Launching today
Kandid is an AI-powered sales assistant for consumer brands that boosts conversions by guiding shoppers, recommending products, answering queries, and upselling like a trained store rep - all in real time, 24x7, across your website.
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Kandid
@pulkitgarg Hey! Congrats on going live, upvoted, we launched today as well and your feedback would help.
Kandid
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. 🚀
@bhavyaaurora very intersting product idea for ecomm companies...this use case can also be applicable to retailer apps and distributor apps for better B2B traction.
Tidyread
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. 🤔
Kandid
@jaredl Thanks for the great question! 🙌
We attribute sales using session-level tracking with last-touch attribution. Each conversation session is linked to the user’s journey, so if a purchase happens in that same session, it’s tied back to Kandid.
For accuracy, we also support conversation ID matching via platform integrations (Shopify, WooCommerce, etc.) to verify engagement against actual transactions. This helps us cross-check and avoid over-attribution.
On the analytics side:
We are in the process of building integrations with GA4, Segment, or other analytics tools so brands can measure Kandid’s performance in their existing dashboards.
We provide A/B-testable uplift reports, letting brands compare revenue and conversion metrics with/without Kandid live, so the impact is statistically verifiable.
And not just this, we provide customer insights and intelligence also from millions of conversations that goes beyond basic keyword analysis
The goal is transparency, so brands know exactly how much revenue Kandid is driving, not just estimated influence.