Sarthak

A sale is great, but a relationship is better. For D2C brands, repeat customers are the lifeblood of the business. It’s not enough to get that one purchase, you want to keep the conversation going (literally).

And when customers reply (which they’re much more likely to do in a chat), you have an opening to deepen the relationship, solve any issues, learn about their preferences, and make them feel valued.

A sale is great, but a relationship is better. For D2C brands, repeat customers are the lifeblood of the business. It’s not enough to get that one purchase, you want to keep the conversation going (literally).

Conversational commerce gives you a channel to nurture customers long after the first sale.

In chat, sales and support are just two sides of the same conversation. The traditional divide between “customer service” and “sales” is melting away especially for WhatsApp since it emerged as a business conversational channel.

It helps the customer achieve whatever goal they have at that moment. This means your AI system should be equipped to handle both inquiries about features and questions about order status, and even upsell if required seamlessly.

In chat, sales and support are just two sides of the same conversation. The traditional divide between “customer service” and “sales” is melting away especially for WhatsApp since it emerged as a business conversational channel.

When a customer pings you on WhatsApp, they might start with a product question (sales) and then segue into an issue with their last order (support) all in one chat. They don’t think, “Now I’m in a different department,” and neither should your AI.

Conversational AI systems needs emotional intelligence, not just a knowledge base. Lately, I’ve been spending a lot of time building wapikit.com into something more than just another support bot.

Think about a customer who’s upset about a delayed order: a bot with emotional intelligence will acknowledge the frustration (“I’m really sorry about that delay, I know it’s frustrating”) before providing a solution.

Conversational AI systems needs emotional intelligence, not just a knowledge base. Lately, I’ve been spending a lot of time building wapikit.com into something more than just another support bot.

Not just a system that replies. But something that understands. Understands tone, reads between the lines, and responds with the kind of empathy you’d expect from a good support teammate. Customer communication isn’t just about facts. it’s about feelings.

Once you get yourself into customer-led development, there’s no going back. The feature mindset gets quietly defeated… and you stop building what you want. You start building what they need.

They’ll casually say things like: “Sarthak, please add this button here, I have to go all the way back just to create this.” “Can you enable search here? I need to send a message quickly.”

Once you get yourself into customer-led development, there’s no going back. The feature mindset gets quietly defeated… and you stop building what you want. You start building what they need.

A few of our early customers have been with us for just about a month. In that time, I’ve already had 4–5 calls with each of them.

Building a great customer experience is becoming very crucial with the rise in conversational commerce. And it’s not just about responding, it’s about an immediate and helpful reply that makes a customer feel valued and increases your brand loyalty.

This isn’t just about technical ambition. It’s about creating happy customers, the relaxing breath a customer takes once their important query gets resolved in a few seconds… even when your whole team was on vacation.

Building a great customer experience is becoming very crucial with the rise in conversational commerce. And it’s not just about responding, it’s about an immediate and helpful reply that makes a customer feel valued and increases your brand loyalty.

A customer comes in, either looking for some product recommendation or facing a support issue and gets an instant, context-aware, helpful, and brand-aware reply in your brand’s tone. There’s a psychological desire in humans to be responded to promptly, with attention and care.

Building a great customer experience is becoming very crucial with the rise in conversational commerce. And it’s not just about responding, it’s about an immediate and helpful reply that makes a customer feel valued and increases your brand loyalty.

Earlier, you could blame poor CX on human limitations. But now? With AI, it’s scalable to deliver the best with the least. Especially for D2C brands, here are a few CX trends that are already reshaping the game:👇

✅ AI as a team member Not just a tool, but something that thinks like you, talks like your brand, and works 24/7. ✅ Personalization at scale Every message should feel personal, even if sent to thousands.

Earlier, you could blame poor CX on human limitations. But now? With AI, it’s scalable to deliver the best with the least. Especially for D2C brands, here are a few CX trends that are already reshaping the game:👇

Your are losing huge revenue opportunity. If you’re still not leveraging conversational AI and your brand still sounds like robot. We built wapikit.com so your replies never feels robotic and adapts to intent without losing your brand’s voice or needing to hire a huge team.

Today we shipped one more major upgrade to @wapikit - our new Knowledge Base builder. Helping us move one step closer to building an AI system that sells and supports like a founder would with intent, clarity, and heart.

Instead of plugging in AI to what we’ve been doing for years, rethinking the experience using AI as a brain, not just as a workflow executor of pre-defined steps.

Today we shipped one more major upgrade to @wapikit - our new Knowledge Base builder. Helping us move one step closer to building an AI system that sells and supports like a founder would with intent, clarity, and heart.

The whole idea of AI is to act like a human brain, that’s what we envision, right? Yet in conversations, we keep guiding it like a child. Sure, there are fundamental limitations today, but still, we shouldn’t be packaging it inside static flows.

Today we shipped one more major upgrade to @wapikit - our new Knowledge Base builder. Helping us move one step closer to building an AI system that sells and supports like a founder would with intent, clarity, and heart.

Our goal? To build an AI system that sells and supports like a founder would with intent, clarity, and heart. Not just scripts and rules.

The first time I sent a WhatsApp product campaign, I wrote a JavaScript script, ran it manually (fought the Business API like a boss battle), and still, we saw a 50% sales spike.

Most D2C brands still treat WhatsApp like “just another channel.” But it’s probably the most underused conversion engine they have.

The first time I sent a WhatsApp product campaign, I wrote a JavaScript script, ran it manually (fought the Business API like a boss battle), and still, we saw a 50% sales spike.

Launching Meta Product Catalog Integration ✅ Over the past two weeks, I’ve been speaking with D2C brands, and as a result, we’ve added Meta Catalog Product Integration to WapiKit!

If you are a D2C brand and still not leveraging WhatsApp to increase your revenue with the rise in social commerce and conversational selling with complete automation.

Launching Meta Product Catalog Integration ✅ Over the past two weeks, I’ve been speaking with D2C brands, and as a result, we’ve added Meta Catalog Product Integration to WapiKit!

This is what it allows you to do: - Sync your meta catalog directly with WapiKit. - Broadcasts product messages.