# Source: https://docs.kaisar.io/kaisar-network/kaisar-ai-ops/ai-solutions/market-place.md

# Market Place

Browse and deploy ready-to-use AI solution templates.

![AI Solutions Market Place](https://3962875474-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F01Fyr0ujWr1ipjmUOTbr%2Fuploads%2Fgit-blob-7f909a4da99e8aae2104e1bcc5dfb4ed314e8333%2Fmarketplace_grid_view.png?alt=media)

## Overview

The AI Solutions Market Place provides a curated collection of pre-built AI solution templates that you can browse, customize, and deploy instantly. Each solution is production-ready and includes all necessary configurations, integrations, and best practices.

## Market Place Interface

**Search and Filter**:

* **Search Templates**: Search by name, description, or keywords
* **Category Filter**: Filter by solution category

**Solution Categories**:

* Marketing & Content
* Customer Service
* E-commerce
* IT & DevOps
* Finance & Accounting
* Data Analytics
* Sales & CRM
* HR & Recruitment
* Supply Chain
* Legal & Compliance

## Available Solutions

The marketplace displays solutions in a grid layout with the following information for each:

**Solution Card**:

* **Category Badge**: Category name with rating (e.g., "Marketing & Content ⭐ 10")
* **Solution Name**: Descriptive title
* **Description**: Brief overview of capabilities
* **Agents**: Number of agents included (e.g., "2 Agents")
* **Models**: Number of models included (e.g., "2 Models")

### Example Solutions

**Marketing & Content**:

1. **Content Generator Pro** ⭐ 10
   * Generate blog posts, social media content, and marketing copy
   * 2 Agents • 2 Models
2. **Social Media Manager** ⭐ 8
   * Schedule, post, and analyze social media content across platforms
   * 2 Agents • 2 Models

**Customer Service**:

3. **AI Customer Support Bot** ⭐ 25
   * Automated customer support with 24/7 availability and personalized responses
   * 2 Agents • 2 Models
4. **Customer Service Chatbot** ⭐ 12
   * E-commerce chatbot for order tracking, returns, and product info
   * 2 Agents • 2 Models

**E-commerce**:

5. **Product Recommendation Engine** ⭐ 20
   * Personalized product recommendations based on user behavior and preferences
   * 1 Agents • 2 Models
6. **Lead Qualification Assistant** ⭐ 82
   * Automatically qualify and score leads based on engagement and criteria
   * 2 Agents • 2 Models

**IT & DevOps**:

7. **Code Review Assistant** ⭐ 21
   * Automated code review with best practices and security checks
   * 1 Agents • 2 Models
8. **IT Support Automation** ⭐ 15
   * Intelligent chatbot to resolve and route complex problems to specialists
   * 2 Agents • 2 Models

**Finance & Accounting**:

9. **Invoice Processing Automation** ⭐ 7
   * Extract, validate, and process invoices automatically
   * 2 Agents • 2 Models

**Data Analytics**:

10. **Business Intelligence Assistant** ⭐ 23
    * Natural language queries for business data and automated insights
    * 2 Agents • 2 Models
11. **Predictive Analytics Platform** ⭐ 8
    * Machine learning models for forecasting and predictive analysis
    * 1 Agents • 2 Models

**Sales & CRM**:

12. **Sales Email Automation** ⭐ 8
    * Personalized outreach emails generated and sent at optimal times
    * 1 Agents • 2 Models

**HR & Recruitment**:

13. **Resume Screening AI** ⭐ 10
    * Automatically screen and rank candidates based on job requirements
    * 1 Agents • 2 Models

**Supply Chain**:

14. **Inventory Optimization AI** ⭐ 10
    * Predict demand and optimize inventory levels across locations
    * 1 Agents • 2 Models

**E-commerce**:

15. **Dynamic Pricing Optimizer** ⭐ 18
    * Real-time pricing optimization based on market conditions and demand
    * 1 Agents • 2 Models

**Legal & Compliance**:

16. **Contract Review AI** ⭐ 14
    * Analyze contracts for risks, obligations, and compliance issues
    * 1 Agents • 2 Models

## Viewing Solution Details

Click on any solution card to view detailed information:

![Solution Details](https://3962875474-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F01Fyr0ujWr1ipjmUOTbr%2Fuploads%2Fgit-blob-c77f07b77ea9e5db4bb40caec4e4587d95e15d5c%2Fmarketplace_solution_details.png?alt=media)

**Solution Details Modal**:

**Header**:

* Solution name: e.g., "AI Customer Support Bot"
* Service type badge: e.g., "Customer Service" (blue badge)
* Status badge: e.g., "Productive v3" (green badge)

**Description**:

* Full description of the solution
* Example: "A comprehensive AI-powered customer support solution that handles common inquiries, escalates complex issues, and provides personalized responses. Integrates with email, chat, and social media platforms."

