TK
Case study · Singapore, 2015 to 2026

Food waste in Singapore and where AI can help.

Three problem statements, the evidence for each, who is doing what, and where universities fit.

Terence KokExecutive Director, AI Governance & Assurance, Orion Five Engineering
TK
About your speaker

Terence Kok

Executive Director, AI Governance & Assurance Practice, Orion Five Engineering

Former Chief AI and Innovation Officer, Meinhardt Group

Twenty-five years leading digital and AI transformation across Asia and the Middle East: national smart-city programmes, critical infrastructure and enterprise operations. Today I help leadership teams put AI into production with controls they can show a board, an auditor and a regulator.

Independent analysis from public sources. The views in this session are mine.

Case study · Food waste in Singapore
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This session

Six parts, from the numbers to a research agenda.

  1. The problem in numbersEleven years of NEA data, and what the statistic cannot see.
  2. Rules and infrastructureThe segregation rules, Tuas Nexus and the households gap.
  3. Predict and preventForecasting and kitchen tracking: what the evidence shows.
  4. Collect and recoverContamination, sensors, routing and surplus matching.
  5. Value and modelNudges, the business case and the carbon question.
  6. Who is doing whatGovernment, industry, community and the universities.

Then: where university work is thin, routes in, a research agenda and questions for discussion.

Case study · Food waste in Singapore
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The case in one slide

A steady problem, new rules coming, and gaps a university can fill.

790,000 t
of food waste in 2025, about 11% of all waste
18%
recycled; 18% or 19% every year since 2019
2027+
Tuas Nexus food waste line; existing premises follow
~40%
of food waste from commerce and industry; the rest has no published split
Sources: [3] MSE, 7 Jul 2026; [1] [2] NEA statistics, Jun 2026; [13] NEA Green Bond Report, Mar 2026; [5] MSE, 5 Feb 2024.
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01

The problem in numbers.

Eleven years of official data, and the part the statistic cannot see.

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Food waste, '000 tonnes a year · NEA

The tonnage holds steady, and so does the 18%.

80313%
2015
79114%
2016
81016%
2017
76317%
2018
74418%
2019
66519%
2020
81719%
2021
81318%
2022
75518%
2023
78418%
2024
79018%
2025
Source: [2] NEA, Waste and recycling statistics 2015 to 2025. Orange: recycled share (NEA rounded rate). 2020 dip coincides with COVID-19.
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What the statistic cannot see

Prevention and rescued food do not show up in the headline.

~40%

Commerce and industry

The government's share for these sources. No split is published for households, hawkers and small outlets.

Not counted

Rescued food

"Food that is rescued or redistributed is not reflected in our food waste statistics." Minister, July 2026.

2017

Last household study

Food was about half of household waste disposed, and over half of that was avoidable.

Sources: [5] MSE, 5 Feb 2024; [3] MSE, 7 Jul 2026; [26] NEA household waste study, Dec 2017.
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Targets and landfill

The national targets have not yet moved.

30%
less waste to landfill per person per day by 2030against 2018; Zero Waste Masterplan, 2019
Flat
"about the same" as the 2018 baselineParliament, February 2025
2035
Semakau, the only landfill, expected to fillmore than half full, January 2024
2027
Zero Waste Masterplan review dueannounced June 2026
Sources: [8] Zero Waste Masterplan, 30 Aug 2019; [9] MSE, 5 Feb 2025; [10] MSE, 9 Jan 2024; [7] MSE, 7 Jul 2026.
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02

Rules and infrastructure.

Segregation for large new premises, a plant that keeps moving, and households outside the rules.

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Resource Sustainability Act · since 8 March 2024

Large new premises must segregate, treat and report.

Malls and hotels with more than 3,000 sqm of food and function space, food factories with more than 750 sqm of operations, and large multi-user food factories, in buildings planned from 2021.

About 360 premises would be in scope once existing buildings join. They have no date.

Sources: [11] Regulations S 194/2024; [4] NEA, Jun 2026; [12] NEA, 4 Mar 2020.
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Tuas Nexus food waste line · 400 tonnes a day

The rule for existing premises waits on one plant.

