Centro de análisis de costos & Pricing

¿Cómo funciona esta calculadora? Ingresa los datos de tu producto en los bloques correspondientes y el sistema calculará automáticamente el PVP BRUTO ML (precio de venta al público en el marketplace), verificando que el margen objetivo quede garantizado después de descontar todos los fees de la plataforma. La fórmula base es: PVP BRUTO ML = ($ A Recibir + Cargo Fijo + Envío) ÷ (1 − Comisión%) donde $ A Recibir = PV NETO ML × (1 + IVA%) y PV NETO ML = Costo Neto ÷ (1 − Margen%).

01Parámetros base — ingresa costo neto, PVP publicado e IVA

02Margen objetivo — selecciona el % de ganancia sobre ventas

03Marketplace — elige la plataforma y configura sus fees

04Construcción — revisa el PVP BRUTO ML calculado

05Pricing Test — testea cualquier precio para ver su margen real

06Competencia — añade competidores y analiza el mercado

Parámetros base

Costo neto del producto

CLP

PVP publicado del producto

CLP

IVA %

Costo neto $0

Costo + IVA $0

Margen objetivo sobre ventas

Ajuste fino 0%

Selecciona el marketplace

Mercado Libre

Comisión ref.: 0%

Falabella

Comisión ref.: 0%

Walmart

Comisión ref.: 0%

Paris

Comisión ref.: 0%

BICE Store

Comisión ref.: 0%

% Comisión del marketplace

Cargo fijo por venta (CLP)

Costo de envío (CLP)

Pricing Test

Pricing Test — Mercado Libre

—

Comisión ML

–

Cargo fijo

–

Envío

–

Total fees

–

$ A recibir

–

Costo neto

–

Ganancia $

–

Margen s/ventas

–

Margen s/costo

–

Margen s/costo+IVA

–

Distribución del PVP $0

Costo –

Ganancia –

Fees ML –

📊 Análisis de competencia

URL / Referencia Nombre PVP publicado

vs. mi PVP

PVP mínimo competencia

—

PVP máximo competencia

—

PVP promedio competencia

—

Mi PVP óptimo ML

—

Punto de equilibrio — posicionamiento de precio

Agrega competidores para ver el gráfico

Construcción del precio óptimo — Mercado Libre · 0% margen s/ventas

Costo NETO

base de cálculo

(1 − 0%)

PVP NETO

sin IVA

IVA 0%

impuesto

$ A Recibir

lo que recibes de ML

Costo neto del producto$0

÷ (1 − 0%) — margen sobre ventas÷ 1,00

= PVP NETO (ganancia incluida)$0

Ganancia contenida en PVP NETO$0

+ IVA (0%)$0

= $ A Recibir — PV NETO ML × (1+IVA%) — lo que recibes antes de fees$0

Fees del marketplace: Mercado Libre

− Comisión (0% aplicado sobre el PVP publicado) $0

− Cargo fijo por venta $0

− Costo de envío $0

Total fees marketplace $0

PVP a publicar en ML $0

vs. PVP publicado del producto ($0) –

Escenarios de envío

Fórmula: PVP NETO = Costo ÷ (1−margen%) · PVP BRUTO = PVP NETO × (1+IVA%) · PVP ML = (PVP NETO + cargo fijo + envío) ÷ (1−comisión%) · Cargo fijo estimado desde planilla: $3.150 − 12%×$18.990 = $871

🕐 Historial de análisis

Sin análisis guardados. Usa el botón para guardar el estado actual.

El historial se guarda en tu navegador (localStorage). Máximo 20 entradas. Se mantiene al cerrar y reabrir el archivo.

⬇ Exportar análisis

🌐

Reporte HTML

Archivo interactivo con todos los resultados del análisis actual. Ábrelo en cualquier navegador sin conexión.

Parámetros base Construcción de precio Pricing Test Competidores Escenarios de envío

📄

Reporte PDF

Documento profesional multipágina — un módulo por página, con texto descriptivo de cada resultado. Ideal para compartir o archivar.

