AI Vision & IoT Sensors
Smart cameras and scales measure every gram of waste, temperature and usage at the source — with no manual logging.
IOMS is applied research in action: AI hardware detects, classifies and predicts food waste so kitchens can reduce avoidable waste, identify eligible surplus for donation workflows, and measure environmental and social impact.
Follow your kitchen data as it moves through IOMS — captured at the source, automated, predicted, and turned into measurable waste reduction and operational insight. Every stage talks to the next, with zero extra admin.
Smart cameras and scales measure every gram of waste, temperature and usage at the source — with no manual logging.
From order processing to waste tracking, AI handles the repetitive busywork across every shift — so your team doesn't have to.
A modern point of sale with integrated payments, table management and real-time order sync — all feeding the same data core.
Predictive reordering and automated alerts stop over-ordering before excess stock ever becomes waste.
IOMS flags eligible surplus and prepares the data teams need for responsible food-bank or charity redirection workflows.
Live reporting, trend analysis and actionable insights give managers full visibility — by shift, item or location.
No silos. No double entry. Just one operating system turning food waste into measurable environmental, social and operational impact.
IOMS supports the full food-waste hierarchy: prevent first, identify eligible surplus for responsible redirection, and measure the environmental and social impact of better decisions.
AI vision, weighing and forecasting help teams identify recurring waste patterns before overproduction or over-ordering becomes routine.
Clear surplus visibility can support responsible workflows for redirecting suitable food to food banks and charitable organisations.
Reducing unused food also reduces the emissions tied to producing, transporting, storing and disposing of food that never gets eaten.
Better operational data can contribute to the broader social objective of improving food access for vulnerable communities.
This work is guided by university-backed experimentation, advisor input, sustainability research and real kitchen data. IOMS is designed as an applied research platform for more responsible food operations.
Machine learning predicts waste patterns, suggests ordering quantities and surfaces impact opportunities — in real time.
Full kitchen control from your pocket — monitor waste, track inventory and manage orders on any device.
Secure, always-on infrastructure with real-time sync across every location you manage.
Enterprise-grade encryption with built-in HACCP and food-safety compliance.
Instant notifications for low stock, waste spikes, eligible surplus signals and reduction opportunities.
Live dashboards show waste reduction, savings and environmental indicators — by shift, item or location.
A distinguished group of academic leaders, industry experts, and innovators guiding WebMeister360 and iOMS with deep expertise in technology, sustainability, business, and food innovation.