Paste your weekly FBA numbers — get a complete HTML business dashboard with revenue waterfall chart, true profit after all fees, ACoS/TACoS analysis, SKU performance table, weekly wins and warnings, and a data-driven next week action plan. No API connection needed.
Builds a polished Excel financial model for any company. Give it a public company ticker (data pulled automatically from Yahoo Finance and SEC EDGAR) or a private company spreadsheet, and it outputs a fully formatted .xlsx with a 3-statement model (Income Statement, Balance Sheet, Cash Flow) plus DCF valuation — 5 years historical, 5 years projected, WACC build-up, and a sensitivity table.
Get a clean per-unit Amazon profit breakdown after every fee — referral, FBA, storage, landed COGS, PPC, and returns. See your true net margin, ROI on cost, and break-even ACoS, plus a sensitivity table and a ranked list of where your money leaks. Built for FBA/FBM sellers pricing new SKUs, auditing margins, comparing suppliers, or checking if a price cut still pays. Estimates from your inputs — verify against Seller Central.
A premium AI financial advisor for CFOs and business leaders that analyzes profitability, margins, costs, cash flow, pricing, and financial risks to deliver clear executive insights and prioritized financial actions.
Know which paycheck pays which bill: per-paycheck allocation plans with shortfall warnings, sinking funds, and what-if analysis. Your financial data never leaves your machine.
Build auditable Excel financial models with live formulas, sourced inputs, automated checks, and sensitivity analysis—all generated headlessly with openpyxl.
Turn factory data into a bottleneck, capacity, and layout-risk decision.
Audit RFP and tender packages, trace every requirement to its source, flag proposal gaps, and generate a compliance matrix, prioritized gap report, and submission checklist.
Turn local research hypotheses into traceable evidence. Validate daily CSVs, compare predeclared moving-average strategies with chronological holdouts, stress transaction costs, and independently audit results. Includes a Python standard-library lab, visual HTML reports and optional local Vibe-Trading helpers. Analysis and offline simulation only; no access to real user accounts.