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SERA Studio enables sellers to create AI powered commerce workflows with human in the loop control.
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AI-powered analytics that transform store data into actionable business decisions.
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Create promotional banners, images, and AI-generated videos in vertical or landscape formats.
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SERA Buyer Mode acts as an AI shopping concierge, connecting users to relevant stores, products, and offers instantly.
Inspiration
Modern ecommerce remains fragmented. Merchants often switch between store builders, analytics dashboards, inventory systems, customer communication tools, and marketing platforms just to run a single business.
While AI can generate content or answer questions, most solutions still require users to manually coordinate the actual work.
We asked a different question: What if AI could become an active participant in commerce rather than just an assistant?
This idea became SERA a Smart Ecommerce Reasoning Agent that helps users create stores, generate content, analyze performance, discover products, and automate operations through natural language.
What We Built
SERA is an AI native commerce platform powered by Gemini and Google Cloud.
The platform combines multiple AI capabilities into a unified commerce experience:
AI Store Creation
Seller Operations Assistant
Buyer Shopping Concierge
Product Content Generation
Business Analytics
Autonomous Task Execution
For sellers, SERA can help create and manage storefronts, generate product assets, monitor business performance, and automate operational tasks.
For buyers, SERA acts as an intelligent shopping concierge that discovers relevant stores, products, and promotions through conversational interactions.
Under the hood, autonomous agents coordinate reasoning, tool execution, memory, and workflow orchestration to complete tasks across the platform.
How It Works
Users describe a goal using natural language.
Gemini interprets intent and generates an execution strategy.
Agent orchestration coordinates the required actions.
MCP tools and integrations execute real-world operations.
Results are delivered back through the SERA experience.
Whether creating a store, generating marketing content, analyzing business metrics, or discovering products, users interact through conversation while AI handles the complexity.
Architecture
Gemini for reasoning and planning
Google Cloud for infrastructure and orchestration
MongoDB for memory and application state
MCP Tools for external integrations
Playwright for browser-based automation
React for the commerce experience
Challenges We Faced
Designing reliable multi agent workflows
Balancing autonomy with user control
Integrating diverse external tools through MCP
Maintaining state and memory across complex tasks
Building a complete commerce experience within hackathon constraints
What We Learned
We learned this project reinforced a key insight:
The future of commerce is conversational, agentic, and autonomous. We learned that successful AI systems require more than powerful models. They require orchestration, memory, tool integration, and the ability to execute meaningful actions on behalf of users.
Most importantly, we discovered that users care less about interacting with AI and more about achieving outcomes.
Future Vision
We envision SERA evolving into a network of specialized commerce agents capable of operating across multiple business domains.
Future versions will support:
Multi-agent collaboration
Autonomous business operations
Expanded MCP ecosystems
Cross-platform commerce automation
End to end AI operated workflows
Our long-term vision is simple:
A future where anyone can build and operate a digital business through conversation.
Final Note
SERA is more than a chatbot and more than an ecommerce platform.
It is an exploration of what becomes possible when reasoning agents, commerce tools, and cloud infrastructure work together.
You describe. SERA builds. AI sells. 🚀
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