Portada Parámetros Precio óptimo Pricing Test Competidores Escenarios

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Verifica tu conexión.'; st.className = 'export-status err'; btn.disabled = false; return; } st.textContent = 'Generando PDF...'; try { const { jsPDF } = window.jspdf; const doc = new jsPDF({ orientation:'portrait', unit:'mm', format:'a4' }); const s = getState(); const now = new Date().toLocaleString('es-CL'); const W=210, H=297, ML=14, MR=196, CW=182; // ── Palette ── const BG=[12,12,12], BG2=[22,22,22], SURF=[32,32,32], SURF2=[42,42,42]; const WHT=[245,245,245], MUT=[150,150,150], MUT2=[100,100,100]; const ACC=[220,220,220]; const POS=[80,160,80], NEG=[180,60,60], WRN=[160,120,40]; const POS_BG=[20,45,20], NEG_BG=[50,15,15], WRN_BG=[50,38,10]; const POS_BD=[50,130,50], NEG_BD=[150,50,50], WRN_BD=[140,100,20]; const LOGO_B64 = 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"; function f(a){ doc.setFillColor(a[0],a[1],a[2]); } function t(a){ doc.setTextColor(a[0],a[1],a[2]); } function d(a){ doc.setDrawColor(a[0],a[1],a[2]); } function fP(n){ return isNaN(n)||!isFinite(n)?'$0':'$'+Math.round(n).toLocaleString('es-CL'); } function pP(n){ return isNaN(n)||!isFinite(n)?'0.0%':n.toFixed(1)+'%'; } function vC(v,thr){ return v>=thr?POS:v>0?WRN:NEG; } // ── Page state ── let curY = 0; const FOOTER_H = 12; const SAFE_BOTTOM = H - FOOTER_H - 4; function ensureSpace(needed) { if (curY + needed > SAFE_BOTTOM) { addPageContinue(); } } function addPageContinue() { pageFooter(doc.internal.getCurrentPageInfo().pageNumber, '...'); doc.addPage(); bgPage(); curY = 14; } function bgPage() { f(BG); doc.rect(0,0,W,H,'F'); } function pageFooter(pg, total) { f(BG2); doc.rect(0,H-FOOTER_H,W,FOOTER_H,'F'); t(MUT2); doc.setFontSize(6.5); doc.setFont('helvetica','normal'); doc.text('Centro de análisis de costos & Pricing — Volcano', ML, H-4); doc.text('Pág. '+pg+(total!=='...'?' de '+total:'')+' · '+now, MR, H-4, {align:'right'}); } // Wrap-aware alert box — returns new Y function alertBox(x, y, w, text, type) { const bgC = type==='ok'?POS_BG : type==='warn'?WRN_BG : NEG_BG; const bdC = type==='ok'?POS_BD : type==='warn'?WRN_BD : NEG_BD; const txC = type==='ok'?POS : type==='warn'?WRN : NEG; const lines = doc.splitTextToSize(text, w-10); const boxH = Math.max(12, lines.length*4.8 + 6); ensureSpace(boxH + 3); f(bgC); doc.rect(x,curY,w,boxH,'F'); f(bdC); doc.rect(x,curY,2.5,boxH,'F'); d(bdC); doc.setLineWidth(0.25); doc.rect(x,curY,w,boxH,'S'); t(txC); doc.setFontSize(7.5); doc.setFont('helvetica','normal'); doc.text(lines, x+5, curY+5.5, {lineHeightFactor:1.4}); curY += boxH + 4; } // Section header bar function sectionBar(label) { ensureSpace(12); f(SURF); doc.rect(ML,curY,CW,7,'F'); f(ACC); doc.rect(ML,curY,2.5,7,'F'); t(WHT); doc.setFontSize(8); doc.setFont('helvetica','bold'); doc.text(label, ML+5, curY+5); curY += 11; } // KV card — returns next x (horizontal flow) function