AI entity
Every one of those 1 sits in a single category, ai-research. Of the tracked stories, 1 of 1 also mention AI, the most common co-covered peer. Their average consequence score of 5 runs below the beat's 6.7 for that window.
Last mentioned: Mar 18, 2026
Entity pulse
Figures are computed live from our source-verified story record — see our methodology for how impact and sentiment are derived.
Every one of those 1 sits in a single category, ai-research. Of the tracked stories, 1 of 1 also mention AI, the most common co-covered peer. Their average consequence score of 5 runs below the beat's 6.7 for that window. Each story carries 2 original sources on average, compared with 2.5 for the broader beat in this window. Deep Knowledge Lab for Supply Chain and Logistics Research appears in 1 tracked AI story from March 18, 2026.
Computed from the 1 stories linked to this entity, with beat comparisons drawn from all 55 AI stories published in the same date window. Shares are omitted below five stories and comparisons below a twenty-story baseline.
Coverage cohort
Other entities that clear the same relevance threshold in stories also covering Deep Knowledge Lab for Supply Chain and Logistics Research. Shared-story counts are live from our verified record — not editorial picks.
MIT research scientist Elenna Dugundji argues that data quality and governance are the primary drivers of successful AI implementation in supply chains. Without rigorous data discipline and system integration, AI outcomes remain unreliable and fail to drive meaningful optimization.
Deep Knowledge Lab for Supply Chain and Logistics Research is linked from 1 story on this site, each scored at or above our 35% relevance threshold — see how these pages are built.
See something wrong on this page — a misattributed entity, a wrong stat, a broken source link? Report a data issue.
