Flagship evidence library

Post-Mortems

The flagship section and ChainSignal's primary moat: named, dated, numbers-backed accounts of real supply-chain AI/planning deployments (o9, Blue Yonder, Kinaxis, RELEX, Anaplan, SAP IBP, Oracle SCM and others), each documenting what was deployed, what happened, and what it cost or saved. Every entry is sourced from public record (earnings calls, lawsuits, layoffs, trade press, executive interviews, SEC filings) with visible dates and citations — never fabricated or extrapolated. Boundary: this group holds only deployment-specific accounts tied to a named organization and a named vendor; generic industry commentary without a named case belongs in Use-Case Analyses, and forward-looking checklists belong in Implementation Readiness. Serves the trust and verification stage of the decision journey and is the evidence base that Readiness and Use-Case content link back into.

1 documented deployment matching “partial success”

partial success

AI Demand Planning at a Pharmaceutical Distributor: A Partial-Success Case Study

A structured composite case study documenting how a mid-size pharmaceutical distributor achieved measurable AI forecast accuracy gains in stable SKU categories while experiencing stalled adoption and eroded planner trust in high-complexity product lines — and what the deployment team did to partially recover. Designed as a diagnostic tool for demand planning leads and supply chain directors evaluating, piloting, or post-go-live on AI demand planning platforms in pharmaceutical distribution contexts.

Jun 4, 2026