AI Case Studies: How Businesses Run More Efficiently in Real-life
AI remains the talk of the town, but what can really be achieved with it? To move from the endless possibilities of AI to practical use cases carried out in real life, here are eight examples of our work.
Streamlining Content Creation with Gen AI Assistant
We developed a tool that helps employees to easily access information and get answers to their questions. It is trained with the company’s own data, such as previous articles written in their publications. The AI Assistant suggests new article ideas and generates first drafts based on the guidelines. The final article will still be polished by a human editor.
Benefit: Improved employee satisfaction and productivity
Revolutionising Material Sensing with AI
A leading technology company developed a cloud-based AI platform that can accurately identify materials. This platform has applications in various industries, including pharmaceuticals and manufacturing. By using AI, the company has enabled businesses to detect fraudulent products, ensure product safety, and optimise supply chain processes.
Benefit: Improved global supply chain security
Optimising Resource Allocation with NLP
A government agency responsible for food safety wanted to prioritise inspections more effectively. Using natural language processing (NLP), the agency developed a predictive system that analysed complex data to identify high-risk establishments. This AI-powered solution helped the agency allocate its resources efficiently and focus on areas that needed the most attention.
Benefit: Higher quality & improved food safety
Enhancing Grant Application Success with AI
A university sought to improve its success rate in securing grant funding. By employing AI tools, the university analysed thousands of thesis abstracts and identified key themes and trends. This valuable insight helped the university tailor its grant applications to align more closely with funding priorities.
Benefit: Greater speed in processes & improved throughput
Predicting Prices in the Automotive Market
An online marketplace for used cars wanted to give customers accurate price estimates. By leveraging AI, the company developed a predictive model that analysed market data to determine realistic prices and selling times. This feature enhanced the user experience and helped customers make informed decisions.
Benefit: Improved customer satisfaction
Driving Customer Intelligence in B2B Sales
A global provider of marine and energy solutions aimed to improve the efficiency of its sales. The company gained valuable insights into customer behaviour, identified upselling opportunities, and optimised lead management processes by implementing AI-powered customer intelligence.
Benefit: More customer insight into sales, faster sales cycle
Identifying Root Causes with AI
A service company faced challenges with high support costs due to numerous incident reports. With AI, the company was able to analyse incident data and identify the underlying root causes. This enabled the company to focus on targeted improvements and reduce overall support costs significantly.
Benefit: Reduced costs & improved service quality
Predicting Product Success with AI
We used AI to predict future product performance based on historical data. This helped our client identify promising products in the market to acquire and, hence, optimise their investment strategy. The AI model was trained on a dataset of daily purchase and revenue data from the digital marketplace. A flexible framework was also provided to facilitate experimentation with different datasets and models.
Benefit: Data-driven decision-making
Conclusion
These examples demonstrate the diverse applications of AI across various industries. By harnessing the power of AI, businesses can streamline operations, improve decision-making, and gain a competitive edge. Do you already have an idea for applying AI in your business context? Or do you need help defining the business case for AI?