kvCard(x, y, w, label, val, valC) { f(SURF2); doc.rect(x,y,w-1,14,'F'); t(MUT); doc.setFontSize(6); doc.setFont('helvetica','normal'); doc.text(label, x+2, y+4.5); t(valC||WHT); doc.setFontSize(9); doc.setFont('helvetica','bold'); doc.text(val, x+2, y+11.5); } // Table row function tableRow(label, val, valC, indent, subtotal) { const rowH = 6.5; ensureSpace(rowH + 1); if(subtotal){ f(SURF2); doc.rect(ML,curY-1,CW,rowH+1,'F'); } t(indent?MUT2:MUT); doc.setFontSize(7.5); doc.setFont('helvetica', subtotal?'bold':'normal'); const maxW = CW - 35; const lbl = doc.splitTextToSize(label, maxW - (indent?8:0)); doc.text(lbl, ML+(indent?6:2), curY+1.5); t(valC||WHT); doc.setFont('helvetica','bold'); doc.text(val, MR-2, curY+1.5, {align:'right'}); d(SURF2); doc.setLineWidth(0.15); doc.line(ML, curY+rowH-1, MR, curY+rowH-1); curY += rowH; } function grandTotal(label, val) { ensureSpace(18); f(SURF2); doc.rect(ML,curY,CW,14,'F'); d(ACC); doc.setLineWidth(0.4); doc.rect(ML,curY,CW,14,'S'); t(MUT); doc.setFontSize(7); doc.setFont('helvetica','normal'); doc.text(label, ML+3, curY+5.5); t(WHT); doc.setFontSize(16); doc.setFont('helvetica','bold'); doc.text(val, MR-2, curY+11, {align:'right'}); curY += 18; } function bodyText(text) { const lines = doc.splitTextToSize(text, CW); const needed = lines.length * 4.5 + 4; ensureSpace(needed); t(MUT); doc.setFontSize(7.5); doc.setFont('helvetica','normal'); doc.text(lines, ML, curY, {lineHeightFactor:1.4}); curY += needed; } function flowStrip(items) { ensureSpace(20); const fw = CW / items.length; items.forEach((fi,i)=>{ const hi = fi.hi; f(hi?SURF2:SURF); doc.rect(ML+i*fw,curY,fw-1,15,'F'); if(hi){ d(ACC); doc.setLineWidth(0.3); doc.rect(ML+i*fw,curY,fw-1,15,'S'); } t(MUT); doc.setFontSize(6); doc.setFont('helvetica','normal'); doc.text(fi.l, ML+i*fw+(fw-1)/2, curY+5, {align:'center'}); t(hi?WHT:ACC); doc.setFontSize(8.5); doc.setFont('helvetica','bold'); doc.text(fi.v, ML+i*fw+(fw-1)/2, curY+12, {align:'center'}); }); curY += 20; } function kvGrid(items, cols) { const colW = CW / cols; const rows = Math.ceil(items.length / cols); ensureSpace(rows * 16); items.forEach((it,i)=>{ const col = i % cols; const row = Math.floor(i / cols); kvCard(ML+col*colW, curY+row*16, colW, it.l, it.v, it.c); }); curY += rows * 16 + 4; } const PAGES = 6; // ═══════════════════════════════════════════ // PAGE 1 — PORTADA // ═══════════════════════════════════════════ bgPage(); // Top accent f(ACC); doc.rect(0,0,W,2,'F'); // Logo top-right try { doc.addImage(LOGO_B64,'PNG', W-62, 8, 50, 20); } catch(e) { /* logo optional */ } // Title block f(SURF); doc.rect(0,40,W,55,'F'); f([60,60,60]); doc.rect(0,40,3,55,'F'); t(MUT); doc.setFontSize(8); doc.setFont('helvetica','normal'); doc.text('ANÁLISIS DE COSTOS & PRICING', W/2, 36, {align:'center'}); t(WHT); doc.setFontSize(22); doc.setFont('helvetica','bold'); doc.text('Centro de análisis de', W/2, 54, {align:'center'}); doc.text('costos & Pricing', W/2, 67, {align:'center'}); t(MUT); doc.setFontSize(9); doc.setFont('helvetica','normal'); doc.text('Estrategia de pricing para posicionamiento web', W/2, 80, {align:'center'}); // Summary KVs curY = 105; kvGrid([ {l:'Costo neto', v:fP(s.costo), c:ACC}, {l:'Margen objetivo', v:pP(s.tgt), c:ACC}, {l:'PVP a publicar ML', v:fP(s.pvpML), c:WHT}, {l:'PVP web', v:fP(s.comp), c:WHT}, {l:'PVP NETO (sin IVA)', v:fP(s.pvpNeto), c:ACC}, {l:'PVP BRUTO (con IVA)',v:fP(s.pvpBruto), c:ACC}, ], 3); // Verdict alertBox(ML, curY, CW, s.diffComp<=0 ? '✓ Tu PVP óptimo ('+fP(s.pvpML)+') es '+fP(Math.abs(s.diffComp))+' más económico que el PVP web ('+fP(s.comp)+'). Precio competitivo con margen asegurado del '+pP(s.tgt)+'.' : '⚑ Tu PVP óptimo ('+fP(s.pvpML)+') está '+fP(s.diffComp)+' sobre el PVP web ('+fP(s.comp)+'). Evalúa reducir el costo de envío o ajustar el margen objetivo para mejorar tu competitividad.', s.diffComp<=0?'ok':'warn' ); // Contents list ensureSpace(60); t(MUT); doc.setFontSize(7); doc.setFont('helvetica','normal'); doc.text('CONTENIDO', ML, curY); curY += 5; ['1. Portada y resumen ejecutivo','2. Parámetros base y configuración','3. Construcción del precio óptimo','4. Pricing Test','5. Análisis de competencia','6. Escenarios de costo de envío'] .forEach((pg,i)=>{ f(i===0?SURF2:SURF); doc.rect(ML,curY,CW,7.5,'F'); t(i===0?ACC:MUT); doc.setFontSize(7.5); doc.setFont('helvetica',i===0?'bold':'normal'); doc.text(pg, ML+3, curY+5.2); curY += 8; }); pageFooter(1, PAGES); // ═══════════════════════════════════════════ // PAGE 2 — PARÁMETROS // ═══════════════════════════════════════════ doc.addPage(); bgPage(); f(ACC); doc.rect(0,0,W,2,'F'); // small logo header try { doc.addImage(LOGO_B64,'PNG', W-50, 4, 36, 14); } catch(e){} curY = 18; sectionBar('PARÁMETROS BASE'); kvGrid([ {l:'Costo neto', v:fP(s.costo), c:ACC}, {l:'Costo + IVA', v:fP(s.costoIva), c:WHT}, {l:'Comisión ML', v:pP(s.pct), c:MUT}, {l:'Cargo fijo ML', v:fP(s.fijo), c:MUT}, {l:'Costo envío', v:fP(s.ship), c:MUT}, {l:'IVA aplicado', v:pP(s.iva), c:MUT}, {l:'PVP web', v:fP(s.comp), c:WHT}, {l:'Margen objetivo', v:pP(s.tgt), c:ACC}, ], 4); sectionBar('FÓRMULA APLICADA'); f(SURF2); doc.rect(ML,curY,CW,18,'F'); t(MUT); doc.setFontSize(7); doc.setFont('helvetica','normal'); doc.text('La fórmula de margen sobre ventas calcula el porcentaje de ganancia sobre el precio de venta (no sobre el costo de compra).', ML+3, curY+5); t(ACC); doc.setFontSize(8); doc.setFont('helvetica','bold'); doc.text('PVP NETO = Costo ÷ (1 − margen%)', ML+3, curY+11); doc.text('PVP BRUTO = PVP NETO × (1 + IVA%)', ML+3+85, curY+11); doc.text('PVP ML = (PVP NETO + Fijo + Envío) ÷ (1 − comisión%)', ML+3, curY+16); curY += 22; bodyText('Con un costo neto de '+fP(s.costo)+' y un IVA del '+pP(s.iva)+', el desembolso real asciende a '+fP(s.costoIva)+'. La comisión de ML del '+pP(s.pct)+' se aplica sobre el PVP publicado. Sumado al cargo fijo de '+fP(s.fijo)+' y el