Portion adjustment
Repeated leftovers on a high-volume dish gave a kitchen team the confidence to test smaller default portions.
Impact / case studies
Waste reduction starts with seeing the real pattern.
Smart Bin AI helps teams move from broad sustainability goals to targeted, measurable cafeteria action.
19.7%+
average waste reduction
20,000+
disposals analysed
10+
location deployments
4
continents reached
Deployment reach
Built to travel across cafeteria contexts.
Pilot and deployment experience spans different regions, menus, service models, and dining communities.
Menu evidence
Dish-level comparisons helped separate unpopular recipes from over-serving and timing effects.
Awareness campaigns
Baseline and follow-up data made diner-facing campaigns measurable rather than anecdotal.
Before / after
A clearer operating conversation.
Before
“We think portions may be too large.”
Occasional observation, broad totals, and no reliable dish comparison.
After
“This dish leaves 24% more waste on Tuesdays.”
Consistent evidence, a testable action, and a measurable follow-up.