https://kraz.ai/assets/Calculadora-BFaQk1B_.js

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La mayoría de modelos tienen un patrón erróneo entre 8-12%."})]}),t.jsxs("div",{children:[t.jsx("p",{className:"text-[10px] text-white/40 uppercase tracking-[0.15em] mb-3",children:"Desglose del impacto anual"}),t.jsxs("div",{className:"grid grid-cols-1 sm:grid-cols-2 gap-3",children:[t.jsxs("div",{className:"rounded-lg border border-accent/20 bg-accent/5 p-4",children:[t.jsx(at,{className:"w-4 h-4 text-accent/70 mb-1.5"}),t.jsx("p",{className:"text-[10px] text-white/50 uppercase tracking-wider mb-1",children:"Impacto por falta de stock"}),t.jsx(ae,{value:u,className:"text-lg font-bold text-accent block"})]}),t.jsxs("div",{className:"rounded-lg border border-primary/20 bg-primary/5 p-4",children:[t.jsx(ut,{className:"w-4 h-4 text-primary/70 mb-1.5"}),t.jsx("p",{className:"text-[10px] text-white/50 uppercase tracking-wider mb-1",children:"Impacto por mejoras en predicción"}),t.jsx(ae,{value:m,className:"text-lg font-bold text-primary block"})]})]}),t.jsx("p",{className:"text-[10px] text-white/40 mt-3 leading-relaxed",children:"La mejora potencial representa el incremento en ventas que un modelo deja de proyectar debido a la falta de corrección de datos históricos que incorporan roturas de stock."})]}),t.jsx(ia,{children:t.jsx("button",{className:"text-xs text-white/50 hover:text-primary transition-colors flex items-center gap-1.5",children:"¿Cómo calculamos esto? → Metodología"})})]}),t.jsxs(U.div,{initial:{opacity:0,x:20}

