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TaiwanTravel and aviation2023 – ongoing

FIH Regent Group

Winnow Vision AI food-waste tracking in the Regent Taipei buffet

Regent Taipei cut per-capita buffet food waste by 60% with Winnow's AI food-waste system

WorkingCompany's own claim

Problem

The Regent Taipei buffet restaurant, 栢麗廳, accounts for about 30% of the hotel's food and beverage revenue and 23% of its food waste. The hotel had looked for ways to cut food waste since 2018.

Approach

The hotel adopted the UK firm Winnow's AI food-waste recognition system, and the machine was imported at the end of 2023. Winnow had no Taiwan office, so hotel staff handled installation and upkeep with remote guidance. Training the AI on more than 300 dishes took about one month. The hotel and Winnow review results online every two to three weeks.

Results

60%drop in per-capita food waste at the buffet, as stated by the hotelCompany's own claim[1]
16.7 tonnes a yearreduction in food waste, as stated by the hotelCompany's own claim[1]
about NT$4.38 millionfood-cost savings by early 2026, as stated by the hotelCompany's own claim[1]

Takeaway

The hotel reports lower waste and lower ingredient costs from one measured restaurant. Setting up a foreign vendor's device without a local agent fell to the hotel's own staff.

Categories

Business function
Production and quality
Innovation type
Process innovation
AI technology
Computer vision
Evidence
Company's own claim

Sources

Source summaries

[1]Business Next (數位時代)15 Jul 2026

Business Next describes how Regent Taipei adopted the Winnow AI food-waste system for its buffet. It reports a 60% fall in per-capita food waste, 16.7 tonnes less waste a year and about NT$4.38 million in ingredient savings. It also covers the import, NCC certification and one-month training of the system.

Full details are in the original sources.

Added 2 Nov 2026 · Updated 2 Nov 2026
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