2025
Jan 2019 · NEA target after the Ulu Pandan trial [15]
2024
Mar 2020 · existing premises, plant "operational in 2024" [12]
Mid-2026
May 2024 · construction delays reported [14]
2027+
Mar 2026 · "progressively from 2027 onwards" [13]
No date
Jun 2026 · existing buildings "in tandem with" Tuas Nexus [4]
Food waste is pulped and co-digested with used-water sludge; the Ulu Pandan trial gave about 40% more biogas than digesting the two apart [15].
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Households and hawker centres

The largest unmeasured share sits outside the rules.

No household mandate

"We do not have plans" to require it; trial participation could not be sustained. October 2025.

RFID charging judged hard

High-rise blocks share a refuse chute, so weighing per household is difficult. July 2026.

Tray return since 2021

A natural point to separate hawker food waste. No published pilot results found.

Sources: [16] MSE, 15 Oct 2025; [17] MSE, 7 Jul 2026; [68] NEA, May 2021; [55] NUS CDE, Nov 2021.
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Where AI can act · the food waste flow

Three problem statements map onto one flow.

Buy and cookretail, kitchens, hawkers,homes Surplus and waste790,000 t in 2025;rescued food not counted Segregate, collectcontamination is thebinding constraint Treat or rescuedigesters, Tuas Nexus,valorisation, redistribution 01 PREDICT AND PREVENTforecasting, kitchen tracking, spoilage models 02 COLLECT AND RECOVERcontamination detection, routing, matching 03 VALUE AND MODELbaseline, cost per tonne avoided, nudges and business models across the whole flow
Sources: [3] [35] [13]. The mapping is my reading.
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03

Predict and prevent.

The strongest evidence of the three, with limits that matter for local food.

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Reported food waste reduction · by who measured it

Independent results are smaller than the sales figures.

Retail forecasting, 1,300+ storesIndependent pilot
14.8%
Hotel kitchens, year oneProgramme study, 42 sites
21%
IKEA production waste vs 2017Company-reported
54%
Kitchen CV rangeVendor claim (Winnow)
40-70%
Sources: [40] PCFWC, Dec 2022; [42] Champions 12.3, 2018 (restaurants 26% [43]); [39] Ingka, Sep 2022; [31] Winnow via TechNode, Jul 2026 (Lumitics: 30% in six months). Measures differ by row.
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The best independent result · 2020 to 2022

Forecasting cut store waste by 14.8%.

AI ordering pilots in more than 1,300 stores of two US grocers. Results were visible after about eight weeks.

The main barrier was not the model. Merchandising, finance and operations had conflicting goals.

Source: [40] Pacific Coast Food Waste Commitment, Dec 2022. Vendor marketing figures for the same category run higher.
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Kitchen tracking in Singapore and beyond

Camera tracking works where staff act on the numbers.

54%

IKEA production waste

Against 2017, over about four years, with Winnow and 20,000 staff trained. Excludes plate waste.

4.1% → 2.3%

SATS waste intensity

FY2021 to FY2023, after AI tracking in its Singapore kitchens. Company-reported.

Jul 2026

Lumitics sold to Winnow

The Singapore vision company, used by Pullman Hill Street and others, now UK-owned.

Sources: [39] Ingka, 20 Sep 2022; [34] SATS Sustainability Report FY2022-23; [31] TechNode, 16 Jul 2026; [32] Green Globe.
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Two limits for Singapore

Local food and local habits are harder to model.

Accuracy

Mixed dishes after eating

A 2025 study found vision models did worse on stews and fragmented food: most of what hawkers and canteens throw away.

Adoption

Someone must change a decision

Each gain came from kitchen and store staff acting on the data, not from the model alone.

Sources: [47] Rokhva and Teimourpour, arXiv, Jul 2025; [39] [40].
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Singapore research · NTU FRESH, April 2026

A spoilage model keeps safe food out of the bin.

AI
model predicts growth of bacteria such as Salmonellaunder real storage conditions
SFA
FRESH is run by NTU with SFA and A*STARlaunched April 2021
Retail
supermarket chains exploring adoptionper NTU
1
of only two academic AI prevention projects foundwith the SMU-X dashboard
Sources: [50] NTU, 20 Apr 2026; [51] NTU, 27 Apr 2021; [52] SMU, 8 Jun 2023. The count is my reading.
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04

Collect and recover.

