Claude Organization

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• cd /home/claude/work && cp "Web Freight and distribution analysis FY26.xlsx" "Web Freight and distribution analysis FY26 (June update).xlsx"

  Claudia.Z@naturebaby.com · 7 Aug

• rm -rf /tmp/recalced4 && timeout 90 soffice --headless --convert-to xlsx:"Calc MS Excel 2007 XML" --outdir /tmp/recalced4 "/home/claude/work/Web Freight and distribution analysis FY26.xlsx" 2>&1 | tail -3 cd /tmp/recalced4 && python3 - <<'EOF' import openpyxl wb = openpyxl.load_workbook("Web Freight and distribution analysis FY26.xlsx", data_only=True) sh = wb["SH – June 2026"] print("SH Sales Budget: NZ",sh["C5"].value,"AU",sh["I5"].value,"HK",sh["O5"].value,"Total(U5)",sh["U5"].value) print("SH T5 (actual, should be unchanged 982133.71):", sh["T5"].value) print("SH GP after Dist (T21, should be unchanged 543425.09):", sh["T21"].value) print("SH COGS budget check: C8",round(sh["C8"].value,2),"I8",round(sh["I8"].value,2),"O8",round(sh["O8"].value,2)) usd = wb["NH – June 2026 USD"] print() print("NH-USD Sales Budget: USA",usd["C5"].value,"EU",usd["I5"].value,"UK",usd["O5"].value,"Total(U5)",usd["U5"].value) print("NH-USD T5 (actual, should be unchanged 55339.8):", usd["T5"].value) print("NH-USD T20 (GP after Dist, should be unchanged 28010.03):", usd["T20"].value) nzd = wb["NH – June 2026 NZD (0.58 FX)"] print() print("NH-NZD Sales Budget: USA",nzd["C5"].value,"EU",nzd["I5"].value,"UK",nzd["O5"].value,"Total(U5)",nzd["U5"].value) print("NH-NZD T21 (GP after Dist, should be unchanged ~48293.16):", nzd["T21"].value) print() print("Grand total budget check (SH U5 + NH-NZD U5):", sh["U5"].value + nzd["U5"].value, " expected 1251178") EOF

  Claudia.Z@naturebaby.com · 7 Aug

• cd /home/claude/work && python3 - <<'EOF' import openpyxl SRC = "Web Freight and distribution analysis FY26.xlsx" wb = openpyxl.load_workbook(SRC, data_only=False) sh = wb["SH – June 2026"] usd = wb["NH – June 2026 USD"] nzd = wb["NH – June 2026 NZD (0.58 FX)"] FX = 0.58 # ---------------- SH sheet: corrected June sales targets ---------------- sh_bud = {"NZ":636054.0, "AU":487188.0, "HK":2507.0} # was NZ 636051 / AU 487187 / HK 2509 sh_total = sum(sh_bud.values()) sh_share = {k: v/sh_total for k,v in sh_bud.items()} sh["C5"], sh["I5"], sh["O5"] = sh_bud["NZ"], sh_bud["AU"], sh_bud["HK"] sh["U5"] = sh_total # COGS (row8) and Local Freight (row14) budgets are proportional-by-sales-share -> recompute sh["C8"] = sh_total_budget_cogs = 348140.0 * sh_share["NZ"] sh["I8"] = 348140.0 * sh_share["AU"] sh["O8"] = 348140.0 * sh_share["HK"] sh["C14"] = 34983.0 * sh_share["NZ"] sh["I14"] = 34983.0 * sh_share["AU"] sh["O14"] = 34983.0 * sh_share["HK"] # Overseas Freight (row15) and Packaging/3PL/Storage (17-19) use fixed cost-driver ratios # (not sales-share), so they're unaffected by this correction — left as-is. # ---------------- NH sheet: corrected June sales targets ---------------- nh_bud_nzd = {"USA":104524.0, "EU":8362.0, "UK":12543.0} # was USA 104525 / EU 8363 / UK 12543 nh_total_nzd = sum(nh_bud_nzd.values()) nh_share = {k: v/nh_total_nzd for k,v in nh_bud_nzd.items()} # USD sheet — Sales row: exact conversion at 0.58 usd["C5"] = nh_bud_nzd["USA"] * FX usd["I5"] = nh_bud_nzd["EU"] * FX usd["O5"] = nh_bud_nzd["UK"] * FX usd["U5"] = nh_total_nzd * FX # USD sheet — expense-line budgets: recompute with corrected shares for row, total in [(8,21191.0/1.0)]: pass budget_totals = {8:21191.0, 14:3449.0, 15:1907.0, 16:180.0, 17:2119.0, 18:1144.0} for row, total in budget_totals.items(): usd[f"C{row}"] = f"=SUM($U${row}*{nh_share['USA']:.6f})" usd[f"I{row}"] = f"=SUM($U${row}*{nh_share['EU']:.6f})" usd[f"O{row}"] = f"=SUM($U${row}*{nh_share['UK']:.6f})" # NZD sheet — Sales row is a direct literal input (not cross-referenced), update directly nzd["C5"] = nh_bud_nzd["USA"] nzd["I5"] = nh_bud_nzd["EU"] nzd["O5"] = nh_bud_nzd["UK"] nzd["U5"] = nh_total_nzd # NZD sheet's other budget cells (C8,I8,O8 etc.) are cross-sheet formulas pulling from the USD sheet, # so they'll pick up the correction automatically once the USD sheet recalculates. wb.save(SRC) print("SH sales budget (NZD):", sh_bud, "total", sh_total) print("NH sales budget (NZD):", nh_bud_nzd, "total", nh_total_nzd) print("NH sales budget (USD):", {k: round(v*FX,2) for k,v in nh_bud_nzd.items()}, "total", round(nh_total_nzd*FX,2)) print("Saved.") EOF