costo de envío de '+fP(s.ship)+', el total de fees ML por venta es '+fP(s.totalFees)+'.'); pageFooter(2, PAGES); // ═══════════════════════════════════════════ // PAGE 3 — PRECIO ÓPTIMO // ═══════════════════════════════════════════ doc.addPage(); bgPage(); f(ACC); doc.rect(0,0,W,2,'F'); try { doc.addImage(LOGO_B64,'PNG', W-50, 4, 36, 14); } catch(e){} curY = 18; sectionBar('CONSTRUCCIÓN DEL PRECIO ÓPTIMO — '+activeMkp.toUpperCase()+' · '+pP(s.tgt)+' margen s/ventas'); flowStrip([ {l:'Costo NETO', v:fP(s.costo), hi:false}, {l:'÷ (1−'+s.tgt+'%)',v:'÷'+(1-s.m).toFixed(2), hi:false}, {l:'= PVP NETO', v:fP(s.pvpNeto), hi:true}, {l:'+ IVA '+s.iva+'%',v:'+'+fP(s.ivaAmt),hi:false}, {l:'= PVP BRUTO', v:fP(s.pvpBruto), hi:true}, ]); sectionBar('DESGLOSE DETALLADO'); tableRow('Costo neto del producto', fP(s.costo), MUT, false, false); tableRow('÷ (1 − '+s.tgt+'%) — margen sobre ventas','÷'+(1-s.m).toFixed(2), MUT2, true, false); tableRow('= PVP NETO (ganancia incluida)', fP(s.pvpNeto), ACC, false, true); tableRow(' Ganancia contenida en PVP NETO', '+'+fP(s.ganancia), POS, true, false); tableRow('+ IVA ('+s.iva+'%)', '+'+fP(s.ivaAmt),MUT, false, false); tableRow('= PVP BRUTO base (igual a planilla)', fP(s.pvpBruto), ACC, false, true); tableRow('− Comisión ML ('+s.pct+'% del PVP publicado)','−'+fP(s.comML), NEG, true, false); tableRow('− Cargo fijo ML', '−'+fP(s.fijo), NEG, true, false); tableRow('− Envío Mercado Envíos', '−'+fP(s.ship), NEG, true, false); tableRow('Total fees ML por venta', '−'+fP(s.totalFees),NEG,false,true); curY += 2; grandTotal('PVP A PUBLICAR EN ML', fP(s.pvpML)); alertBox(ML, curY, CW, s.diffComp<=0 ? '✓ '+fP(Math.abs(s.diffComp))+' más económico que el PVP web ('+fP(s.comp)+'). Precio competitivo con el margen del '+pP(s.tgt)+' garantizado.' : '⚑ '+fP(s.diffComp)+' sobre el PVP web ('+fP(s.comp)+'). Para competir directamente, reduce el envío o negocia mejor precio de compra.', s.diffComp<=0?'ok':'warn' ); bodyText('El margen del '+pP(s.tgt)+' significa que de cada '+fP(s.pvpNeto)+' recibidos de ML, '+fP(s.ganancia)+' corresponde a ganancia neta antes de IVA. El PVP de '+fP(s.pvpML)+' publicado en ML ya incluye el margen objetivo y absorbe todos los fees de la plataforma.'); pageFooter(3, PAGES); // ═══════════════════════════════════════════ // PAGE 4 — TESTEADOR // ═══════════════════════════════════════════ doc.addPage(); bgPage(); f(ACC); doc.rect(0,0,W,2,'F'); try { doc.addImage(LOGO_B64,'PNG', W-50, 4, 36, 14); } catch(e){} curY = 18; sectionBar('PRICING TEST — PVP analizado: '+fP(s.testPvp)); kvGrid([ {l:'Comisión ML', v:'−'+fP(s.tCom), c:NEG}, {l:'Cargo fijo', v:'−'+fP(s.fijo), c:NEG}, {l:'Envío', v:'−'+fP(s.ship), c:NEG}, {l:'Total fees', v:'−'+fP(s.tFees), c:NEG}, {l:'$ A recibir', v:fP(s.tRecv), c:ACC}, ], 5); kvGrid([ {l:'Costo neto', v:fP(s.costo), c:MUT}, {l:'Ganancia neta $', v:(s.tProfit>=0?'':'-')+fP(Math.abs(s.tProfit)), c:s.tProfit>=0?POS:NEG}, {l:'Margen