**Required Resources**:

* **Agents**: Number and type (e.g., "Estimated Cost")
* **Expertise**: Skill level required (e.g., "$150-300/month")
* **AI Models**: Models included (e.g., "GPT-4, Claude 3")
* **Tools & Integrations**: Required tools (e.g., "Email, Slack, Zendesk Integration, Knowledge Base")

**Key Features**:

* ✅ Multi-language support
* ✅ Sentiment analysis
* ✅ Ticket routing
* ✅ Auto-responses

**Use Cases**:

* Help desk automation
* FAQ handling
* Ticket classification

**Actions**:

* **Close**: Close the modal
* **Deploy (Coming Soon)**: Deploy the solution (button disabled)

## Deploying Solutions

> \[!NOTE] Deployment functionality is coming soon. Currently, you can browse and review solution details.

**Planned Deployment Process**:

1. Click **Deploy** button on solution details
2. Review required resources and costs
3. Configure deployment settings:
   * Select agents
   * Configure integrations
   * Set environment variables
4. Review and confirm
5. Deploy to your organization

## Solution Ratings

**Rating System**:

* ⭐ 1-10: New or niche solutions
* ⭐ 11-20: Popular solutions
* ⭐ 21-50: Highly popular solutions
* ⭐ 50+: Most popular solutions

Ratings indicate popularity and usage across the platform.

## Solution Components

**Agents**:

* Pre-configured AI agents
* Ready-to-use instructions
* Optimized prompts

**Models**:

* Pre-trained models
* Fine-tuned for specific tasks
* Production-ready

**Integrations**:

* Platform connections
* Third-party services
* API integrations

**Tools**:

* Custom tools
* Built-in capabilities
* MCP integrations

## Customization

**After Deployment** (Coming Soon):

* Modify agent instructions
* Adjust model parameters
* Configure integrations
* Add custom tools
* Update routes

## Best Practices

**Choosing Solutions**:

* Review description and use cases
* Check required resources
* Verify integrations match your needs
* Consider rating and popularity

**Before Deployment**:

* Understand resource requirements
* Plan integration points
* Prepare credentials
* Review pricing

**After Deployment**:

* Test thoroughly
* Monitor performance
* Customize as needed
* Gather feedback

## Categories Explained

**Marketing & Content**:

* Content generation
* Social media management
* Marketing automation
* SEO optimization

**Customer Service**:

* Support chatbots
* Ticket automation
* Customer engagement
* Help desk solutions

**E-commerce**:

* Product recommendations
* Pricing optimization
* Order processing
* Customer analytics

**IT & DevOps**:

* Code review
* IT support
* Infrastructure automation
* DevOps workflows

**Finance & Accounting**:

* Invoice processing
* Expense management
* Financial analysis
* Compliance automation

**Data Analytics**:

* Business intelligence
* Predictive analytics
* Data visualization
* Reporting automation

**Sales & CRM**:

* Lead qualification
* Email automation
* Sales forecasting
* CRM integration

**HR & Recruitment**:

* Resume screening
* Candidate matching
* Interview scheduling
* Onboarding automation

**Supply Chain**:

* Inventory optimization
* Demand forecasting
* Logistics automation
* Supplier management

**Legal & Compliance**:

* Contract review
* Compliance checking
* Legal research
* Document analysis

## Next Steps

* Deploy solutions to [Instances](https://docs.kaisar.io/kaisar-network/kaisar-ai-ops/ai-solutions/instances) (Coming Soon)
* Monitor performance in [Analytics](https://docs.kaisar.io/kaisar-network/kaisar-ai-ops/deep-learning-platform/analytics)
* Configure agents in [Organization → Agents](https://docs.kaisar.io/kaisar-network/kaisar-ai-ops/organization/agents)
* Set up integrations in [Platform Connections](https://docs.kaisar.io/kaisar-network/kaisar-ai-ops/agent-configuration/platform-connections)