One constraint keeps recurring: what goes into the bin.

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The recurring failure

Contamination has stopped more projects than technology has.

40%
IUT Global, 2011 · up to 40% of intake contaminated; built for 800 t/day, collected 120-130 [37]
~300 t
Changi, 2019 · a year through 11 digesters; staff cannot tell digestible waste apart [35]
~40%
Blue bins, Feb 2026 · contamination "remained at about 40%" (recyclables) [19]

Contamination detection at the point of disposal is the most valuable collection use case here, ahead of route optimisation.

The last line is my reading of [37] [35] [19].
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Sensors, smart bins and routing in Singapore

Pilots exist; published results do not.

2022-23

BINgo

FairPrice and A*STAR AI and IoT sorting bins for recyclables at three sites. No results published.

2023

Fill-level sensors

800 Super's trial delayed by procurement and manpower problems. No results published.

SMU

Routing research

Ant-colony routing for municipal waste; not for segregated food waste.

Sources: [38] A*STAR, 6 Oct 2022; [20] MSE, 4 Jul 2023; [21] MSE, 11 Sep 2025; [53] SMU.
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Matching surplus with people who can use it

Rescue works at useful scale.

612 t
redistributed by the Food Bank Singapore2024
300,000+
meals rescued in Singapore through Yindii2025, company release
1,095 t
imperfect produce sold by FairPrice2024; ~75 t redistributed
Jan 2025
Good Samaritan Food Donation Act in forcedonors protected if conditions met
Sources: [27] FBSG AR 2025; [29] Yindii, Dec 2025; [28] FairPrice SR 2024; [25] GSFDA 2024. Too Good To Go is not in Singapore [30].
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05

Value and model.

Nudges with good evidence, a business case on self-selected sites, and a weak carbon leg.

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Behavioural measures · most need no AI

Plates, signs and portions have the best controlled evidence.

19.5%

Smaller plates

Nordic hotel buffets, plates 3 cm smaller. Peer-reviewed field experiment.

20.5%

A sign to come back

Inviting guests to return for more, in the same experiment.

2021

Rice-level menu card

Four NUS canteens, run by students with the ministry as mentor. No published effect size.

Sources: [45] Kallbekken and Sælen, Economics Letters, 2013; [54] NUS Zero Waste.
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The business case · Champions 12.3

About 7 to 1 for hotels and restaurants.

7:1
hotels, 42 sites21% less kitchen waste in year one (2018)
7:1
restaurants, 114 sites26% less in year one (2019)
14:1
cross-sector average, 1,200 sites2017; not the hotel figure
Caveat
sites chose to take partshows what is possible, not typical
Sources: [42] Champions 12.3 and WRAP, 2018; [43] 2019; [44] WBCSD, Mar 2017.
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The carbon question

Value in Singapore rests on cost, compliance and landfill life.

Incinerated, not landfilled

Methods that credit avoided landfill methane are unlikely to apply here.

Tax on large emitters

S$45 a tonne from 2026, on about 50 facilities, not on a hotel's or hawker's bin.

No Singapore model

No published cost-per-tonne or carbon model for food waste was found.

Source: [24] NCCS. The analysis is mine.
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06

Who is doing what.

Government, industry, the community and the universities.

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The landscape · a selection, not a census

Plenty of activity, spread thinly.

ProblemGovernmentIndustry and communityUniversities
Predict and preventNEA guides; Love Your Food programmesHotels on Lumitics and Winnow; SATS; FairPrice forecasting [32] [34] [28]NTU FRESH; SMU-X dashboard; NUS canteen nudge [50] [52] [54]
Collect and recoverTuas Nexus, 400 t/day from 2027 [13]800 Super, ALBA, Cora; BINgo; Food Bank; Yindii [18] [38] [27] [29]NUS digesters; A*STAR, RP, Mottainai valorisation; SMU routing [55] [23] [60] [53]
Value and modelTREASURES; Closing the Resource Loop [48] [22]Marina Bay Sands: 65% diverted (2024) [36]A*STAR SIMTech audit method [59]
Hospitality vendors named only where the hotel or vendor has said so publicly.
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University activity by problem area · from published work

Strong on products, thin on prediction and the value model.

