---
title: "Motor de Recomendación para IVR - Vindler"
description: "Ofertas personalizadas a través de sistemas de voz inteligentes"
url: "https://vindler.solutions/es/case-studies/product-recommendation-ivr"
locale: "es"
updatedAt: "2026-11-12"
---

[Volver a Casos de Estudio](https://vindler.solutions/es/case-studies)Telecomunicaciones / Retail

# Motor de Recomendación para IVR

Ofertas personalizadas a través de sistemas de voz inteligentes

## El Desafío

El sistema IVR de un importante proveedor de telecomunicaciones estaba perdiendo oportunidades de venta cruzada y venta adicional durante las llamadas de servicio al cliente. Las ofertas genéricas tenían bajas tasas de conversión, y no había forma de personalizar las recomendaciones basándose en perfiles y comportamiento individuales de los clientes.

## La Solución

Desarrollamos un motor de recomendación basado en XGBoost que se integra con la infraestructura IVR existente. El sistema analiza el historial del cliente, el uso del plan actual, eventos de vida y el contexto de la llamada para generar recomendaciones de productos personalizadas en tiempo real. Las ofertas se presentan en momentos óptimos durante el flujo de la llamada.

## Resultados

-   300% de aumento en las conversiones de productos basadas en IVR
-   Ingresos promedio por llamada aumentaron en $4.50
-   Tasa de aceptación del cliente mejoró del 2% al 8%
-   ROI alcanzado dentro de los 3 meses posteriores al despliegue

## Tecnologías Utilizadas

XGBoostMachine LearningPythonAWSIVR Integration

## ¿Listo para transformar su negocio?

[Contáctenos](https://vindler.solutions/es/contact)

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```

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