For years, the internet trained us to think commerce should happen a certain way.
A customer visits a website, browses products, adds items to a cart, checks out, and receives an order confirmation. That flow became the standard model for modern e-commerce, and platforms like Shopify helped make it accessible to millions of businesses around the world.
But in many parts of Africa, MENA, and South America, commerce evolved differently.
Not because merchants rejected traditional e-commerce, but because consumer behavior, infrastructure realities, and platform adoption pushed things in another direction.
For many businesses, Instagram became the storefront, and WhatsApp became the checkout flow.
Products were discovered through posts, stories, status updates, influencer mentions, or forwarded messages. Questions happened in DMs. Negotiation happened in chats. Payments were confirmed with screenshots. Delivery coordination happened through voice notes and pinned locations.
The infrastructure often looked informal, but the behavior itself was very real.
In many ways, these markets skipped parts of the traditional e-commerce entirely and moved directly into conversational commerce. The interesting part is that most people didn't think of it that way. It was simply the most practical way to sell online.
Websites required additional cost, maintenance, technical knowledge, and in some cases, customer trust that hadn’t fully developed yet. Social platforms, on the other hand, already had attention. They already had engagement. More importantly, they already had people.
So businesses adapted around where customers naturally spent their time.
And for a while, that worked beautifully.
Conversations made commerce feel more human again. Customers could ask questions naturally instead of navigating rigid systems. Merchants could build trust directly. Relationships became part of the buying experience itself.
But over time, the cracks started to show.
The same conversational model that made selling feel personal also made scaling difficult.
Merchants found themselves manually handling sales, support, payment verification, follow-ups, delivery coordination, customer retention, and upselling all at once. Everything lived inside conversations.
One customer asks for pricing. Another wants a recommendation. Someone says they've made payment. A returning customer wants to reorder something they bought months ago. Another person is waiting for delivery updates.
While manageable at a small scale, these operational pressures compound very quickly as businesses grow.
And eventually, the problem stops being demand; it becomes continuity.
Because the issue isn't that conversational commerce exists. In emerging markets, conversational commerce is already the default behavior for millions of people.
The issue is that the systems supporting it still depend heavily on manual human effort.
That’s where the idea of agentic commerce starts becoming important.
A lot of conversations around agentic commerce today are still centered around global AI narratives — autonomous shopping agents, AI assistants making purchases on behalf of users, or wrappers built around models like ChatGPT, Claude, and Gemini.
But from the perspective of many emerging markets, the opportunity looks different.
The immediate problem isn’t:
“How do we get AI to buy products for people?”
It’s:
“How do we help merchants operate conversational commerce businesses efficiently without everything breaking as they grow?”
That’s a very different problem. And it leads to a very different idea of what commerce infrastructure should actually look like.
Agentic commerce, in this context, isn’t really about replacing merchants or removing the human side of selling. It’s about preserving the human quality of conversational commerce while removing the operational weight underneath it.
It means building systems around conversations that can:
- understand customer intent,
- remember conversational context,
- assist with recommendations,
- confirm payments,
- continue support conversations and escalate to human support if necessary,
- intelligently follow up on sales opportunities,
- coordinate fulfillment effectively, and help merchants operate more efficiently and consistently over time.
Not as static chatbots repeating scripted responses, but as systems actively helping move commerce forward in the background.
Because the real shift happening isn't just technological. It’s behavioral.
Commerce is increasingly happening in places where people already spend their time. Discovery happens in feeds. Decisions happen in conversations. Relationships happen through messaging. Retention happens through ongoing interactions instead of isolated transactions.
And slowly, the systems supporting commerce need to evolve around that reality too.
That’s part of what makes conversational platforms so powerful in emerging markets. They collapsed multiple layers of interaction into one environment. Discovery, communication, trust-building, payment coordination, and support all happen in the same place.
The problem is that merchants are still stitching most of it together manually.
And manual systems eventually hit a ceiling.
For years, many businesses rented visibility from platforms while owning very little of the actual customer relationship. Marketplaces controlled discovery. Advertising platforms controlled targeting. Social platforms controlled reach.
But conversational commerce creates an opportunity for something different.
When businesses can maintain persistent customer context, understand purchasing behavior over time, and build direct conversational relationships with buyers, they begin accumulating something more valuable than short-term visibility.
They start building merchant intelligence.
That shift is important, especially for smaller businesses that historically never had access to sophisticated customer systems, operational tooling, or advanced commerce infrastructure.
And in many ways, emerging markets may end up shaping the next phase of commerce faster than expected. This is precisely because the essential behavior already exists: people are comfortable buying through conversations, businesses operate socially, and commerce is already embedded into the interaction itself.
The infrastructure simply hasn't caught up yet.
Commerce is becoming more conversational, more contextual, and more continuous. The businesses that adapt won’t necessarily be the ones with the biggest storefronts or the largest advertising budgets.
They’ll be the ones building systems around how people already interact naturally.
That’s the direction we’re building toward with Bloopy.
Not as another storefront. Not as another AI chatbot. But as infrastructure for the conversational layer commerce is already moving toward.