InstitutionPredict and preventCollect and recoverValue and model
NUSSomeActiveSome
NTUActiveActiveSome
SMUSomeSomeNone found
SUTDNone foundSomeNone found
SITNone foundSomeNone found
A*STARNone foundActiveSome
PolytechnicsNone foundActiveNone found
My grading from [58] [50] [52] [53] [55] [56] [23] [59] [60]. "None found" means nothing published.
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Selected projects

The university work closest to the three problems.

WhoProjectAI used
NTU and NEATREASURES, Node 1 Waste Flow & Analytics, S$35m to 2030 [48] [49]Modelling remit
NTU FRESHSpoilage model so safe food is not discarded [50]Yes
SMU-X, FairPriceWrite-off dashboard flagging high-loss outlets [52]Yes
NUS CDE, NEADigester at East Coast Lagoon Food Village [55]No
NUS, SEC, NTUBlack soldier fly blueprint for urban food waste [56] [57]No
A*STAR, MottainaiThree CTRL valorisation awards, S$5.3m combined [23]No
Republic PolyOkara protein and peptides, licensed in 2026 [60]No
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Where university work is thin

Five gaps a new programme could fill.

  1. Forecasting outside retail. Hawkers, caterers, central kitchens and canteens.
  2. Household and hawker measurement. No repeated survey or diary panel; the last NEA study was 2017.
  3. Vision data for local food. No published Singapore set of food waste images.
  4. Collection logistics. Moving segregated food waste from existing premises to Tuas Nexus.
  5. A cost and carbon model. Cost per tonne avoided, for operators and for the state.
My reading of [58] [26] [47] [13] [59]. Valorisation chemistry is the crowded area.
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Engaging universities

Routes in, and what each suits.

RouteSuitsPace
TREASURES Node 1A food waste flow and analytics workstream in a funded centre, to 2030 [48] [49]Months
NEA CTRL callsIndustry and institutions co-apply [22] [23]Call cycle
SMU-XLow-cost analytics pilot on a real data set [52] [62]One term
SIT work-studyStudents placed in an operator for 8 to 12 months [63]Semester
NUS Zero WasteCanteen trials before hawker centres [54]Semester
NTU FRESHShelf-life and spoilage trials with retailers [50]Months
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International benchmarks

Universities elsewhere own the baseline.

−17%

Wageningen

Runs the Dutch national food waste monitor; waste fell 17% from 2015 to 2023.

Panels

Leeds and Ohio State

Household surveys and food diaries, repeated on a schedule.

Open

ReFED

A public cost-benefit model of 40+ solutions, not just a tonnage.

Sources: [64] Rijksoverheid, Sep 2025; [65] Leeds, Jan 2021; [67] Ohio State; [66] ReFED. Seoul's weight-based fees: 47,000 t less over six years, reported [46].
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A research agenda

Seven questions to put to the universities.

  1. Baseline. How much food waste do households, hawkers and small outlets produce, and how much is avoidable?
  2. Forecasting. Can a demand model cut overproduction at a central kitchen, against a control group?
  3. Local vision data. Can an open image set lift accuracy on mixed dishes?
  4. Contamination at source. Can a camera or sensor catch it before the digester?
  5. Collection design. Least-cost routes from existing premises to Tuas Nexus.
  6. Nudges at the tray return. Do portions and signage work in hawker centres?
  7. The value model. Cost per tonne avoided for each measure, published openly.
My recommendations, drawn from [65] [67] [40] [47] [35] [13] [45] [66].
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07

What leaders can take from it.

Seven lessons, a pilot checklist and questions to take back.

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Lessons 1 and 2 · before the technology
LESSON 01

Measure first.

The national statistic cannot see prevention or rescued food.

ActionSet a weighed baseline before any pilot starts.
LESSON 02

Fix the input before the machine.

Contamination sank IUT Global and holds back Changi's digesters.

ActionFund detection and staff training ahead of treatment capacity.
Lessons are my reading of the record: [3] [37] [35].
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Lessons 3 and 4 · where to invest
LESSON 03

Back prediction where someone will act.

