AI Assistant for Ignion

The challenge

Ignion specializes in developing customized antennas for small-sized IoT devices. Selecting the optimal antenna for a specific use case and its deployment requires a high level of expertise.

To assist clients in the design process, Ignion hosts a web platform called Oxion, where users can simulate antenna designs. However, even with the tool, the design process remained complex, and many clients continued to seek help via email. 

Objectives

The main goal is to improve the user experience and make the design process more efficient. 

To do so, an AI assistant to support Ignion’s clients throughout the antenna design process has been implemented. This assistant has access to antenna design literature, their specifications and users’ design simulations.It communicates in natural language through a chat interface and handles complex design challenges and basic design decisions.

While assistance is focused on Ignion’s product offerings, complex cases are escalated to human experts, and high-value clients are identified for further engagement.

How have we done it?

• Agentic AI
• Generative AI
• Multi-agent system
• RAG
• LangGraph
• ChatGPT

Results provided

The AI assistant has significantly increased the popularity of Ignion’s platform. By making the platform accessible to novice users without domain expertise, it has opened up new business opportunities and boosted sales. Additionally, human support can now be focused on more complex cases and high-value prospects, reducing costs and improving conversion rates.