Free trial available, contact us.
AI Use Cases
AI Technologies
Our company offers 24 proven AI use cases based on three major AI technologies, most of which are ready for deployment. These include Machine Learning for AI-based Predictive Analytic (quML), Edge AI using computer vision (OpenCV) for defect detection and smart image recognition (quCV), and Generative AI (RAG + small LLM models) for productivity enhancement, enabling the creation of private chatbots on secure private clouds and AI PCs and on-device (quGPT). We are also developing Edge AI solution and Agentic AI, which aims to integrate all three technologies.
AI in the Hotel : Drives business impact by boosting revenue growth through optimized pricing and higher occupancy rates, reducing costs by aligning resources with demand, and enhancing the guest experience.
AI in the Audit : Delivers business impact by reducing audit costs through more effective targeting of high-risk areas, while also enabling proactive risk management by identifying and resolving potential issues before they escalate.
AI in Sales and Marketing : Drives business impact by accurately predicting customer purchase behavior and customer type to enhance sales forecasting, optimizing inventory to prevent overstocking, and personalizing marketing strategies.
AI in Retail: Drives business impact by delivering personalized product recommendation that increase sales. It also predicts purchase patterns to optimize inventory and revenue.
AI in Maintenance : Drives business impact through failure prediction, early warning systems, and root cause analysis for industrial machinery, resulting in reduced downtime, cost savings, and optimized maintenance.
AI in ESG: Drives business impact by improving ESG performance through carbon footprint forecasting and reduction strategies. It also offers predictive insights to guide strategic investments in sustainability and social impact initiatives.
AI in Finance: Drives business impact by reducing financial losses through early identification of high-risk customers, predicting the likelihood of a loan being fully repaid or charged off.
AI in Manufacturing (6 cases)
AI in Manufacturing has 6 proven use cases that deliver significant business ROI, driving cost savings and productivity improvements. These use cases resulted in approximately US$52 million in savings in one year for typical world-renowned manufacturing companies.
Advantage of Computer Vision (OpenCV) for Defect Detection.
Traditional machine vision systems are costly due to proprietary software and specialized hardware. In contrast, AI-based solutions using OpenCV can be implemented at a fraction of the cost by utilizing open-source software, affordable hardware, and scalable AI models. OpenCV works with low-cost hardware, such as standard cameras, sensors, and AI PCs, eliminating the need for expensive, specialized machine vision equipment.
Secure and Private AI Chatbot (small LLM model ) on-device
Using a private AI chatbot with smaller, local models (such as Llama 3.2 1B/3B/ 7B/70B) offers businesses enhanced data privacy and security while reducing reliance on external expensive cloud services to boost productivity from days to hours, and integrates into Predictive Analytic + OpenCV for Edge AI at terminal devices .