Independent energy consultancy Utility Trade has initiated a three-year Knowledge Transfer Partnership (KTP) with De Montfort University (DMU) to develop an AI-driven system designed to streamline internal processes and enhance forecasting and pricing accuracy. This collaboration represents a significant step in applying academic research to solve real-world business challenges in the utility sector.
The project, backed by Innovate UK, aims to embed advanced knowledge in data analytics, software development, and cybersecurity directly into the consultancy’s operations. By leveraging DMU’s academic expertise, Utility Trade seeks to improve client response times, reporting, and billing accuracy. Explore how DMU collaborates with businesses to drive innovation and growth.
Understanding the Knowledge Transfer Partnership (KTP) Structure
Knowledge Transfer Partnerships are a national programme designed to help businesses innovate by linking them with academic expertise. This structure drives improvements in productivity, performance, and long-term growth. In this specific instance, the £270,000 partnership is funded 67 percent by the innovation agency, with the remainder invested by Utility Trade.
This model allows companies to access high-level skills and research without the full cost of hiring permanent specialists. The collaboration brings together specialists from DMU’s Faculty of Technology, Arts and Culture, and the Faculty of Business and Law. This interdisciplinary approach ensures that the technical solution is robust and aligned with business strategy.
The Role of Academic Expertise in Commercial AI
The academic team is led by Dr. Francisco Aparicio Navarro, Associate Professor of Cyber Security at DMU. With expertise in computer networks, cybersecurity, and AI-driven automation, Dr. Navarro emphasizes the importance of secure software design. He notes that embedding security from the outset is essential for the project’s success.
He is joined by Dr. Abiodun Egbetokun and Dr. Eric D Ofosu-Hene, whose combined expertise in AI, data analytics, and business process innovation ensures the solution aligns with Utility Trade’s strategic priorities. This team structure highlights how academic research can be translated into measurable improvements in efficiency and decision-making.
Key Benefits of AI in Utility Pricing and Forecasting
For energy consultancies like Utility Trade, accurate forecasting is critical. The market is volatile, and pricing errors can lead to significant financial losses or missed opportunities. The AI system being developed aims to address these challenges by:
- Automating Data Analysis: Processing vast amounts of market data to identify trends faster than human analysts.
- Enhancing Accuracy: Using machine learning models to predict energy demand and pricing fluctuations with greater precision.
- Streamlining Operations: Reducing manual work in reporting and billing, allowing staff to focus on client strategy.
By implementing these technologies, Utility Trade aims to help organizations secure competitive energy contracts while supporting sustainable business growth. Learn more about DMU’s business education programs that focus on these emerging technologies.
Addressing Skill Gaps Through Academic Partnership
Georgie Gardiner, Sales and Marketing Director at Utility Trade, highlighted that the company was at a critical point in its growth plan when they engaged with DMU. The funding enables them to fill skill gaps that would not have been possible otherwise. The project involves recruiting two postgraduate KTP Associates—a Data Modeller and a Software Developer—to support delivery.
This approach provides a pipeline of talent trained in the specific needs of the business. It also offers recent graduates valuable industry experience, bridging the gap between academic study and commercial application.
Strategic Implications for the UK Energy Sector
Darsheet Chauhan, Knowledge Exchange Officer at De Montfort University, emphasizes that this project offers phenomenal growth potential for Utility Trade. By combining DMU’s expertise in software development and data management, the KTP will automate processes and embed data-driven strategies.
This initiative supports Utility Trade’s journey to become a sector leader while boosting local business and job opportunities. Furthermore, it advances UK businesses’ sustainability goals by enabling more efficient energy management. Read about DMU’s commitment to Sustainable Development Goals.
How Businesses Can Leverage University Partnerships
For businesses considering similar initiatives, the Utility Trade and DMU partnership offers a clear blueprint. Success relies on identifying specific operational bottlenecks and seeking academic partners with complementary skills. The KTP framework provides a structured pathway to innovation, supported by government funding.
Companies should look for universities with strong faculties in technology and business, ensuring a holistic approach to problem-solving. The integration of cybersecurity, data analytics, and business strategy is vital for developing robust AI systems.
Future Outlook: AI and Data Analytics in Business
The collaboration between De Montfort University and Utility Trade illustrates the growing importance of AI in traditional industries. As data becomes the new currency, the ability to process and act on it quickly defines market leaders. This project serves as a case study for how academic research can drive tangible business outcomes.
As the three-year project progresses, the insights gained will likely be applicable to other sectors facing similar pricing and forecasting challenges. The focus on secure, scalable software development ensures that the solution remains viable long-term.
Have questions about implementing AI in your business operations? Write to us or explore our related articles for further reading.
For organizations looking to bridge the gap between academic research and commercial application, the Knowledge Transfer Partnership model remains a highly effective vehicle. Discover if a KTP is right for your organization and take the next step in driving innovation.