s/ventas', v:pP(s.tMV), c:vC(s.tMV,s.tgt)}, {l:'Margen s/costo', v:pP(s.tMC), c:vC(s.tMC,s.tgt)}, {l:'Margen s/IVA', v:pP(s.tMI), c:vC(s.tMI,s.tgt)}, ], 5); // Distribution bar ensureSpace(20); t(MUT); doc.setFontSize(7); doc.setFont('helvetica','normal'); doc.text('Distribución del PVP '+fP(s.testPvp), ML, curY); curY += 5; const pvpS = Math.max(s.testPvp,1); const cBW = Math.max(0, Math.min(CW, CW * s.costo/pvpS)); const pBW = Math.max(0, Math.min(CW-cBW, CW * Math.max(0,s.tProfit)/pvpS)); const fBW = Math.max(0, Math.min(CW-cBW-pBW, CW * s.tFees/pvpS)); f([139,0,38]); doc.rect(ML, curY, cBW, 7,'F'); f([201,168,76]); doc.rect(ML+cBW, curY, pBW, 7,'F'); f([150,50,50]); doc.rect(ML+cBW+pBW,curY,fBW, 7,'F'); curY += 10; [[[ 40,100,40],'Costo '+(cBW/CW*100).toFixed(1)+'%'], [[80,80,180], 'Ganancia '+(pBW/CW*100).toFixed(1)+'%'], [[150,50,50], 'Fees ML '+(fBW/CW*100).toFixed(1)+'%'] ].forEach(([col,lbl],i)=>{ f(col); doc.circle(ML+4+i*62, curY+2, 2,'F'); t(MUT); doc.setFontSize(7); doc.text(lbl, ML+9+i*62, curY+3.5); }); curY += 10; alertBox(ML, curY, CW, s.tMV>=s.tgt ? '✓ A '+fP(s.testPvp)+' logras '+pP(s.tMV)+' de margen sobre ventas, superando el objetivo del '+pP(s.tgt)+'. Ganancia neta de '+fP(s.tProfit)+' por unidad vendida.' : s.tProfit>0 ? '↗ A '+fP(s.testPvp)+' el margen es '+pP(s.tMV)+', por debajo del '+pP(s.tgt)+' objetivo. Hay ganancia de '+fP(s.tProfit)+', pero insuficiente. Sube el precio a '+fP(s.pvpML)+' para alcanzar el objetivo.' : '⚠ A '+fP(s.testPvp)+' las fees de ML superan lo recibido. Pérdida de '+fP(Math.abs(s.tProfit))+' por unidad. PVP mínimo viable con margen '+pP(s.tgt)+': '+fP(s.pvpML)+'.', s.tMV>=s.tgt?'ok':s.tProfit>0?'warn':'error' ); pageFooter(4, PAGES); // ═══════════════════════════════════════════ // PAGE 5 — COMPETIDORES // ═══════════════════════════════════════════ doc.addPage(); bgPage(); f(ACC); doc.rect(0,0,W,2,'F'); try { doc.addImage(LOGO_B64,'PNG', W-50, 4, 36, 14); } catch(e){} curY = 18; sectionBar('ANÁLISIS DE COMPETENCIA — '+s.compList.length+' competidores · Mi PVP: '+fP(s.pvpML)); if (s.compList.length === 0) { ensureSpace(18); f(SURF); doc.rect(ML,curY,CW,14,'F'); t(MUT); doc.setFontSize(9); doc.setFont('helvetica','normal'); doc.text('Sin competidores registrados en este análisis.', W/2, curY+9, {align:'center'}); curY += 18; } else { const cpvps = s.compList.map(c2=>parseFloat(c2.pvp)).filter(v=>v>0); if (cpvps.length > 0) { const minC=Math.min(...cpvps), maxC=Math.max(...cpvps); const avgC=cpvps.reduce((a,b)=>a+b,0)/cpvps.length; kvGrid([ {l:'Mínimo competencia', v:fP(minC), c:NEG}, {l:'Máximo competencia', v:fP(maxC), c:ACC}, {l:'Promedio competencia',v:fP(avgC), c:MUT}, {l:'Mi PVP óptimo ML', v:fP(s.pvpML), c:WHT}, ], 4); } // Table header ensureSpace(10); f(SURF); doc.rect(ML,curY,CW,7,'F'); t(MUT2); doc.setFontSize(6.5); doc.setFont('helvetica','bold'); doc.text('NOMBRE', ML+2, curY+4.8); doc.text('PVP', ML+72, curY+4.8); doc.text('DIFERENCIA', ML+100, curY+4.8); doc.text('URL', ML+145, curY+4.8); curY += 9; s.compList.forEach((comp2,i)=>{ const cpv = parseFloat(comp2.pvp); const diff = cpv - s.pvpML; const dc = diff<0?POS:diff>0?NEG:WRN; ensureSpace(9); if(i%2===0){ f(SURF); doc.rect(ML,curY-2,CW,7.5,'F'); } t(WHT); doc.setFontSize(7.5); doc.setFont('helvetica','bold'); doc.text((comp2.name||'Comp.'