Kandid
Consultative AI salesperson for ecommerce
442 followers
Consultative AI salesperson for ecommerce
442 followers
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.
Incerto
I enjoyed the simple walkthrough demo :)
All the very best guys.
Kandid
@shiva_pundir Glad you liked it! :)
Fakeradar
Congratulations on the launch! How long does it typically take to train a neural network on the product range of a single online store? How much time from a live employee does it require?
AltPage.ai
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.
Kandid
@joey_zhu_seopage_ai Absolutely! It’s trained not just on your catalog and policies but also on industry knowledge and the market landscape. So if someone asks for deeper comparisons, it can handle them like a real salesperson. For example, on a skincare site it knows ingredients and routines, on an electronics shop it can compare specs, and on a nutrition brand it can explain supplement benefits – always steering the buyer back to your products.
Congratulations on the launch, Pulkit! 🎉 Kandid sounds like a game-changer for D2C brands. I'm curious - how does Kandid differentiate itself from other AI sales tools in terms of understanding brand-specific nuances and customer behavior patterns? And what's been the most surprising insight you've discovered about customer interactions since launching?
Agnes AI
Love the concept—having a 24/7 sales rep that never forgets an upsell sounds amazing. How does Kandid handle nuanced sizing or fit questions when a shopper is torn between two nearly identical variants? And on the analytics side, can merchants see which objections the bot most often overcomes so they can refine real-world product pages?
Kandid
@cruise_chen For sizing and fit questions — especially when customers are deciding between similar variants — Kandid taps into the brand’s own product data, size charts, and any additional fit guidance the brand provides (like “runs small” or “ideal for broad shoulders”). It can also use conversational probing to clarify preferences (e.g., “Do you prefer a looser fit?”) before making a recommendation.
On the analytics side, yes — merchants get visibility into which questions, objections, or concerns the assistant most often addresses before a sale happens. That means if the bot is repeatedly clarifying “Is this waterproof?” or “Will this match my skin tone?”, the brand can take that insight and refine product pages, descriptions, or even marketing content.
The idea is for Kandid to not only convert more customers in real time, but also give brands the intelligence they need to improve the product and customer experience.
ZapDigits
Nice one.. Congrats guys.
Kandid
@malithmcrdev Thanks a bunch!
Trace
great launch guys!!
Kandid
@timcha Thanks a lot!