OrbitCX

Inspiration

We noticed that most businesses still rely on reactive chatbots that just wait for customers to reach out — by then, it’s often too late. People get overwhelmed by choices, forget their carts, and brands lose potential revenue. That’s what inspired us to build OrbitCX — an AI agent that doesn’t just respond but takes the first step: remembering preferences, guiding decisions, and actively driving sales like a real digital salesperson.

What it does

OrbitCX is an autonomous customer experience agent that turns passive website visitors into loyal customers. It remembers each user’s past interactions, proactively starts conversations, recommends products based on preferences, nudges users to complete purchases, recovers abandoned carts, and even follows up — all without human involvement. Think of it as a 24/7 AI sales and retention engine that never sleeps.

How we built it

We built OrbitCX using a multi-agent architecture with LangGraph to orchestrate different AI agents, each specialized for tasks like memory, recommendations, or cart recovery. The OpenAI LLM powers natural conversations, while RAG pipelines ensure responses are grounded in real-time product and user data. We use FastAPI for backend APIs, PostgreSQL for storing profiles and orders, and an event-driven system to trigger proactive actions. On the frontend, a React/Next.js chat widget integrates seamlessly into any e-commerce site.

Challenges we ran into

One of the biggest challenges was designing the agent to act proactively without being intrusive — striking that balance was tough. Managing memory across sessions and ensuring seamless orchestration between multiple sub-agents also took a lot of iteration. Finally, building a secure way for agents to perform real-world actions like placing orders required careful design of the tool access layer.

Accomplishments that we're proud of

We’re proud that OrbitCX goes far beyond a typical chatbot — it thinks, remembers, and acts autonomously. It can proactively recover carts, upsell complementary products, and even personalize conversations based on a user’s previous visits. Turning customer service from a cost center into a profit generator is something we’re really proud of.

What we learned

We learned that the future of AI assistants isn’t just about responding better — it’s about acting smarter. Building a truly autonomous agent requires deep orchestration, real-time data grounding, memory management, and a strong focus on user experience. We also realized how impactful proactive engagement can be for both revenue and customer satisfaction.

What's next for OrbitCX

Next, we’re working on one-click integrations with platforms like Shopify and Slack to make deployment effortless. We plan to introduce voice and multimodal capabilities, predictive customer health scores, and a marketplace for third-party agent skills. Ultimately, our vision is to help businesses build a fully autonomous customer company — where AI drives engagement, retention, and growth end-to-end.

Built With

• azure
• fastapi
• langgraph
• mcp
• postgresql
• vectordatabase