  Claudia.Z@naturebaby.com · 7 Aug

• python3 - <<'EOF' sh_bud = {"NZ":636054.0, "AU":487188.0, "HK":2507.0} sh_total = sum(sh_bud.values()) sh_share = {k: v/sh_total for k,v in sh_bud.items()} print("SH total:", sh_total, "shares:", sh_share) nh_bud_nzd = {"USA":104524.0, "EU":8362.0, "UK":12543.0} nh_total = sum(nh_bud_nzd.values()) nh_share = {k: v/nh_total for k,v in nh_bud_nzd.items()} print("NH total NZD:", nh_total, "shares:", nh_share) print("Grand total:", sh_total+nh_total) FX=0.58 print("NH budget USD:", {k: round(v*FX,2) for k,v in nh_bud_nzd.items()}, "total USD:", round(nh_total*FX,2)) EOF

  Claudia.Z@naturebaby.com · 7 Aug

• cd /home/claude/work && cp "Web Freight and distribution analysis FY26.xlsx" "Web Freight and distribution analysis FY26 (June update).xlsx"

  Claudia.Z@naturebaby.com · 7 Aug

• rm -rf /tmp/recalced3 && timeout 90 soffice --headless --convert-to xlsx:"Calc MS Excel 2007 XML" --outdir /tmp/recalced3 "/home/claude/work/Web Freight and distribution analysis FY26.xlsx" 2>&1 | tail -3 cd /tmp/recalced3 && python3 - <<'EOF' import openpyxl wb = openpyxl.load_workbook("Web Freight and distribution analysis FY26.xlsx", data_only=True) for sheet in ["NH – June 2026 USD", "NH – June 2026 NZD (0.58 FX)"]: ws = wb[sheet] print("="*70, sheet) for row,label in [(8,"COGS"),(9,"Total COS"),(10,"GP after COGS (should stay blank/region)")]: vals = {col: ws[f"{col}{row}"].value for col in ["B","C","D","E","H","I","J","K","N","O","P","Q","T","U"]} print(label, vals) EOF

