Buystocklot
AI wholesale marketplace for stocklots & surplus trading
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Loy Khawam

Buystocklot 2.0 - AI-powered B2B marketplace for wholesale stocklots

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Buystocklot is back — completely rebuilt with AI at its core. What's new: • Bix Match — AI that automatically matches buyer requests with seller stock • KYB-verified sellers via Persona (same platform used by LinkedIn & Etsy) • RFQ Board — post sourcing requests, get quotes from verified suppliers • Encrypted B2B messaging • 0% commission — we never take a cut Built for serious wholesale traders. UAE-based, globally connected. Free to join.

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Loy Khawam
Maker
📌
Hey Product Hunt! 👋 Two years ago, we launched Buystocklot as a simple wholesale directory. It worked, but it wasn't enough. So we went silent and rebuilt everything from scratch. The problem we saw: wholesale trading is still stuck in the WhatsApp/email era. Buyers spam groups looking for stock. Sellers have no way to reach verified buyers. There's zero trust, no verification, and deals fall through constantly. Our solution: an AI-powered marketplace that actually works. Here's what we built: 🎯 Bix Match — Our AI scans every listing and buyer request, then matches them automatically. You get notified when there's a deal waiting for you. 🔒 KYB Verification — Every seller is verified through Persona (the same platform LinkedIn and Etsy use). No anonymous businesses. 📋 RFQ Board — Buyers post exactly what they need. Sellers respond with quotes. Direct connections, no middlemen. 💰 Zero commission — We don't take a cut of your deals. Ever. We're based in the UAE and serving traders across Europe, Middle East, Africa, and Latin America. Would love your feedback — what would you want to see in a wholesale marketplace? 🙏
Ignacio Borrell

How does the Bix Match AI handle cases where a buyer's request is vague or spans multiple product categories? Congrats on the rebuild!

Loy Khawam
Maker

@borrellr_ Great question, Ignacio! Really appreciate the kind words!

So Bix handles vague and multi-category requests in a few ways. First, it goes beyond keyword matching. If a buyer says "I need summer fashion stock for my boutique," Bix understands that could mean clothing, footwear, and accessories, and surfaces relevant listings across all those categories.

Each match also gets a relevance score. For vague requests, Bix casts a wider net but ranks results by how closely they align with the buyer's intent, purchase history, and saved preferences.

When a request is too broad, like "I want wholesale products," Bix asks smart follow-up questions in chat: What categories are you interested in? What's your typical order size? This narrows things down without making the buyer fill out a long form.

And the best part is it learns over time. The more a buyer interacts (views, saves, sends offers), the better Bix gets at understanding what they actually want. Someone who consistently looks at Grade A used clothing in Europe will get those matches prioritized automatically, even if their initial request was vague.

We're continuously improving the matching algorithm. The goal is to make finding the right deal feel effortless, no matter how specific or broad the request is.

Nasim S

@borrellr_ Thanks! Really appreciate it. I'm Nas from Buystocklot.

Bix is built to handle those broader or slightly vague requests without making things harder for the buyer. Instead of relying just on exact keywords, it looks at the overall intention behind what someone is searching for. So even if a request spans multiple categories or isn’t super specific, it can still find relevant listings that actually make sense.

On the buyer side, rather than scrolling through endless stocklots, you start seeing the right deals come to you as they’re listed.

For sellers, it helps fine-tune listings, suggest better pricing, and connect them with the right buyers more quickly.

Also, it keeps improving over time. The more people use it, the better it gets at understanding what buyers mean, even when they’re not totally precise.