Our cases
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Leapfrog AI: LLM powered Chat Agent for Supply Chain Design
A chat assistant that helps users interact with supply chain data using everyday language—no SQL or coding needed. It makes it easy to find answers, run scenarios, and export results, all through simple conversation.
Chat-based data visualization solution for Mediatool
The solution provides a seamless experience in extracting and summarizing data through natural language queries in a chat interface that retrives needed information and visualizes it directly in the interface.
Mediatool initiated a project utilizing OpenAI’s chat models through few-shot learning to generate complex JSON structures for automatic data retrieval and visualization, based on input and feasibility study by Modulai. This allows customers to chat with an AI assistant in a user-friendly way to retrieve data for decision-making in seconds. Chat interface removes technological barriers for customers who can now use natural language to communicate with the platform.
AI powered shopping assistant for e-commerce
Based on discussions and feedback from multiple e-commerse platforms, we've developed an easily integratable shopping assistant that lets site visitors ask natural language questions about the product catalouge and get recent, relevant and actionable resposes in real-time.
In the highly competitive e-commerce industry, customer service plays a crucial role in sustaining and growing the business. Customers nowadays expect instantaneous, accurate, and personalized responses to their queries. Traditional customer service methods are no longer sufficient to meet the growing demands and expectations of the online shopping community. To bridge this gap, an AI-powered shopping assistant bot capable of understanding and navigating the vast product catalog and providing instant, relevant answers is a necessity.
