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Schedule a callHow We Built Stella, an Autonomous AI Commerce Agent
Why scripted chatbots stall at checkout, and how we engineered an agent that sells for you
Autonomous checkout, not just chat
Native eSewa, Khalti & Fonepay integration
Deploys on Daraz, Shopify & WooCommerce
Multi-turn conversations in Nepali and English
Why we built Stella
Most “AI shopping assistants” are still decision trees wearing a chat bubble—the moment a shopper asks something unscripted, the conversation dead-ends and support has to take over. That's a lost sale outside business hours, and Nepali merchants had no agent built around how their customers actually pay. We built Stella to close that gap: an agent that can carry a real conversation and finish the transaction itself.
The problem
Scripted chatbots break the moment a shopper asks something unscripted, and support can't cover every hour a store is open. Every dead-ended conversation is a sale that quietly walks away, and there was no agent on the market built for how Nepali shoppers actually pay.
What scripted bots miss:
- • Any question outside the script ends the conversation instead of moving toward checkout
- • No coverage outside business hours, so buying questions go unanswered
- • Carts get abandoned quietly, with no nudge at the moment that matters
- • Most agents on the market aren't built for eSewa, Khalti, or Fonepay
How we built it
We built Stella as an autonomous agent rather than a decision-tree bot: a large language model grounded in the merchant's product catalog and business rules, so it can answer unscripted questions, recommend products, handle objections, and complete the transaction itself. Nepal payment rails (eSewa, Khalti, Fonepay) were built in from day one alongside Stripe, and the agent ships as a drop-in layer on Daraz, Shopify, WooCommerce, and custom storefronts.
Catalog-grounded conversation
Stella's model is grounded in the merchant's live product catalog and business rules, so it recommends real inventory and answers real policy questions instead of hallucinating either.
Nepal payments built in from day one
eSewa, Khalti, and Fonepay integrate at the same level as Stripe—payment wasn't bolted on after the fact, it shaped how the checkout flow was designed.
Autonomous checkout, not a handoff
Stella manages the cart, applies discounts, and processes payment inside the conversation—it doesn't hand the shopper off to a separate checkout page.
One agent, multiple storefronts
The same agent deploys as a drop-in layer on Daraz, Shopify, and WooCommerce, or through a REST/GraphQL API for a custom storefront.
What shipped
Key engineering decisions
Ground the model in real inventory: Recommendations and answers come from the merchant's actual catalog, not a general-purpose model guessing.
Local payment rails aren't an afterthought: Designing for eSewa and Khalti from the start avoided retrofitting a checkout flow built only for Stripe.
Finish the transaction, don't just chat: An agent that recommends but can't check out still loses the sale to friction—Stella closes the loop itself.