6,animate:{opacity:1,x:0},transition:{duration:.5,delay:.2},className:"space-y-6",children:[t.jsx("p",{className:"text-[11px] font-medium text-white/50 uppercase tracking-[0.2em]",children:"// Estimación de valor recuperable"}),t.jsxs("div",{children:[t.jsx("p",{className:"text-xs text-white/50 uppercase tracking-[0.15em] mb-3",children:"Margen de mejora anual identificado"}),t.jsx(ae,{value:c,className:"text-4xl sm:text-5xl md:text-7xl lg:text-8xl font-bold text-primary block leading-none"}),t.jsx("p",{className:"text-lg font-semibold text-primary/70 mt-1",children:"€ / AÑO"})]}),t.jsxs("div",{className:"relative rounded-xl border border-accent/30 bg-gradient-to-br from-accent/10 via-accent/5 to-transparent p-6 overflow-hidden",children:[t.jsx("div",{className:"absolute top-0 right-0 w-24 h-24 bg-accent/10 rounded-full blur-2xl pointer-events-none"}),t.jsxs("p",{className:"text-[11px] text-accent font-bold uppercase tracking-[0.18em] mb-3 flex items-center gap-2",children:[t.jsx(mt,{className:"w-3.5 h-3.5"}),"Diagnóstico Kraz"]}),t.jsxs("p",{className:"text-sm text-white/90 leading-relaxed",children:["Bajo un escenario de ",t.jsxs("strong",{className:"text-white",children:[i[0],"%"]})," de sesgo, existe una oportunidad de optimización significativa. Corregir el histórico permite que tu modelo proyecte la demanda real del mercado."]}),t.jsx("p",{className:"text-[13px] text-white/50 leading-relaxed mt-3",children:"Corregir los datos elimina la inercia de la falta de stock en las previsiones futuras."})]}),c>0&&t.jsxs(U.div,{initial:{opacity:0,y:10},animate:{opacity:1,y:0},className:"flex flex-col sm:flex-row items-center gap-3 rounded-lg border border-primary/15 bg-primary/5 p-4",children:[t.jsxs("p",{className:"text-sm text-white/70 flex-1 text-center sm:text-left",children:[t.jsx("strong",{className:"text-white",children:"¿Quieres recuperar este margen?"})," Analizamos tu caso sin compromiso."]}),t.jsx(me,{variant:"hero",asChild:!0,className:"px-6 py-2.5 rounded-full text-sm shrink-0",children:t.jsxs(pe,{to:"/contacto",children:["Hablar con un especialista",t.jsx(xe,{className:"w-3.5 h-3.5 ml-1.5"})]})})]}),t.jsxs("div",{className:"rounded-xl border border-border bg-card/30 p-5",children:[t.jsx("h3",{className:"text-[10px] text-white/50 uppercase tracking-[0.15em] mb-1",children:"Análisis de Brecha: Demanda Real vs. Histórico Registrado"}),t.jsx("p",{className:"text-[10px] text-white/40 mb-4 leading-relaxed",children:"El área entre ambas curvas representa el potencial de crecimiento que tus datos actuales ocultan a tu modelo."}),t.jsx("div",{className:"h-52 md:h-56",children:t.jsx(wt,{width:"100%",height:"100%",children:t.jsxs(Bt,{data:p,margin:{top:5,right:5,bottom:0,left:-15},children:[t.jsxs("defs",{children:[t.jsxs("linearGradient",{id:"gDeclared",x1:"0",y1:"0",x2:"0",y2:"1",children:[t.jsx("stop",{offset:"0%",stopColor:"hsl(var(--accent))",stopOpacity:.12}),t.jsx("stop",{offset:"100%",stopColor:"hsl(var(--accent))",stopOpacity:0})]}),t.jsxs("linearGradient",{id:"gGap",x1:"0",y1:"0",x2:"0",y2:"1",children:[t.jsx("stop",{offset:"0%",stopColor:"hsl(var(--primary))",stopOpacity:.15}),t.jsx("stop",{offset:"100%",stopColor:"hsl(var(--primary))",stopOpacity:0})]})]}),t.jsx(Ne,{dataKey:"name",tick:{fill:"hsl(var(--muted-foreground))",fontSize:10},axisLine:!1,tickLine:!1}),t.jsx(Se,{tick:{fill:"hsl(var(--muted-foreground))",fontSize:10},axisLine:!1,tickLine:!1,tickFormatter:x=>`${(x/1e3).toFixed(0)}k`}),t.jsx(Nt,{contentStyle:{backgroundColor:"hsl(var(--card))",border:"1px solid hsl(var(--border))",borderRadius:10,color:"hsl(var(--foreground))",fontSize:12},formatter:(x,b)=>[$e(x),b==="declared"?"Ventas registradas":"Demanda real estimada"]}),t.jsx(_,{type:"monotone",dataKey:"declared",stroke:"hsl(var(--accent))",strokeWidth:1.5,fill:"url(#gDeclared)",name:"declared"}),t.jsx(_,{type:"monotone",dataKey:"gap",stroke:"hsl(var(--primary))",strokeWidth:2.5,fill:"url(#gGap)",name:"gap"})]})})}),t.jsxs("div",{className:"flex gap-5 mt-3 justify-center text-[10px] text-white/50",children:[t.jsxs("span",{className:"flex items-center gap-1.5",children:[t.jsx("span",{className:"w-3 h-[2px] rounded bg-accent inline-block"})," Ventas registradas"]}),t.jsxs("span",{className:"flex items-center gap-1.5",children:[t.jsx("span",{className:"w-3 h-[2px] rounded bg-primary inline-block"})," Demanda real estimada"]})]})]})]})]}),t.jsx(U.section,{initial:{opacity:0,y:30},whileInView:{opacity:1,y:0},viewport:{once:!0},transition:{duration:.6},className:"mt-20",children:t.jsxs("div",{className:"relative rounded-2xl overflow-hidden max-w-3xl mx-auto",children:[t.jsx("div",{className:"absolute inset-0 bg-gradient-to-r from-[hsl(232,97%,15%)] via-[hsl(231,68%,25%)] to-[hsl(214,95%,30%)]"}),t.jsx("div",{className:"absolute inset-0 bg-[radial-gradient(ellipse_at_top_right,transparent_0%,rgba(0,0,0,0.3)_100%)]"}),t.jsxs("div",{className:"relative z-10 p-8 md:p-14 text-center",children:[t.jsxs("div",{className:"flex items-center justify-center gap-6 mb-8 text-white/50 text-[11px] uppercase tracking-[0.15em]",children:[t.jsx("span",{children:"+40 empresas confían en Kraz"}),t.jsx("span",{className:"hidden sm:inline",children:"·"}),t.jsx("span",{className:"hidden sm:inline",children:"Sectores: Retail · FMCG · Industria"})]}),t.jsx("h2",{className:"text-2xl md:text-3xl font-bold text-white mb-4 leading-tight",children:"¿Quieres transformar tus datos en una ventaja competitiva?"}),t.jsx("p",{className:"text-white/80 mb-8 max-w-lg mx-auto leading-relaxed text-sm md:text-base",children:"En Kraz no solo proyectamos el futuro; saneamos el pasado para que tus modelos operen con la máxima precisión. Descubre cómo nuestro framework de corrección de outliers puede optimizar tu inventario y capital circulante."}),t.jsx(me,{variant:"hero",asChild:!0,className:"px-10 py-5 rounded-full shadow-xl",children:t.jsxs(pe,{to:"/contacto",children:["Contacta con un experto",t.jsx(xe,{className:"w-4 h-4 ml-2"})]})}),t.jsx("p",{className:"text-[10px] text-white/30 mt-6 max-w-md mx-auto",children:"Estimación basada en el Framework Kraz de Normalización de Datos. El impacto real varía según la categoría y el historial operativo."})]})]})})]})}),t.jsx("footer",{className:"relative z-10 border-t border-border py-6",children:t.jsx("p",{className:"text-center text-[10px] text-white/30 tracking-[0.15em] uppercase",children:"Un diagnóstico exclusivo de Kraz AI Solutions"})})]})},re=({label:e,value:a,onChange:n,min:r,max:s,step:l,displayValue:i,minLabel:o,maxLabel:c})=>t.jsxs("div",{children:[t.jsxs("div",{className:"flex items-baseline justify-between mb-1",children:[t.jsx("label",{className:"text-[11px] text-white/50 uppercase tracking-wide",children:e}),t.jsx("span",{className:"text-2xl font-bold text-primary",children:i})]}),t.jsx(de,{value:a,onValueChange:n,min:r,max:s,step:l,className:"py-3"}),t.jsxs("div",{className:"flex justify-between mt-1",children:[t.jsx("span",{className:"text-[10px] text-white/30",children:o}),t.jsx("span",{className:"text-[10px] text-white/30",children:c})]})]});

6export{ga as default};