  Claudia.Z@naturebaby.com · 7 Aug

• cd /home/claude/work && python3 - <<'EOF' import openpyxl SRC = "Web Freight and distribution analysis FY26.xlsx" wb = openpyxl.load_workbook(SRC, data_only=False) usd = wb["NH – June 2026 USD"] nzd = wb["NH – June 2026 NZD (0.58 FX)"] FX = 0.58 # --- USD sheet: fill in EU COGS (derived from Claudia's combined Shopify pull) --- usd["H8"] = 1708.58 # EU = combined USA+EU+UK ($20,741.37) minus USA ($18,483.68) minus UK ($549.11) # Now that COGS actual is known for all three regions, restore region-level "Total Cost of Sales" # (row 9) — it only depends on COGS (row8), not Sales, so it's reliable again. usd["B9"] = "=SUM(B8)" usd["C9"] = "=SUM(C8)" usd["D9"] = '=IFERROR(B9-C9,"-")' usd["E9"] = '=IFERROR((B9-C9)/C9,"-")' usd["H9"] = "=SUM(H8)" usd["I9"] = "=SUM(I8)" usd["J9"] = '=IFERROR(H9-I9,"-")' usd["K9"] = '=IFERROR((H9-I9)/I9,"-")' usd["N9"] = "=SUM(N8)" usd["O9"] = "=SUM(O8)" usd["P9"] = '=IFERROR(N9-O9,"-")' usd["Q9"] = '=IFERROR((N9-O9)/O9,"-")' # Row 10/11 (GP after COGS / GP%) stay cleared at region level — still depend on Sales, which # remains unavailable by region. usd["AD8"] = ("USA/UK/EU COGS all sourced from Claudia's Shopify \"Cost of goods sold by order\" pulls " "(June 1-30, 2026): USA $18,483.68, UK $549.11, EU $1,708.58 (= combined USA+EU+UK total " "of $20,741.37 minus USA and UK). DATA DISCREPANCY: that Shopify combined total " "($20,741.37) does not match the accountant's Xero total for the combined Web branch " "($18,916.56, Budget Variance US tab, Jun 2026) — a gap of $1,824.81. The Total column " "(T8) here uses the Xero figure as the reconciled/authoritative number; the USA/EU/UK " "regional split above is on a Shopify billing-country basis and won't sum exactly to it.") # --- NZD sheet: mirror via cross-reference, and restore row 9 the same way --- nzd["H8"] = f"=SUM('NH – June 2026 USD'!H8)/{FX}" nzd["B9"] = "=SUM(B8)" nzd["C9"] = "=SUM(C8)" nzd["D9"] = '=IFERROR(B9-C9,"-")' nzd["E9"] = '=IFERROR((B9-C9)/C9,"-")' nzd["H9"] = "=SUM(H8)" nzd["I9"] = "=SUM(I8)" nzd["J9"] = '=IFERROR(H9-I9,"-")' nzd["K9"] = '=IFERROR((H9-I9)/I9,"-")' nzd["N9"] = "=SUM(N8)" nzd["O9"] = "=SUM(O8)" nzd["P9"] = '=IFERROR(N9-O9,"-")' nzd["Q9"] = '=IFERROR((N9-O9)/O9,"-")' nzd["AD8"] = ("See 'NH – June 2026 USD' row 8 note. EU COGS derived as combined USA+EU+UK Shopify " "total ($20,741.37) minus USA and UK. That Shopify combined total doesn't match the " "Xero total used for the Total column here — see note on the USD tab for the $1,824.81 gap.") wb.save(SRC) print("Updated EU COGS and restored region-level Total Cost of Sales.") EOF

  Claudia.Z@naturebaby.com · 7 Aug

• python3 - <<'EOF' diff = 20741.37 - 18483.68 - 549.11 print("EU COGS (Shopify-derived):", round(diff,2)) print("Shopify combined total (USA+EU+UK):", 20741.37) print("Xero/accountant combined total:", 18916.56) print("Gap:", round(20741.37-18916.56,2)) EOF

  Claudia.Z@naturebaby.com · 7 Aug

• cd /home/claude/work && cp "Web Freight and distribution analysis FY26.xlsx" "Web Freight and distribution analysis FY26 (June update).xlsx" && ls -la

