Developing an AI Customer Engagement Strategy for an Industrial Robotics Company
CMES AI Chatbot
OVERVIEW
CMES Robotics, an AI robotics company specializing in AI and industrial automation, needed a more accessible way to communicate its technologies and solutions. Our team developed an AI-powered chatbot that helps users explore the company’s products, services, and resources through natural language conversations. Designed with a user-centered approach, the chatbot simplifies technical information, improves information discovery, and creates a more approachable experience for customers, partners, and stakeholders.
ROLE
Project Manager, AI Developer
TEAM
Alex C. (CEO), Seungji H., Jihye B., Jiming H.
DURATION
8 Weeks
SOFTWARE
WordPress • PHP • JavaScript • REST API • OpenAI API • Figma
SPONSORED BY
PROBLEM
CMES Robotics offers complex AI-powered manufacturing and logistics solutions, but its information-heavy website made it difficult for potential customers to quickly find relevant products or request support.
We designed and developed an AI chatbot that delivers instant product guidance, answers technical questions, and helps convert website visitors into qualified business leads.
Information-heavy product pages that overwhelmed visitors
No customer support outside business hours
High visitor drop-off before contacting the company
Limited understanding of customer interests and purchasing intent
SOLUTION
CMES Robotics offers complex AI-powered manufacturing and logistics solutions, but its information-heavy website made it difficult for potential customers to quickly find relevant products or request support.
We designed and developed an AI chatbot that delivers instant product guidance, answers technical questions, and helps convert website visitors into qualified business leads.
SYSTEM MECHANISM
SYSTEM ARCHITECTURE DIAGRAM
SYSTEM ARCHITECTURE DIAGRAM
TECHNICAL CONTRIBUTIONS
REFLECTION
Building an AI chatbot for an industrial robotics company taught me that designing AI products extends far beyond connecting a language model.
The real challenge was translating highly specialized technical knowledge into conversations that felt intuitive for first-time visitors while maintaining accuracy and guiding users toward meaningful business outcomes.
Serving as both Project Manager and Developer also strengthened my ability to balance technical implementation with stakeholder communication, ensuring that engineering decisions consistently supported broader product and business goals.