Every gain came from staff changing what they order or cook.

ActionChoose partners who will change the decision, not only host the tool.
LESSON 04

Ask universities for the thin areas.

Valorisation is well served; measurement and modelling are not.

ActionCommission forecasting, measurement, vision data, logistics and the value model.
Lessons are my reading of the record: [39] [40] [58].
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Lessons 5 to 7 · making it last
LESSON 05

Use existing institutions.

TREASURES, CTRL and SMU-X give funding, a host and a pace.

ActionAnchor the work where it outlasts one grant.
LESSON 06

Plan for vendor change.

A sale, a restructure and a liquidation in the record.

ActionOwn the data and make sure it can move.
LESSON 07

Count value in Singapore terms.

Food cost, disposal, compliance and landfill life.

ActionDo not plan on carbon credit income.
Lessons are my reading of the record: [48] [22] [31] [37] [24].
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For government

Count what policy wants to change.

Count prevention

Rescued and prevented food is invisible in the main statistic today.

Use the 2027 review

The masterplan review is the natural moment to change the measure.

Give it a method

A university-run baseline, on the Wageningen model, would make the count credible.

My recommendations, drawn from [3] [7] [64].
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Pilot checklist

A checklist for a food waste AI pilot.

ControlWhat good looks likeWhy, from the record
BaselineFour to eight weeks of weighed waste firstRetail results showed from ~8 weeks
Control groupComparable sites without the toolBusiness-case sites self-selected
Measure namedProduction, plate or store wasteIKEA's 54% is production only
Local accuracyTested on the site's own dishesVision weakens on mixed dishes
ContaminationChecked at the point of disposalIUT Global, Changi, blue bins
Staff and goalsTrained teams, goals that agreeMain barrier in retail pilots
Data and privacyCameras on bins, data owned by operatorVendor churn
Value methodCost per tonne avoided, with its partsNo Singapore model published
My recommendations. Sources: [40] [42] [39] [47] [37] [35] [19] [31].
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Reporting

What is often misreported.

Often saidWhat the record shows
Food waste at a record high2025 (790,000 t) was below 2021 (817,000 t). [2]
All large premises must segregateNew buildings only; existing ones have no date. [4]
Mandatory reporting since 2021Reporting began with segregation in March 2024. [11]
Singapore is adopting RFID binsJudged hard with shared chutes. [17]
IKEA halved all food waste54% of production waste. [39]
14:1 return for hotelsCross-sector average; hotels about 7:1. [44] [42]
Too Good To Go in SingaporeIts first Asian market is Japan. [30]
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What to watch · as of 12 October 2026

Dates to re-check.

WhenWhat to look for
2027Zero Waste Masterplan review: food waste target, household measure, counting rescued food.
2027 onwardsTuas Nexus food waste line, and the date for existing buildings.
Jun 20272026 statistics: whether food waste recycling moves off 18%.
2026 to 2030TREASURES grant calls, and whether Node 1 takes on food waste.
OngoingResults from Singapore sensor and smart-bin pilots.
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Evidence and methodology

How strong each claim in this case is.

ClaimRests onGrade
Food waste generated, recycled and recycling rate, 2015 to 2025NEA statistics tables, June 2026Measured, official statistics
Commercial and industrial sources are about 40% of food wasteMSE written reply, February 2024Official estimate, no method published
Rescued food is not in the statisticsMSE written reply, July 2026Official statement
RSA dates for new and existing buildings; Tuas Nexus timingRegulations S 194/2024; NEA pages; Green Bond reportPrimary legal and agency documents
Blue-bin contamination about 40%MSE replies, 2023 and 2026Official, aggregated sampling
Independent retail forecasting pilots averaged 14.8%Pacific Coast Food Waste Commitment, 2022Measured, multi-retailer pilot
IKEA cut production food waste 54% against 2017Ingka Group, 2022Company-reported, unaudited
Kitchen vision tracking cuts 30% to 70%Winnow and Lumitics materialsVendor claim
Smaller plates cut buffet waste 19.5%Kallbekken and Sælen, 2013Peer-reviewed field experiment
Hotels and restaurants return about 7:1Champions 12.3, 2018 and 2019Programme study, self-selected sites
University activity by problem area, and the gapsUniversity and agency releases, read October 2026My call, from what is published
Engagement routes, research agenda and controls checklistMy reading of the record cited against eachMy call
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Full timeline · 1 of 3

January 2011 to October 2022.

