Get started with the Ecommerce UI template

Learn how to build an online store front with Algolia’s Ecommerce UI template. You can use the sample data, or customize the app to connect your data.

You can run the Ecommerce UI template in one of two ways:

• Using the latency Algolia application. If you use the latency application, you can’t customize records or index configurations (such as settings, Rules, or synonyms).
• Using your own Algolia application. To do this, you must send your data to your Algolia index.

Run the Ecommerce UI template

1. Install Flutter
2. Fork the Flutter Ecom UI Template repository
3. Clone the forked repository to your local machine
4. Install the dependencies: flutter pub get
5. Configure the environment variables
6. Start the application: flutter run

Connect your Algolia app to the UI

Change the values of the Algolia credentials in the lib/credentials.dart file. To use the sample data from Algolia’s Ecommerce UI demo, leave the values as they are.

The following variables are used:

Name	Value
applicationID	Your Algolia Application ID
searchOnlyKey	Your Algolia Search API Key
hitsIndex	Your Algolia index name
suggestionsIndex	Your Algolia Query Suggestions index name

API client

To use the Algolia API from your Dart app, you have these options:

• Use the Dart API client (used in this guide)
• Call the API methods directly using the http package.

Structure

If you want to experiment with customization, the Ecommerce UI template is structured as follows:

• lib/data: services and data providers
• lib/model: model objects for products data representation
• lib/ui/screens: applications screens and their components
• lib/ui/widgets: standalone UI widgets used on multiple screens

Use your own data and configurations

The demo application data and configurations can be found in the dataset folder as JSON files that you can upload to Algolia:

• products_configuration.json
• products_dataset.json
• products_query_suggestions_configuration.json
• products_query_suggestions_dataset.json

Example product record

The following is an example of a typical product record:

JSON

{
  "objectID": "A0E200000002GZB",
  "name": "Michael Kors – shopper "Jet Set Travel"",
  "description": "The sleek leather shopper from Michael Kors is the perfect every day bag, which offers enough space for the most important essentials in the office while traveling or shopping. The longer handles allow you to carry the bag comfortably on the shoulder, while the black leather and silver tag provides subtle elegance. A real investment piece that will accompany you from season to season.",
  "brand": "Michael Kors",
  "gender": "women",
  "hierarchical_categories": {
    "lvl0": "Women",
    "lvl1": "Women > Bags",
    "lvl2": "Women > Bags > Shopper"
  },
  "image_urls": [
    "https://res.cloudinary.com/hilnmyskv/image/upload/v1638375538/flagship_sunrise/A0E200000002GZB_0.jpg"
  ],
  "reviews": {
    "rating": 4,
    "count": 42,
    "bayesian_avg": 3.906976744186046
  },
  "color": {
    "filter_group": "black;#333",
    "original_name": "black"
  },
  "available_sizes": [
    "one size"
  ],
  "price": {
    "currency": "EUR",
    "value": 343.75,
    "discounted_value": 0,
    "discount_level": -100,
    "on_sales": false
  }
}