Trend · rank 184 of 250

Lean inventories & just-in-time logistics

Firms hold low stocks of fuel, food, medicines and components to cut cost and have only partly rebuilt buffers since recent disruptions, so delivery delays still become stoppages in national supply.

Trade & InvestmentTrade, industry & supply chainslogisticsresiliencetrade

Second pass: Carried forward from the first pass, where it was Just-in-time logistics & thin inventories. Held by all three panel models.

Sensitivity and network position

Rank
184of 250
Sensitivity
8.3rank 151
Breadth
0of 20 scenarios High or above
PageRank
23.7rank 194
Eigenvector
0.5
Betweenness
5.6
Links
7trends at Moderate similarity or above
Composite
14.6

Attention over three years

How much this trend is read about on Wikipedia and searched for on Google, week by week, set against the typical trend in the list so that what moves every trend at once is taken out. 100 is this trend's own three-year average. The score measures public attention, which is not the same as the strength of the force: a trend can deepen unnoticed, and a news event can lift attention for a fortnight.

Now
110
Over a year
−19%Easing
Over three years
+70%
Peak
1833 Aug 2025
Sources
Bothagreement -0.78
Coverage
21languages · 53 nations

Trailing 4-week average. 100 is this trend’s three-year average.

By language

Wikipedia reading in each language edition where the trend’s pages are read enough to measure (21 of 28). Share is of all the readers counted.

LanguageShareNowOver a yearThree years
English48%106+22%
Russian9%92−0%
Spanish7%86−15%
German6%83+2%
French6%73−21%
Japanese5%86−3%
Chinese4%100+29%
Italian3%77−6%
Portuguese2%71−17%
Swedish1%77−10%
Polish1%72−22%
Dutch1%68−17%
Turkish1%82−21%
Ukrainian1%83−31%
Korean1%74−31%
Vietnamese1%59−23%
Thai1%44−66%
Persian1%67−10%
Hebrew0%193+19%
Arabic0%106+46%
Indonesian0%53−33%

By country

Google search interest over the three years, as a share of each country’s searching. 100 is the nation where interest is highest. The search terms are English, which favours countries that search in English.

South Korea

Singapore

United States

Netherlands

Canada

Australia

United Arab Emirates

New Zealand

United Kingdom

Israel

Philippines

Taiwan

100

88

56

41

38

30

27

26

26

25

24

23

The 12 highest of 53 nations with a reading.

By region and G20 member

Attention to this trend inside each place, from Google searches made in its countries and Wikipedia reading in the languages mostly read there, averaged where both exist. Each line compares the trend with its own past in that place; the lines do not compare places.

Regions

PlaceRead fromNow90 days1 year3 yearsThree years
North AmericaGoogle in 2 countries + Wikipedia in English105−23%−8%+14%
EuropeGoogle in 4 countries + Wikipedia in German, French, Italian, Polish, Dutch, Swedish97−8%+17%−4%
Indo-PacificGoogle in 5 countries + Wikipedia in Japanese, Chinese, Korean, Vietnamese, Indonesian, Thai104−32%+41%+14%
South AsiaGoogle in 1 country111−46%+37%+87%
Gulf and Middle EastGoogle in 1 country + Wikipedia in Persian, Arabic, Turkish, Hebrew97−27%+48%−11%
Latin America and CaribbeanGoogle in 4 countries + Wikipedia in Spanish, Portuguese74−18%−21%−29%
Russia and EurasiaWikipedia in Russian, Ukrainian90−11%−8%−16%

G20 members

PlaceRead fromNow90 days1 year3 yearsThree years
AustraliaGoogle108−61%+126%+218%
BrazilGoogle + Wikipedia in Portuguese80−24%−6%−18%
CanadaGoogle105−46%+37%+22%
FranceGoogle + Wikipedia in French91+12%−13%−11%
GermanyWikipedia in German83−11%+2%−26%
IndiaGoogle111−46%+37%+87%
IndonesiaGoogle + Wikipedia in Indonesian95−15%+27%−5%
ItalyWikipedia in Italian77−6%−6%−35%
JapanGoogle + Wikipedia in Japanese99−50%+47%+33%
South KoreaWikipedia in Korean74−30%−31%−4%
MexicoGoogle64+19%−45%−48%
RussiaWikipedia in Russian92−7%−0%−20%
TürkiyeGoogle + Wikipedia in Turkish85−23%+28%−27%
United KingdomGoogle234+20%+361%+311%
United StatesGoogle + Wikipedia in English105−21%−16%+15%

Relation to each scenario

A trend relates to a scenario when it changes how likely the scenario is, how hard it lands, or is itself sharply changed by it. Each score is the median of three scores given separately by the members of the model panel.

RelationScenarioFamily
3 · ModerateA regional war closes a globally important sea route S03Geopolitical and security
3 · ModerateA major disaster disables the national economic core S07Energy, climate and resources
2 · LowCritical trade divides into rival blocs S01Economic and trade
1 · Very lowTwo breadbasket failures trigger a food availability crisis S06Energy, climate and resources
1 · Very lowA novel respiratory pathogen exceeds health surge capacity S10Health
0 · Not relatedA global funding seizure reaches sovereign balance sheets S02Economic and trade
0 · Not relatedHybrid coercion ends in an infrastructure blackout S04Geopolitical and security
0 · Not relatedA disputed transfer of power breaks effective government S05Geopolitical and security
0 · Not relatedAn AI deployment step causes abrupt labour displacement S08Technology and infrastructure
0 · Not relatedA cryptographic breakthrough invalidates digital trust S09Technology and infrastructure
0 · Not relatedA creditor agreement releases fiscal capacity S11 ↗Economic and trade
0 · Not relatedA cross-regional market access compact redirects investment S12 ↗Economic and trade
0 · Not relatedA great-power agreement lowers economic security barriers S13 ↗Geopolitical and security
0 · Not relatedA verified Middle East settlement restores access S14 ↗Geopolitical and security
0 · Not relatedCheap firm clean power becomes available at scale S15 ↗Energy, climate and resources
0 · Not relatedA validated farming package raises water-efficient output S16 ↗Energy, climate and resources
0 · Not relatedAI-directed research produces a reproducible discovery step S17 ↗Technology and infrastructure
0 · Not relatedA public service platform reaches inclusive operation S18 ↗Technology and infrastructure
0 · Not relatedAffordable preventive treatments reduce chronic illness S19 ↗Health
0 · Not relatedA live outbreak proves rapid distributed pandemic defence S20 ↗Health

Similarity = 0.3 × shared tags (Jaccard) + 0.3 × likeness of scenario profiles (cosine) + 0.3 × likeness of names and descriptions (TF-IDF cosine) + 0.1 if in the same capability domain, cut into seven levels at 0.12, 0.22, 0.33, 0.45, 0.58, 0.72. Shown at Moderate and above.

SimilarityTrendThemeRank
5 · Very highPort & carrier concentrationTrade, industry & supply chains94
3 · ModerateTrade corridor competitionTrade, industry & supply chains38
3 · ModerateStrategic stockpiles & reservesEnergy, networks & climate resilience66
3 · ModerateCritical input supplier concentrationTrade, industry & supply chains74
3 · ModerateSanctions circumvention networksTrade, industry & supply chains140
3 · ModerateEnergy import dependenceTrade, industry & supply chains141
3 · ModeratePharmaceutical input concentrationTrade, industry & supply chains160