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Full timeline · 2 of 3

February 2023 to January 2026.

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Full timeline · 3 of 3

February 2026 to July 2026.

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For discussion

Six questions to take back.

  1. Do we know how much food we waste, by site and by type, today?
  2. Who would change an order or a recipe because of a forecast?
  3. How clean is our segregated food waste, and who checks?
  4. Which of the five gaps would a university partner fill for us?
  5. Where would the work live after the first grant ends?
  6. What is our cost per tonne avoided, and how did we count it?
Case study · Food waste in Singapore
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Take it further

The full case and a tool.

QR code: Singapore food waste case study

The Singapore food waste case study

Full text, five motion figures, 74 numbered sources and the FAQ. terencekok.com/research/case-studies/singapore-food-waste

QR code: AI value ledger

AI value ledger

Grade a pilot's value claim by what it rests on before it goes to the board.

Case study · Food waste in Singapore
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Thank you

Thank you.

Questions and discussion.

Terence Kokterencekok.com · linkedin.com/in/terence-kok-waichuen
QR code: Terence Kok on LinkedInConnect on LinkedIn
TK
Sources · 1 of 5

Numbered as on the case study page.

  1. 1National Environment Agency. (2026, 18 June). Waste statistics and overall recycling (2025 data).www.nea.gov.sg
  2. 2National Environment Agency. (2026, June). Waste and recycling statistics, 2015 to 2025 (PDF).www.nea.gov.sg
  3. 3Ministry of Sustainability and the Environment. (2026, 7 July). Written reply to parliamentary question on food waste statistics.www.mse.gov.sg
  4. 4National Environment Agency. (2026, June). Food waste management.www.nea.gov.sg
  5. 5Ministry of Sustainability and the Environment. (2024, 5 February). Written reply to PQ on commercial and industrial food waste.www.mse.gov.sg
  6. 6National Environment Agency. (n.d.). Food waste valorisation.www.nea.gov.sg
  7. 7Ministry of Sustainability and the Environment. (2026, 7 July). Oral reply to parliamentary question on waste statistics and review of the Zero Waste Masterplan.www.mse.gov.sg
  8. 8Ministry of the Environment and Water Resources. (2019, 30 August). Launch of Singapore’s Zero Waste Masterplan (press release, National Archives).www.nas.gov.sg
  9. 9Ministry of Sustainability and the Environment. (2025, 5 February). Oral reply on progress on waste to landfill and solar deployment.www.mse.gov.sg
  10. 10Ministry of Sustainability and the Environment. (2024, 9 January). Written reply to PQ on extension of Semakau Landfill lifespan.www.mse.gov.sg
  11. 11Singapore Statutes Online. (2024). Resource Sustainability (Food Waste Segregation, Treatment and Reporting) Regulations 2024, S 194/2024.sso.agc.gov.sg
  12. 12National Environment Agency. (2020, 4 March). Businesses required to segregate food waste for treatment under new legislation.www.nea.gov.sg
  13. 13National Environment Agency. (2026, March). Green Bond Report.www.nea.gov.sg
  14. 14Eco-Business. (2024, 20 May). Singapore’s world-first integrated waste and water treatment facility hit by construction delays.www.eco-business.com
  15. 15National Environment Agency. (2019, 29 January). Co-digestion of food waste and used water sludge enhances biogas production for greater energy generation.www.nea.gov.sg
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Sources · 2 of 5

Agencies, statutes and Parliament.

