A configurable optimisation suite for your needs
Predictive analytics-informed constraints
AptoNow uses predictive models to develop a set of recommended timetable constraints, including suggested student clash constraints and forecast class sizes. These insights can help stakeholders to relax unnecessary timetable constraints, enabling a better quality timetable.
AI-enabled Timetable Builder
Our AI-enabled Timetable Builder uses powerful machine learning algorithms to build clash-free timetables in a matter of minutes. The tool allows universities to explore multiple different scenarios of the academic timetable. In particular, it allows universities to optimise for soft constraints.
'Balanced scorecard' KPI dashboard
AptoNow's optimisation suite also has powerful executive reporting functionality. We publish a 'balanced scorecard' view across multiple different timetabling performance metrics, including Timetabling compactness, Space utilisation and Workforce utilisation.
Kick-start your optimisation roadmap with a rapid diagnostic
Looking to uplift your academic timetable but unsure where to start?
AptoNow's rapid timetabling diagnostic provides a data-driven evaluation of your academic timetable and targeted recommendations to improve. We help you to workshop these insights with key stakeholders, quantify key business benefits, and agree next steps.
Unlock value for your institution
Student Experience
Enhance the student experience by developing a 'set days on campus' model that delivers a more consistent and predictable schedule. Leveraging advanced AI tools, we eliminate outdated requirements and constraints that hinder flexibility and gather authentic student feedback. Our methods help surface key student needs and preferences to create a timetable that truly works for them.
Process efficiency
Streamline processes by providing clear insights into timetabling implications, enabling effective workload modeling and optimisation. We develop a change management framework that focuses on higher-reward, lower-effort operational changes. Additionally, we identify key technology leverage points to enhance automation through targeted technology interfaces and interventions.
Space optimisation
Increase space efficiency by modeling scenarios that demonstrate the benefits of operational change, addressing stakeholder skepticism. By identifying new space and technology needs, we remove constraints and, using AI-based KPI analysis, iteratively refine numerous timetable options to find the most effective solution for your institution.
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