Inaccurate economic performance assessment from flawed crew remuneration data

$100K-$1M annually from negotiating unfavorable contracts based on artificially low cost data; risk of reputational damage if crews later claim underpayment • $20K-$150K annually from supply chain risk: product recalls or brand damage if suppliers are exposed for unfair labor practices; loss of eco-certified feed premium if audits reveal wage underreporting • $50K-$250K annually from audit inefficiency, false certifications creating liability, and loss of certification contracts when audits fail post-certification; potential legal exposure for certifying exploitative labor practices

Manual crew-share formula recalculations in Excel; cross-referencing ledger entries with catch records and sales data; informal phone/email coordination with vessel captains to reconcile numbers • Manual interviews with crew; requests for settlement documents and catch records; side-by-side comparison of ledger wages vs. formula-calculated shares; written notes and spreadsheets compiled for audit reports • Manual requests for crew remuneration data from fleet operators; spot-check comparisons against historical catch records; ad-hoc Excel models to reverse-engineer true crew costs from fragmentary data