  1. 16Ministry of Sustainability and the Environment. (2025, 15 October). Written reply on food waste segregation for households.www.mse.gov.sg
  2. 17Ministry of Sustainability and the Environment. (2026, 7 July). Written reply to parliamentary question on food waste (RFID-based charging).www.mse.gov.sg
  3. 18National Environment Agency. (2026). Waste collection systems (public waste collectors and sectors).www.nea.gov.sg
  4. 19Ministry of Sustainability and the Environment. (2026, 24 February). Written reply on contamination of recyclables in blue bins.www.mse.gov.sg
  5. 20Ministry of Sustainability and the Environment. (2023, 4 July). Written reply to PQ on sensors in recycling bins.www.mse.gov.sg
  6. 21Ministry of Sustainability and the Environment. (2025, 11 September). Speech by SMS Zaqy Mohamad at the Cora Environment brand launch.www.mse.gov.sg
  7. 22National Environment Agency. (2026, 29 May). Closing the Resource Loop funding initiative.www.nea.gov.sg
  8. 23Green Queen. (2026, 20 July). Singapore awards $4.1M to three projects upcycling food waste into high-value products.www.greenqueen.com.hk
  9. 24National Climate Change Secretariat. (2026). Carbon tax.www.nccs.gov.sg
  10. 25Singapore Statutes Online. (2024). Good Samaritan Food Donation Act 2024.sso.agc.gov.sg
  11. 26National Environment Agency. (2017, December). Half of food waste thrown away by Singapore households can be prevented: NEA household waste study.www.nea.gov.sg
  12. 27The Food Bank Singapore. (2025, May). Annual Report 2025 (covering 2024).foodbank.sg
  13. 28FairPrice Group. (2025, 9 May). Sustainability Report 2024.www.fairpricegroup.com.sg
  14. 29Yindii, via Alvinology. (2025, 23 December). Yindii closes 2025 with over half a million meals saved (company release).alvinology.com
  15. 30Global Startup Awards. (2026, January). Too Good To Go enters Japan, marking its first expansion into Asia.www.globalstartupawards.com
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Sources · 3 of 5

Companies, studies and universities.

  1. 31TechNode Global. (2026, 16 July). UK’s Winnow acquires Singapore’s Lumitics to expand AI food waste platform in Asia-Pacific.technode.global
  2. 32Green Globe. (n.d.). Pullman Singapore Hill Street: food-wise hospitality (case study).www.greenglobe.com
  3. 33Hilton Asia Pacific. (2024, August). Savoring sustainability: hotels in Asia Pacific tackling food waste.stories.hilton.com
  4. 34SATS Ltd. (2023). Sustainability Report FY2022-23 (SGX filing).links.sgx.com
  5. 35Sustainability Open Innovation Challenge. (n.d.). Helping F&B operators improve food waste segregation and transfer to an on-site treatment facility (Changi Airport Group problem statement).sustainability-industry.innovation-challenge.sg
  6. 36Marina Bay Sands. (2026). Waste and circularity.www.marinabaysands.com
  7. 37Eco-Business. (2011). Food waste recycler folds (IUT Global).www.eco-business.com
  8. 38A*STAR. (2022, 6 October). FairPrice Group and A*STAR launch pilot for smart bins (BINgo).www.a-star.edu.sg
  9. 39Ingka Group. (2022, 20 September). IKEA stores halve production food waste, saving more than 20 million meals over four years.www.ingka.com
  10. 40Pacific Coast Food Waste Commitment. (2022, December). Case study: AI to reduce food waste in retail.pacificcoastcollaborative.org
  11. 41Wasteless. (n.d.). Edeka achieves waste reduction and margin gains with AI-powered markdowns (vendor case study).wasteless.com
  12. 42Champions 12.3 and WRAP. (2018). The business case for reducing food loss and waste: hotels.champions123.org
  13. 43Champions 12.3. (2019, 13 February). Report finds restaurants save significant money from fighting food waste.champions123.org
  14. 44WBCSD. (2017, March). New research finds companies saved $14 for every $1 invested in reducing food waste.www.wbcsd.org
  15. 45Kallbekken, S., & Sælen, H. (2013). “Nudging” hotel guests to reduce food waste as a win-win environmental measure. Economics Letters, 119, 325-327. Summary via The Decision Lab.thedecisionlab.com
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Universities and research institutes.

