your storefront.
When the closest product isn't an exact fit, ChatSKU says so plainly instead of presenting it as a match.
It never fabricates a spec or a product that doesn't exist in your catalog. If a product isn't stocked, it says so.
Traditional search asks the buyer to already know your keywords. ChatSKU asks the buyer to describe what they need.
What a buyer needs
Traditional search
ChatSKU
Understand a spoken requirement
✕ requires exact keywords
✓ understands natural language
Match by specification, not just name
✕ buyer must know product name
✓ matches on spec, size, material
Recognize part numbers and applications
✕ limited or none
✓ both, in the same query
Return relevant results
✕ long, unranked lists
✓ narrows to relevant matches
Answer a follow-up question
✕ no
✓ conversational follow-up
Suggest an alternative
✕ no
✓ when a close match differs
Work across catalog formats
✕ tied to how the site is built
✓ PDF, Excel, ERP, eCommerce
Move a buyer toward a quote
✕ separate, manual step
✓ a path buyers can follow
Same request as the hero: a buyer needs a corrosion-resistant hinge for an outdoor enclosure, around 4 inches. Here’s why each match was returned, and why one wasn’t exact.
316 stainless resists corrosion in outdoor and marine environments. Size matches the buyer’s 4 inch request exactly.
304 stainless, outdoor-rated. Included as a lower-cost option, with the grade difference from 316 stated plainly.
Same corrosion resistance, but the closest stocked size is 3.5 inches, not 4. Flagged as a near match, not presented as exact.
1
PDF, Excel, ERP, or the store you already run.
2
Understand your product data as it already exists.
3
In their own words, spec, or part number.
4
Ranked, relevant matches from your real catalog.
5
Buyer asks questions, confirms fit, requests a quote.
FROM PRODUCT SEARCH TO RFQ
RFQ is a downstream outcome of a good search, not the main event on this page.
Search
→
Find product
→
Ask questions
→
Confirm requirements
→
Request quote
We load a slice of your SKUs and send you the live link.
Business email only. We reply with the demo link, once.
No. ChatSKU goes live with one line of embed code on the site you already run. There is no replatform and no separate ERP project.
AI product search for B2B lets buyers describe what they need in plain language, by specification, application, or part number, instead of forcing them through exact keywords and filters.
ChatSKU connects to your product catalog, understands your product data, and matches buyer requests, however they’re phrased, to the right products from what you already stock.
Yes. Buyers can describe size, material, application, compatibility, or quantity in their own words, and ChatSKU matches that request to relevant products.
Yes. ChatSKU works with PDF, Excel, ERP, and eCommerce catalogs, including large and complex product ranges.
Yes. Buyers can ask about specifications, confirm details, and follow up with additional questions before deciding.
Yes. Once a buyer finds and confirms the right products, ChatSKU can guide them toward requesting a quote.
Buyers describe what they need. ChatSKU matches it to real products in your catalog, day or night, on the store you already run.
Ready within one business day, in most cases.
