Nottingham Trent University and Rise & Recline Limited KTP 24_25 R2

A Knowledge Transfer Partnership between Nottingham Trent University and Rise & Recline Limited will embed bespoke algorithms into the company’s operations to support human decision-making rather than replace it. This matters because many small and medium-sized manufacturers struggle to adopt advanced data tools without losing the expertise of their existing workforce. The algorithms are designed to augment—not automate—skilled judgement, helping workers interpret complex production data more quickly and accurately. The project addresses a gap in how companies can upskill current employees through software, rather than hiring new data specialists. If successful, the partnership could change how a UK manufacturer handles quality control, scheduling, or resource allocation. The algorithms would flag patterns or anomalies that a human might miss, while leaving final decisions in the hands of experienced staff. This approach could serve as a model for other firms in the sector, demonstrating that data-driven tools can strengthen—not sideline—a skilled workforce. The immediate impact is on one company’s production line, but the broader lesson applies across manufacturing.