  1. 46World Economic Forum. (2019, April). South Korea once recycled 2% of its food waste. Now it recycles 95%.www.weforum.org
  2. 47Rokhva, S., & Teimourpour, B. (2025, 19 July). Food waste estimation based on computer vision in a university dining hall. arXiv 2507.14662.arxiv.org
  3. 48Nanyang Technological University. (2026, 17 June). National research centre to turn trash on landfill to treasure (TREASURES).www.ntu.edu.sg
  4. 49Nanyang Technological University. (2026). TREASURES: our people.www.ntu.edu.sg
  5. 50NTU School of Chemistry, Chemical Engineering and Biotechnology. (2026, 20 April). AI-powered predictive modelling to enhance food safety and reduce food waste.www.ntu.edu.sg
  6. 51Nanyang Technological University. (2021, 27 April). NTU Singapore, Singapore Food Agency and A*STAR launch Future Ready Food Safety Hub (FRESH).www.ntu.edu.sg
  7. 52Singapore Management University. (2023, 8 June). Singapore Management University and FairPrice Group partner to reduce food waste.news.smu.edu.sg
  8. 53Xue, W., & Cao, K. (n.d.). Optimal routing for waste collection: a case study in Singapore. SMU Institutional Knowledge.ink.library.smu.edu.sg
  9. 54NUS Zero Waste. (c. 2022). How providing rice level options can reduce rice waste.www.nus.edu.sg
  10. 55NUS College of Design and Engineering. (2021, 17 November). Food waste digester turns leftovers into energy and fertiliser.cde.nus.edu.sg
  11. 56NUS Faculty of Science. (2022, February). Interdisciplinary team to develop blueprint for sustainable urban food waste management using black soldier flies.www.science.nus.edu.sg
  12. 57Singapore Global Network. (2026, 12 February). Meet the German scientist using larvae to turn Singapore’s food waste into gold.singaporeglobalnetwork.gov.sg
  13. 58Singapore Government. (n.d.). Research on food waste valorisation carried out by research institutes and institutes of higher learning (PDF).file.go.gov.sg
  14. 59A*STAR. (2021, 19 April). As Singapore grapples with a food waste problem, A*STAR’s scientists find ways to manage it.www.a-star.edu.sg
  15. 60Republic Polytechnic. (2026, 25 August). Transforming food waste into high-value functional ingredients.www.rp.edu.sg
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Checked on 12 October 2026.

  1. 61FoodNavigator-Asia. (2025, 21 August). Mottainai scales up okara-based tech, expands upcycled food portfolio.www.foodnavigator.com
  2. 62Singapore Management University. (n.d.). SMU-X: experiential learning through industry partnerships.blog.smu.edu.sg
  3. 63Singapore Institute of Technology. (n.d.). Offering students a gateway to the working world (Integrated Work Study Programme).www.singaporetech.edu.sg
  4. 64Rijksoverheid. (2025, 4 September). Voedselverspilling gedaald met 17% sinds 2015 (food waste down 17% since 2015).www.rijksoverheid.nl
  5. 65Leeds University Business School. (2021, 15 January). Using the lessons of lockdown to reduce household food waste.business.leeds.ac.uk
  6. 66ReFED. (n.d.). Insights Engine methodology.insights.refed.org
  7. 67The Ohio State University. (n.d.). Food Waste Collaborative.u.osu.edu
  8. 68National Environment Agency. (2021, May). Mandatory for diners to return dirty trays, crockery and clean table litter at hawker centres, coffeeshops and food courts.www.nea.gov.sg
  9. 69Sembcorp Industries, via SGX. (2025, March). Sembcorp completes sale of Sembcorp Environment to SBT Investment 2.links.sgx.com
  10. 70Eco-Business. (2023, 21 February). Food-sharing app Olio’s Singapore founding country head moves on after restructure.www.eco-business.com
  11. 71Singapore Food Agency. (2025, 4 November). SFA commits $42 million to drive breakthroughs in future foods and food safety.www.sfa.gov.sg
  12. 72National Environment Agency. (2019, 7 March). Food waste segregation for treatment by large commercial and industrial food waste generators to be mandatory from 2024.www.nea.gov.sg
  13. 73Food from the Heart. (2026). Annual Report 2025 (figures read from secondary summaries).www.foodfromtheheart.sg
  14. 74Ministry of Sustainability and the Environment. (2023, 23 February). Written reply to PQ on contamination rate for centralised recycling chutes.www.mse.gov.sg
Case study · Food waste in Singapore