iazaran/ai-insights

Using AI to analyze data and receive insights to improve specific areas of your business

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github.com/iazaran/ai-insights

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v1.2.0 2024-09-20 18:32 UTC

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MIT 989102ed5e432135bdd6df4226f5fd518ee4df43

  • Ismael Azaran <eazaran.woop@gmail.com>

laravel packageai-insightsai insights laravelai data analysis

This package is auto-updated.

Last update: 2025-04-20 19:45:40 UTC

README

Using AI LLMs to analyze data and receive insights and charts to improve specific areas of your business. The default LLM is OpenAI, but you can use any other LLMs.

Requirements

  • PHP >=8.1
  • Laravel >= 10

Get Started

Install iazaran/ai-insights via the Composer package manager:

composer require iazaran/ai-insights

Optionally, publish the configuration file

php artisan vendor:publish --provider="AIInsights\Providers\AIInsightsServiceProvider"

Set .env configuration. You can get your OpenAI API key here. Others are optional.

AI_BASE_URL=""
AI_CHAT_PATH=""
AI_IMAGE_PATH=""
AI_API_KEY=""
AI_ORGANIZATION=""
AI_PROJECT=""
AI_MODEL=""
AI_IMAGE_MODEL=""
AI_MAX_TOKENS=""
AI_TEMPERATURE=""
AI_INSIGHTS_DEFAULT_GOAL=""
AI_IMAGE_SIZE=""

Use the AIInsightsProcessor class to analyze your data. As default, it will use your last rows in DB

$businessType = 'Retail';
$goal = 'Increase sales';
$tables = ['orders', 'products'];
$limit = 5;
$insights = AIInsightsProcessor::analyze($businessType, $goal, $tables, $limit);

And sample response can be like this, if you are using OpenAI:

[
    'insights' => [
        [
            'index' => 0,
            'message' => [
                'role' => 'assistant',
                'content' => "Based on the provided data from the 'orders' and 'products' tables, here are some insights to improve your Retail business and increase sales:\n\n1. Focus on promoting high-margin products: The data shows that Product A has a higher profit margin compared to other products. Consider running targeted marketing campaigns for this item.\n2. Implement a loyalty program: Analyzing customer purchase history reveals repeat buyers. Introduce a loyalty program to incentivize these customers and encourage more frequent purchases.\n3. Optimize inventory management: The product data indicates some items have low stock levels. Ensure popular products are always available to avoid missing sales opportunities.\n4. Personalize marketing efforts: Use customer order history to create personalized product recommendations, potentially increasing cross-selling and upselling."
            ],
            'finish_reason' => 'stop',
        ],
    ],
    'charts' => [
        [
            'url' => 'https://oaidalleapiprodscus.blob.core.windows.net/private/org-123456/user-123456/img-abcdef.png'
        ],
    ]
]