  Claudia.Z@naturebaby.com · 7 Aug

• rm -rf /tmp/recalced2 && timeout 90 soffice --headless --convert-to xlsx:"Calc MS Excel 2007 XML" --outdir /tmp/recalced2 "/home/claude/work/Web Freight and distribution analysis FY26.xlsx" 2>&1 | tail -3 cd /tmp/recalced2 && python3 - <<'EOF' import openpyxl wb = openpyxl.load_workbook("Web Freight and distribution analysis FY26.xlsx", data_only=True) checks = [ ("SH – June 2026", "T5", 982133.71), ("SH – June 2026", "T10", 685150.04), ("SH – June 2026", "T21", 543425.09), ("SH – June 2026", "B21", 327041.73), ("SH – June 2026", "H21", 218382.63), ("SH – June 2026", "N21", 565.85), ("NH – June 2026 USD", "T5", 55339.80), ("NH – June 2026 USD", "T19", 8413.21), ("NH – June 2026 USD", "T20", 28010.03), ("NH – June 2026 NZD (0.58 FX)", "T20", 14505.53), ("NH – June 2026 NZD (0.58 FX)", "T21", 48293.16), ] ok = True for sheet, cell, expected in checks: v = wb[sheet][cell].value match = abs(v - expected) < 0.5 ok &= match print(f"{sheet} {cell}: {v} (expected ~{expected}) {'OK' if match else 'MISMATCH'}") print("ALL OK" if ok else "SOME MISMATCHES") EOF

  Claudia.Z@naturebaby.com · 7 Aug

• cd /home/claude/work && python3 - <<'EOF' import openpyxl wb = openpyxl.load_workbook("Web Freight and distribution analysis FY26.xlsx", data_only=False) for name in ["SH – June 2026", "NH – June 2026 NZD (0.58 FX)", "NH – June 2026 USD"]: ws = wb[name] print(name, "A1:", ws["A1"].value) sh = wb["SH – June 2026"] print("C30:", sh["C30"].value, "| C31:", sh["C31"].value) # clean up stray May-era scratch notes sh["C30"] = None sh["C31"] = None # quick formatting spot-check b5 = sh["B5"] print("B5 numfmt:", b5.number_format, "font size:", b5.font.size) b11 = sh["B11"] print("B11 numfmt:", b11.number_format) wb.save("Web Freight and distribution analysis FY26.xlsx") print("Saved final cleanup.") EOF

  Claudia.Z@naturebaby.com · 7 Aug

• rm -rf /tmp/recalced && timeout 90 soffice --headless --convert-to xlsx:"Calc MS Excel 2007 XML" --outdir /tmp/recalced "Web Freight and distribution analysis FY26.xlsx" 2>&1 | tail -3 cd /tmp/recalced && python3 - <<'EOF' import openpyxl wb = openpyxl.load_workbook("Web Freight and distribution analysis FY26.xlsx", data_only=True) print("### SH – June 2026 — full region check (Total row, key lines) ###") ws = wb["SH – June 2026"] for row,label in [(5,"Total Sales"),(9,"Total COS"),(10,"GP after COGS"),(20,"Total Dist Exp"),(21,"GP after Dist")]: vals = {col: ws[f"{col}{row}"].value for col in ["B","C","H","I","N","O","T","U"]} print(label, vals) print() print("### NH – June 2026 USD — key rows ###") ws = wb["NH – June 2026 USD"] for row,label in [(5,"Total Sales"),(8,"COGS"),(9,"Total COS"),(10,"GP after COGS"),(15,"Overseas Freight"),(19,"Total Dist Exp"),(20,"GP after Dist"),(21,"GP%")]: vals = {col: ws[f"{col}{row}"].value for col in ["B","C","H","I","N","O","T","U"]} print(label, vals) print() print("### NH – June 2026 NZD (0.58 FX) — key rows ###") ws = wb["NH – June 2026 NZD (0.58 FX)"] for row,label in [(5,"Total Sales"),(8,"COGS"),(9,"Total COS"),(10,"GP after COGS"),(11,"GP%"),(15,"Overseas Freight"),(20,"Total Dist Exp"),(21,"GP after Dist"),(22,"GP%")]: vals = {col: ws[f"{col}{row}"].value for col in ["B","C","H","I","N","O","T","U"]} print(label, vals) EOF

  Claudia.Z@naturebaby.com · 7 Aug