Seedlabs

Supplier Flood Exposure Scorecard

A tool for buyers to see which of their suppliers are in flood zones and might stop producing.

A procurement screening service that maps suppliers' factory sites against flood zones and flags which ones face multi-year damage — so buyers can line up second sources before the next flood.

Environmental ScienceFlood Risk Assessment and Management
Urban Stormwater and Fluid ManagementAutomotive and aerospace procurement: supplier risk screening and continuity planning.

Concept

A screening service for procurement and supply-chain teams at manufacturers. The buyer supplies its supplier master data (site addresses); the service geocodes every production site, overlays flood-hazard maps, and returns a per-supplier score with three components: inundation likelihood, expected financial damage if flooded (from measured asset-loss rates), and a persistence flag reflecting the finding that flood damage compounds over years rather than rebounding. The deliverable is a ranked watchlist with concrete next actions for the top-exposed suppliers — safety stock, a qualified second source, or a contractual requirement to flood-proof a critical line. The wedge: flood exposure enters supplier qualification the same way financial-health screening already does.

Why now

The new study [0] shows that a flooded European manufacturing firm is not a one-quarter outage: total assets fall about 2% the year after an average flood and keep deteriorating to roughly 5% seven years out, with elevated survival risk. That persistence is what makes pre-emptive supplier screening economically rational — a flooded supplier degrades for years — and the study's method (geolocating individual firms against granular flood-hazard maps) is precisely the pipeline this scorecard industrializes across a buyer's whole supplier base.

Written by GLM · 13 Oct 2026

AI assessment

Backed by 1 paper88

A highly focused, evidence-backed risk screening tool that transforms a specific academic finding on long-term asset degradation into a high-value procurement wedge.

Evidence strength
5/5
The idea directly industrializes the specific methodology and findings of the cited paper, specifically the long-term (7-year) asset deterioration and survival risk.
Market pull
4/5
High-value industries like automotive and aerospace have extreme sensitivity to single-point-of-failure risks and existing budgets for supplier continuity planning.
Novelty & moat
3/5
While similar to the 'Flood-Proofing Payback Calculator', it shifts the user from the factory CFO to the buyer's procurement team, creating a distinct commercial application.
Feasibility
5/5
The pipeline (geocoding addresses and overlaying existing flood-hazard maps) is a straightforward data engineering task with no R&D risk.
Wedge clarity
5/5
The wedge is sharp: integrating flood exposure into the existing supplier qualification process, mirroring current financial health screenings.
Simplicity / focus
5/5
The product is a single, focused scorecard with a clear input (addresses) and output (ranked risk list), avoiding platform creep.

Scored by Gemma 4 · 13 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.

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Who benefits

  • BMWcompany

    Runs just-in-time European production with a dense regional supplier base; knowing which supplier sites sit in flood zones with multi-year damage profiles lets it pre-qualify second sources before the next event.

  • Airbus SEcompany

    Depends on single-source European suppliers for certified parts; a flood-exposure scorecard slots directly into its existing supplier-risk screening and protects delivery schedules.

  • Stellantis N.V.company

    European plants rely on thousands of regional suppliers, some in flood-prone basins; the scorecard prioritizes which relationships need safety stock or contractual flood-proofing clauses.

  • SAP SEcompany

    Could embed the flood-exposure score into SAP Ariba's supplier-risk modules, extending its procurement intelligence offering with a physical-climate dimension backed by measured damage rates.

Research it builds on

  1. Floods and firms: Vulnerabilities and resilience to natural disasters in Europe
    Serena Fatica, Gabor Katay, Michela Rancan · 2026 · 75 citations
    All ideas from this paper →
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feasibility