Customers are looking for solutions that maximize their benefits and allow them to meet their needs promptly. A widespread behavior among customers is to check store locations on the store page, which enables them to find a store in the most convenient location. Therefore, it is beneficial to have a solution prepared to satisfy this need. This use case describes configuring an AI search to return information about a company's store locations.

Example of store location Search Engine

## Prerequisites --- - Prepare `.CSV` file with main information regarding a store location. The file should contain required columns - **itemId** and **category** and other custom values like postal code, street address, city, and so on. You can find the requirements for the `.CSV` file format [here](/docs/assets/catalogs/creating-catalogs#requirements).

Click to see a sample CSV file

category,city,itemId,lat,lon,postalCode,state,streetAddress,streetName,streetNumber,title STORE,Washington,497,38.897,-77.0251,20073,District of Columbia,3960 Killdeer Terrace,Hanson,8,Nienow and Sons STORE,Brooklyn,69,40.6924,-73.9666,11205,New York,7720 Mockingbird Circle,Bultman,39231,Baumbach-Glover STORE,Los Angeles,742,33.9754,-118.417,90094,California,85774 Stone Corner Street,Washington,652,Grimes LLC STORE,Little Rock,197,34.6725,-92.3529,72209,Arkansas,97498 Bunting Road,Boyd,712,Frami Inc STORE,Salem,622,44.8685,-123.0438,97306,Oregon,40 Dorton Court,Esch,79,Roberts and Sons STORE,Brea,550,33.9187,-117.8892,92822,California,92 Di Loreto Street,Golden Leaf,16877,Hermann-Bergnaum STORE,Sacramento,966,38.3774,-121.4444,94207,California,7250 Green Ridge Center,Kensington,6,Jacobson-Cronin STORE,Baton Rouge,492,30.3795,-91.1671,70820,Louisiana,3351 Grim Lane,Del Mar,5638,Bahringer Inc STORE,Dallas,710,32.7673,-96.7776,75387,Texas,0 Talisman Junction,Glendale,480,"Rippin, Wiza and Borer"

## Process --- 1. Import `.CSV` file to a [catalog](/use-cases/ai-search-store-location#create-a-catalog). 2. [Configure AI Engine](/use-cases/ai-search-store-location#configure-ai-engine). 3. Create and configure [search index](/use-cases/ai-search-store-location#create-an-ai-search-index). ## Create a catalog --- In the first part of the process, import the `.CSV` file into the catalog.

Import CSV

1. Go to

**Data Modeling Hub > Catalogs > New Catalog**. **Result**: A pop-up opens. 2. Enter the name of the catalog. 3. Confirm it by clicking **Apply**. **Result**: A catalog appears on the list. Its position on the list is defined by alphabetic order (the list is arranged from Z-A). 4. Click the catalog on the list. 5. On the upper right corner, click **Import CSV** button. **Result**: A pop-up opens. 6. Click **Upload file** button. **Result**: A pop-up opens. 7. Select the file to be uploaded. Confirm with **OK**. 8. In the **Order key** field, type the name of the column whose values are treated as the key. In our case, the `itemId` value will function as the key. 9. Confirm by clicking **Import**. **Result**: Imported records are available in the catalog.

Example of a catalog

## Configure AI Engine --- In this part of the process, create and configure feed for AI engine based on the catalog created [earlier](/use-cases/ai-search-store-location#create-a-catalog).

A product feed uploaded to a catalog — A catalog configured for AI engine

1. Go to **Settings > AI engine configuration**. 2. Click **Add feed**. **Result**: A pop-up appears. 3. Select the product feed you want to use. In this case select **Catalog**. 4. On the pop-up, select the type of catalog: **Data catalog**. 5. From the dropdown list, select a catalog created in the [previous step](/use-cases/ai-search-store-location#create-a-catalog). 6. Confirm by clicking **Apply**. 7. On the list of feeds, click the feed created earlier. 8. In the **Applied search engines** tab, click **Show**. 9. Switch the **Search engines** toggle on. 10. Confirm by clicking **Apply**. 11. Click **Save**.

Launching Search Engine

## Create an AI Search index --- In this part of the process, create an index of AI search that facilitates searching for a store by city, postal code, street address, and street name. 1. Go to

**AI Hub > Indexes**. 2. Click **Add index**. **Result**: The index creation screen opens. 3. In the **Index name** field, type the meaningful name of the index. 1. From the **Choose catalog** dropdown list, select an [item catalog](/use-cases/ai-search-store-location#configure-ai-engine) to use as the source for the search results.

Remember that the value of an item attribute in the item catalog cannot be longer than 1000 characters. It applies both for creating a new index and updating it.

2. From the **Choose search engine language** dropdown, select the language of your search engine. 4. Click **Next step**.

Example of basic index settings

5. Define response and searchable attributes. More detailed information about these attributes can be found [here](/docs/ai-hub/ai-search/define-attributes/?helpCenterAi=define#response-attributes). In this case, `city`, `postal code`, `street address`, and `street name` are selected a searchable attributes, so the customer will be able to search for stores using them. 6. Click **Next step**. **Result**: The Filters & Facets screen opens. 7. Skip this step by clicking **Next step**. **Result**: The Ranking screen opens. 8. Click **Complete**. 7. The Ranking screen opens. Click **Complete**. 8. Wait until the index is ready. Refresh the page until you receive information in the upper right corner of the screen that the index is ready.

Your index is ready

9. Check the results by clicking **Preview**. 10. In the search field, enter the name of the store or store location. **Result**: A list with the defined search results appears. ## What's next --- Once AI search is configured, it can be implemented in any channel, such for example a website using [dynamic content](/docs/campaign/dynamiccontent/creating-dynamic-content).

We recommend enriching the integration with a store location map. This can be achieved using public tools such as **Azure Maps**. You can find extensive documentation for Azure Maps [here](https://docs.microsoft.com/en-gb/azure/azure-maps/) or use this [quick demo application](https://docs.microsoft.com/en-gb/azure/azure-maps/quick-demo-map-app). The `.CSV` file to be used in this case must contain the longitude and latitude to create the map.

## Check the use case set up on the Synerise Demo workspace --- You can also check the [AI search configuration](https://app.synerise.com/ai-v2/search/indices/cbc43b41c46dea9f6d187e9f32b3dc7f1729689355/settings) directly in Synerise Demo workspace. If you’re our partner or client, you already have automatic access to the **Synerise Demo workspace (1590)**, where you can explore all the configured elements of this use case and copy them to your workspace. If you’re not a partner or client yet, we encourage you to fill out the contact [form](https://demo.synerise.com/request) to schedule a meeting with our representatives. They’ll be happy to show you how our demo works and discuss how you can apply this use case in your business. ## Read more --- - [AI engine configuration](/docs/settings/configuration/ai-engine-configuration/engine-configuration-for-search#selecting-attributes-for-preview) - [AI search](/docs/ai-hub/ai-search/introduction-to-ai-search) - [Catalogs](/docs/assets/catalogs) - [Dynamic content](/docs/campaign/dynamiccontent/creating-dynamic-content)