> ## Documentation Index
> Fetch the complete documentation index at: https://developer.lulacommerce.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Get Recommended Products

> This endpoint retrieves a list of recommended products for a specific item in your store. These recommendations can be used to suggest complementary or related products to customers.

This endpoint returns product recommendations based on the specified store item. The recommendations are typically generated based on purchasing patterns, product categories, and other relevant factors.

<Note>
  Recommended products are automatically generated by the system based on various factors including customer behavior and product relationships.
</Note>

### Path Parameters

<ParamField path="store_id" type="string" required>
  The unique identifier of the store
</ParamField>

<ParamField path="store_item_id" type="string" required>
  The unique identifier of the item for which to get recommendations
</ParamField>

### Response

<ResponseField name="recommendations" type="array">
  Array of recommended product objects

  <Expandable title="Recommended Product Object">
    <ResponseField name="id" type="string">
      Unique product identifier
    </ResponseField>

    <ResponseField name="item_id" type="string">
      Internal item identifier
    </ResponseField>

    <ResponseField name="store_id" type="string">
      Store identifier
    </ResponseField>

    <ResponseField name="images" type="array">
      Array of product image URLs
    </ResponseField>

    <ResponseField name="name" type="string">
      Product name
    </ResponseField>

    <ResponseField name="description" type="string">
      Product description
    </ResponseField>

    <ResponseField name="size" type="string">
      Product size
    </ResponseField>

    <ResponseField name="price" type="string">
      Product price
    </ResponseField>

    <ResponseField name="unit_count" type="string">
      Unit count information
    </ResponseField>

    <ResponseField name="sell_independently" type="boolean">
      Whether the product can be sold independently
    </ResponseField>

    <ResponseField name="active" type="boolean">
      Whether the product is currently active
    </ResponseField>

    <ResponseField name="quantity" type="number">
      Available quantity
    </ResponseField>

    <ResponseField name="completed" type="boolean">
      Whether the product setup is completed
    </ResponseField>
  </Expandable>
</ResponseField>

### Response Example

```json theme={null}
[
  {
    "id": "4e634630-cf39-4a68-b74a-f4c631eaeb11",
    "item_id": "bf9480e2-7ae1-4085-b72b-0141695a4fcb",
    "store_id": "449235c1-3d04-4519-998b-40d2a621e5e0",
    "images": [
      "https://lula-inventory-service-staging.s3.amazonaws.com/images/449235c1-3d04-4519-998b-40d2a621e5e0/Snacks/4e634630-cf39-4a68-b74a-f4c631eaeb11_1730116849516.webp"
    ],
    "name": "Keebler Big Snack Pack Club Cheddar Sandwich Crackers",
    "description": "1.8 oz",
    "size": "1.8 oz",
    "price": "0.99",
    "unit_count": "",
    "sell_independently": true,
    "active": true,
    "quantity": 1,
    "completed": true
  },
  {
    "id": "7bff1fcd-ee1f-4e38-a80c-b90d68d56502",
    "item_id": "1a1cf0c9-4036-45e2-bfb3-ccd032d634d6",
    "store_id": "449235c1-3d04-4519-998b-40d2a621e5e0",
    "images": [
      "https://lula-inventory-service-staging.s3.amazonaws.com/images/449235c1-3d04-4519-998b-40d2a621e5e0/Snacks/7bff1fcd-ee1f-4e38-a80c-b90d68d56502_1730116813067.webp"
    ],
    "name": "Slim Jim Monster Size Smoked Snack Stick Tabasco",
    "description": "1.94 oz",
    "size": "1.94 oz",
    "price": "3.49",
    "unit_count": "",
    "sell_independently": true,
    "active": true,
    "quantity": 1,
    "completed": true
  }
]
```

<Tip>
  Use recommended products to create cross-selling opportunities and improve customer experience by suggesting relevant items.
</Tip>

<Info>
  The recommendation algorithm considers factors like product categories, customer purchase history, and seasonal trends to provide relevant suggestions.
</Info>
