Kandid - Consultative AI salesperson for ecommerce

Hey Product Hunt 👋

I’m Bhavya, co-founder of Kandid, and I’m super excited to finally share this with you.

Kandid was born out of a simple frustration we saw in D2C e-commerce — online shoppers today still have the same experience they did 10 years ago. They land on a site, click through a catalogue, maybe read some reviews, and if they’re lucky, they find the right product. But the human touch of an in-store salesperson, someone who can listen, guide, and recommend, is missing.

With Kandid, we wanted to bridge that gap. Our AI-powered sales assistants engage customers in real time, understand their needs, and guide them to the perfect product — all while staying true to the brand’s personality. We’ve seen brands use it to:

• Increase conversion rates by guiding hesitant shoppers to the checkout

• Improve AOV with intelligent upselling that feels natural, not forced

• Reduce support load by automating repetitive queries without losing the human feel

What’s been most rewarding is watching brands light up when they see the impact - more sales, intelligent upsells, happier customers, and a shopping experience that actually feels personal again.

Would love to hear your thoughts, feedback, and even crazy feature ideas. This is just the start for us, and we’re here to make online shopping as warm and effective as the best in-store experience you’ve ever had. 🚀

Love the 6–10% revenue claim — impressive. How does Kandid attribute sales it drives: session-level tracking, last-touch, or via UTM/order matching? Can it push events to GA4/Segment/your analytics and produce A/B-testable reports for uplift? Curious about accuracy of revenue attribution. 🤔

Congrats on the launch, this looks great! One small thing, it would be great to have a streamed response instead of waiting for the chat response to load completely.

Amazing product! Definitely going to use this for my kids’ product store. The demo absolutely blew me away!

Sales processes are always a real pain for consumer brands. Kandid promises to help with that with its AI powered solution. Definitely something that’s needs trying.

Congrats to the team behind Kandid for solving a real problem and for the launch 🚀

Interesting approach to AI sales. Curious how Kandid handles data privacy, consent, and avoids misleading claims while boosting conversions.

 This looks great. It could definitely increase sales and be useful for many industries. for instance, I imagine what it could do in the travel and tourism industry. Does it accompany the customer all the way to the checkout/payment process? or does it stop at the selling point. I ask this because I know that % of abandoned shopping carts are a things.

Nice one.. Congrats guys.

No way—an AI salesperson for ecommerce? That’s genius! My shop could seriously use help guiding buyers. Does it handle complex product questions, too? This feels like a game changer.

great launch guys!!

Kandid brings the in-store experience online an AI sales assistant that guides, recommends, and upsells like a pro. Real-time, 24/7, across your site. Consumer brands finally get a rep that never sleeps.

I have been seeing a lot of good buzz around Kandid, Congratulations on the launch team Kandid :)

Hi PH community! I’m one of the developers at Kandid, and I want to share the side of this product that’s been the most exciting for me - making something that’s both AI-powered and brand-controlled.

Most AI tools feel like black boxes - you plug them in, they do their thing, but you can’t really shape them. With Kandid, we took the opposite approach. The AI does the heavy lifting - understanding shopper intent, answering questions, and upselling intelligently but the brand decides exactly how it behaves. You can:

- Set the tone and personality so it sounds like your brand, not “just another bot”

- Define custom conversation flows for different customer types

- Enable or disable features like upselling, cross-selling, or guided product discovery

The intelligent upselling feature was my personal baby. It doesn’t just randomly suggest products, it understands context. If a customer’s buying sunscreen, it might suggest a moisturizer with matching SPF protection. If they’re picking a dress, it could offer matching accessories.

As a builder, it’s rare to create something where brands enjoy tweaking and personalizing the AI - but here, that’s been one of the most common bits of feedback. Would love to hear how you’d customize your own AI sales assistant!

Hey everyone 👋

I’m part of the dev team behind Kandid, and my focus has been on the tech architecture and making sure our AI feels both powerful and practical for brands to adopt. From the start, we built Kandid to be AI-enabled from the ground up - no bolt-ons, no clunky integrations.

That meant we could:-

• Train it on a brand’s product data and FAQs in hours, not weeks.

• Ensure it plugs into different e-commerce stacks without headaches.

• Build in analytics that actually show which conversations lead to sales.

A few features I’m particularly proud of:

1. Natural upselling and cross-selling that feels like a friendly suggestion, not a pushy salesperson

2. Full autonomy for brands to customize tone, recommendations, and even journey paths.

3. Revenue attribution so you know exactly how much the assistant is contributing to your sales The biggest challenge was balancing AI intelligence with brand safety.
   

We didn’t want an assistant that “goes rogue” or pushes products in ways the brand wouldn’t approve. The result is an AI assistant that’s smart, on-brand, and constantly learning, without ever taking the brand out of the driver’s seat.

Excited to see what industries beyond D2C might use Kandid in the future. If you’re building something similar or thinking about AI in sales, I’d love to swap notes!

Hey everyone 👋

I’ve been actively working on Kandid’s growth since the very beginning spending a lot of my time in conversations with brands, understanding their challenges, and figuring out how we can solve them better. Over time, I’ve seen a clear pattern: even the most successful e-commerce brands, once they scale, often have conversion rates as low as 1–2%. That’s a huge gap when you’re driving thousands of visitors every day.

The reason Kandid works for our customers is because it tackles that exact gap. By engaging visitors in real time, understanding their needs, and recommending the right products, it consistently lifts conversions, average order value, and revenue.

I’ve seen this impact firsthand:

• A skincare brand handling ~15,000 interactions a month converts 17% of those chats into sales — adding ~$50K in monthly revenue.

• A consumer gadgets brand converts 15% of ~4,000 interactions a month — generating ~$22K in additional monthly sales.

• Another skincare & wellness brand sees 21% conversion from its ~3,900 monthly interactions, with a 1.3x higher average order value.

Across all brands we work with, Kandid contributes 5–8% of their total website revenue and lifts AOV by 27–32% through smart upselling generating $4.8M+ in net revenue to date for our partners.

It’s been incredibly rewarding to watch customers go from struggling to convert traffic into sales to seeing a meaningful chunk of their revenue coming from these conversations. Still a lot more to build, but we’re excited about the road ahead 🚀

This is super cool! Congrats with the Launch!

Congrats on the launch!