Cómo Intercom Usa Snowflake Cortex AI para Ahorrar 1,4 Millones al Año a Sus Equipos de Ventas

Intercom, la plataforma de atención al cliente con IA, construyó un Sales Cockpit en la Nube de Datos AI de Snowflake impulsado por Cortex AI para ofrecer a los representantes de ventas una vista unificada de los datos de clientes y decks de información generados por IA. La herramienta ahorra más de 2.000 horas al mes en toda la organización de ventas, equivalente a 1,4 millones de dólares en ahorros anuales, y redujo el tiempo de generación de informes de clientes en un 96%.

Impacto

$1.4M

Ahorro anual por eficiencia del equipo de ventas

96%

Reducción en el tiempo de generación de informes de clientes

2,000+

Horas ahorradas por mes

40 min → 30 sec

Tiempo para enviar correo personalizado

~500

Decks de información producidos mensualmente

Desafío

Los representantes de ventas de Intercom necesitaban ocho o nueve herramientas y paneles diferentes para investigar una sola cuenta de cliente, creando flujos de trabajo fragmentados, preparación inconsistente y una sobrecarga de tiempo significativa que limitaba la capacidad de los representantes para atender eficazmente a los clientes.

Solución

Intercom construyó Sales Cockpit en la Nube de Datos AI de Snowflake usando Cortex AI para generar automáticamente decks de información de clientes y consolidar datos de uso de producto, conversacionales y de rendimiento de servicio en una única interfaz, desplegada por un solo ingeniero en días con Snowflake Container Services.

Herramientas y tecnologías

Lo que dicen los líderes

Con Sales Cockpit, hemos podido crear una experiencia de usuario más sofisticada y dar a los representantes las herramientas para realizar su propio análisis de LLM y entender mejor a sus clientes. Esta visibilidad facilita enormemente la identificación de áreas de mejora.

Louis Ryan, Director Sénior de Ciencia de Datos, Intercom

Snowflake es la columna vertebral de lo que hacemos. Es donde centralizamos los datos de uso de producto y conversacionales para impulsar los modelos de IA y las herramientas internas que ayudan a nuestros equipos y clientes a tomar mejores decisiones.

Louis Ryan, Director Sénior de Ciencia de Datos, Intercom

Muchas gracias por el duro trabajo. Esto podría ser un producto comercial por sí mismo. He estado jugando con Sales Cockpit y es un cambio radical. La mejor herramienta interna que jamás he visto.

Dean Clark, Gerente de Éxito del Cliente, Intercom
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Historia completa

Intercom’s sales teams faced a fragmented information environment. To prepare for a customer review or meeting, a rep needed to navigate eight or nine different tools and dashboards to research an account, build context on service performance, and understand customer sentiment. This disjointed workflow consumed time that could be directed toward serving customers better—and created inconsistency in how reps approached their work.

As Intercom’s customer base grew, its existing Redshift data infrastructure couldn’t keep pace. The proliferation of tools and dashboards made it harder, not easier, to get a coherent picture of any given customer. Data scientists were spending time building dashboards rather than solving business problems. The challenge was to consolidate these signals into a single, actionable interface—one that could surface AI-driven insights at the speed of a conversation, not a research session.

Intercom built Sales Cockpit on Snowflake’s AI Data Cloud running on AWS, using Cortex AI to analyze customer profiles and generate structured insight decks for each account. A single engineer deployed the application on Snowflake Container Services in a matter of days—saving at least a month of engineering time compared to building on internal infrastructure. The tool consolidates product usage data, conversational data, and service performance metrics into a unified view, and Cortex AI generates summary decks that previously took 3–4 hours to produce manually.

The operational results are measurable and immediate. Customer insight decks that once took 3–4 hours now complete in under 10 minutes, with around 500 produced monthly without manual effort. The time to send a personalized outbound email dropped from 40 minutes to 30 seconds as AI-agent-driven workflows research the contact automatically. Across the sales org, the tool saves more than 2,000 hours per month—a projected $1.4 million annual benefit. Thirty-five percent of sales reps are daily users and 55% are weekly users, indicating strong adoption beyond initial rollout.

Intercom is continuing to expand Sales Cockpit’s capabilities. The team is integrating Cortex Search to retrieve unstructured data through an agent-based interface, enabling reps to ask questions about customer history and get direct answers rather than navigating dashboards. The broader shift—from dashboard consumers to product builders—is how Intercom’s data science team now describes their new operating model.

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