+(i+1)).slice(0,24), ML+2, curY+2); t(ACC); doc.text(fP(cpv), ML+72, curY+2); t(dc); doc.text(diff<0?'-'+fP(Math.abs(diff)):diff>0?'+'+fP(diff):'≈ igual', ML+100, curY+2); t(MUT2); doc.setFontSize(6); doc.setFont('helvetica','normal'); doc.text((comp2.url||'—').slice(0,38), ML+145, curY+2); curY += 7.5; }); curY += 4; } const cheaper5 = s.compList.filter(c2=>parseFloat(c2.pvp){ const ok2 = sc.pvpNeeded <= s.comp && s.comp > 0; ensureSpace(40); f(SURF); doc.rect(ML,curY,CW,36,'F'); f(ok2?[30,70,30]:[70,50,15]); doc.rect(ML,curY,2.5,36,'F'); t(WHT); doc.setFontSize(8.5); doc.setFont('helvetica','bold'); doc.text(sc.label, ML+5, curY+7); t(ok2?POS:WRN); doc.setFontSize(7); doc.setFont('helvetica','normal'); doc.text(ok2?'✓ '+pP(s.tgt)+' alcanzable bajo PVP web':'⚑ '+pP(s.tgt)+' requiere subir el precio publicado', ML+5, curY+13); const sc4 = (CW-10)/4; [ {l:'Costo envío', v:fP(sc.ship), c:MUT}, {l:'Ganancia neta', v:(sc.profit>=0?'':'-')+fP(Math.abs(sc.profit)), c:sc.profit>=0?POS:NEG}, {l:'Margen s/ventas', v:sc.mVentas>-900?pP(sc.mVentas):'—', c:vC(sc.mVentas,s.tgt)}, {l:'PVP necesario', v:fP(sc.pvpNeeded), c:ok2?POS:WRN}, ].forEach((it,j)=>{ t(MUT2); doc.setFontSize(6); doc.setFont('helvetica','normal'); doc.text(it.l, ML+5+j*sc4, curY+22); t(it.c); doc.setFontSize(9); doc.setFont('helvetica','bold'); doc.text(it.v, ML+5+j*sc4, curY+30); }); curY += 40; }); curY += 4; bodyText('El costo de envío es el factor más determinante para la competitividad del precio. Un producto liviano (<500g) puede tener tarifa ~$800, permitiendo lograr el '+pP(s.tgt)+' de margen a un precio inferior al PVP PVP web. Verifica la tarifa exacta en tu cuenta MercadoLibre → Tarifas de envío, ingresando el peso y dimensiones reales del embalaje.'); ensureSpace(16); f(SURF2); doc.rect(ML,curY,CW,12,'F'); t(MUT2); doc.setFontSize(6.5); doc.setFont('helvetica','normal'); doc.text('FÓRMULAS · PVP NETO = Costo ÷ (1−margen%) · PVP BRUTO = PVP NETO × (1+IVA%) · PVP ML = (PVP NETO + Fijo + Envío) ÷ (1−Comisión%)', ML+3, curY+7.5); curY += 16; pageFooter(6, PAGES); // ── Save ── doc.save('volcano-pricing-'+new Date().toISOString().slice(0,10)+'.pdf'); btn.disabled = false; st.textContent = '✓ PDF descargado correctamente'; st.className = 'export-status ok'; setTimeout(()=>{ st.textContent=''; st.className='export-status'; }, 5000); } catch(err) { btn.disabled = false; st.textContent = '✗ Error: ' + err.message; st.className = 'export-status err'; console.error('[PDF]', err); } }

Centro de análisisde costos & Pricing

Centro de análisis
de costos & Pricing