Decision IntelWebvan Group
Webvan Online Grocery Delivery Collapse
Estimated impact: $830M in investor losses; 2,000 jobs
Webvan raised $375M in its IPO and spent $1B building automated warehouses in 10 cities before proving the model worked in even one. The company burned through cash building infrastructure for demand that didn't exist, filing for bankruptcy 18 months after going public.
Decision context
Whether to expand to 26 cities simultaneously with custom-built automated warehouses before demonstrating profitable unit economics in the initial market (San Francisco Bay Area).
What the company’s own filing already carried
Not our reading of a memo. Webvan Group's own 10-K405, filed 2000-03-30 (10 months before the 2001 decision), was read by the audit engine's deterministic structural layer: the same detectors that run on every audit, with no language model involved. Everything below is drawn from the company's own disclosure, before any knowledge of what followed, and never from the decision itself.
Would not absorb the hit: if the flagged risk fires, nothing disclosed in the structure would materially absorb that loss.
- Supplier concentrationunprotected
- This reads the company's own 10-K405 (filed 10 months before the decision), not the decision memo itself, so it can only understate what a full audit of the memo would surface.
- It reads the structure of the situation, not the trigger: whether a shock to the flagged conditions would be absorbed, never that a shock arrives.
- A reading of a dated filing, not a prediction: every condition can be checked against the company's own 10-K405.
Decision anatomy
Red = risk factor present · Green = protective factor present
Biases present in the decision
★ Primary driver · Severity estimated from bias type and decision outcome
Toxic combinations
The curated library this case sits in
Across all 155 curated case studies in our library, by documented outcome:
The library is curated toward documented failures, so this split describes the library, not the base rate of deals. The case above is one row in it.
Lessons learned
- Planning fallacy: expanding to 26 cities before proving one is the canonical startup over-expansion error
- Recency bias from dot-com era: investors and executives assumed internet growth rates applied to physical logistics
- The model Webvan tried (online grocery with same-day delivery) eventually worked — 20 years later, with different economics
Source: Webvan SEC filing S-1 (1999); Randall Stross, "eBoys" (2000) (SEC Filing)
These patterns were flaggable in Webvan Group's own record — before the outcome.
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Workflows that fire on decisions like Webvan Group’s
The same Recognition-Rigor Framework that documents this case audits memos in the same shape — before the outcome forces the lesson.