> For the complete documentation index, see [llms.txt](https://docs.skyone.cloud/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.skyone.cloud/english/ai-vertical/commercial-performance-agent.md).

# Commercial Performance Agent

**Commercial Performance Agent** is a sales solutions within **Skyone's Artificial Intelligence** vertical. It acts as an intelligent, proactive assistant that supports sales reps and managers throughout the entire commercial cycle, leveraging cutting-edge technology to transform data into results.

#### What is a **Commercial Performance Agent**?

**Commercial Performance Agent** is a vertical sales agent designed to optimize the performance of field teams, especially in high-recurrence sectors such as distribution and manufacturing. The platform uses an interactive generative AI engine that integrates with company management systems (ERP and CRM) to consume real-time data on products, customers, inventory, and pricing.

**Commercial Performance Agent** is niche-focused on the commercial context, allowing for natural interactions via WhatsApp and voice commands. It functions as a "Sales Hunter," mapping opportunities through geolocation and suggesting personalized actions for each customer profile.

***

#### **Commercial Performance Agent Benefits**

**Commercial Performance Agent** was designed to increase sales experience maturity, moving the process from manual, static models to a data-driven and predictive approach.

**For the Sales Representative**

* **Intelligent prospecting:** Maps active business IDs (CNPJs) and potential new customers within the rep's coverage area using GPS.
* **Tailored product mix:** Recommends the ideal product selection (SKUs) for each customer, maximizing revenue potential during every visit.
* **Closing agility:** Allows for order creation and goal tracking directly through WhatsApp, accelerating the sales process.
* **Cognitive voice assistant:** Enables voice communication to quickly obtain performance summaries and market insights.

**For the Sales Manager**

* **Real-Time Data:** Provides immediate visibility into key performance indicators (KPIs) and the team’s progress toward goals.
* **Actionable suggestions:** The AI analyzes sales projections and suggests course corrections to ensure strategic objectives are met.
* **Efficient support:** Automates repetitive tasks, allowing for a lean support team even as the sales force grows.

**Integrated Features**

* **Pay:** Facilitates remote sales by immediately sending payment links via WhatsApp (Credit, Debit, or Pix), helping to reduce delinquency.
* **Automated Service: Commercial Performance Agent** can interact with the end customer to confirm orders and payments, automatically notifying the warehouse for product picking.

***

#### How to Access

**Commercial Performance Agent** can be accessed through the [**Skyone Console**](https://console.skyone.cloud/):

1. Go to the **Product Menu** (located in the top left corner).
2. Navigate to the **AI Vertical** column.
3. Select **Commercial Performance Agent**.

#### Learn more about **Commercial Performance Agent**: 

<a href="https://www.skyone.solutions/en/fale-conosco" class="button primary" data-icon="calendar">Schedule a Demo</a>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.skyone.cloud/english/ai-vertical/commercial-performance-agent.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.