Ignite Solutions with UX design expertise, met a tight deadline for an impactful design to launch the product at a prestigious international exhibition
Industrial IoT solutions
INDUSTRY
India
COUNTRY
OVERVIEW
EcoAxis recognized the potential of AI to improve efficiency, productivity, and enhance capabilities in all aspects of their business
The company partnered with Ignite Solutions to develop a prototype of an AI-driven intelligent user guidance and troubleshooting assistant aimed at improving end-user self-service, reducing support costs, and increasing customer satisfaction. This initiative was one of many AI solutions as part of their broader strategy to explore AI applications in industrial settings
Time-consuming search process
Manual search through manuals was tedious and time-consuming
Lack of context
Users had specific situations, but the manuals weren’t designed to assist with specific answers
Lack of AI-powered assistance
Users required a natural language query system to improve search accuracy and speed
No multilingual capabilities
The existing documentation lacked language flexibility, making accessibility a challenge for non-English speakers
Ignite Solutions leveraged AI-powered retrieval-augmented generation (RAG) and image-to-text conversion to create an intelligent search solution. Our goal was to provide users with a natural language interface to process complex queries and instantly retrieve relevant images and text
RAG (Retrieval-Augmented Generation)
Implemented RAG (Retrieval-Augmented Generation) for intelligent document searching
Image-to-text conversion
Used image-to-text conversion to generate accurate text descriptions for manual images
Sequential description structure
Maintained a sequential description structure to preserve step-by-step guidance
Natural language interface
Created a natural language interface, allowing users to ask technical questions and receive contextually relevant responses with images
Multilingual support
Enabled multilingual support, expanding usability for diverse workforces
Contextual follow-up questions
Allowed a natural language conversation with contextual follow-up questions
Build a clickable test prototype in 2+ weeks. Demonstrate core features and design to attract investors.
Validate your idea with a tailored MVP in 2.5+ months. We develop your tech strategy, research your business model and refine your solution based on early user feedback.
Scale your solutions with our iterative development. Deliver new features and improvements consistently with product releases planned every 2 weeks.
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