How to create a product recommendation engine in Adalo?

Discover how to create a powerful product recommendation engine in Adalo. Use custom actions, smart database filters, and predictive analytics. Elevate the user experience and skyrocket sales.

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Overview

Crafting a product recommendation engine in Adalo means blending user preferences, product info, and smart recommendation algorithms through Adalo’s no-code environment. Utilize Adalo’s database functions to handle and organize user actions and product data. Harness the power of custom actions and external APIs to deliver recommendation logic, ensuring personalized user journeys. Grasping Adalo’s interface, components, and workflows is key to smoothly integrating these parts, allowing for dynamic and pertinent product suggestions driven by user habits and likes.

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How to create a product recommendation engine in Adalo?

Step 1: Set Up Your Adalo Account

First things first, if you don't have an Adalo account, go ahead and create one.
Then, log into your Adalo dashboard. Easy peasy.

Step 2: Create a New App

Click on "Create New App."
Decide if you want a "Native Mobile App" or a "Web App."
Pick a template or start from scratch, your choice.
Give your app a name and set up the initial settings.

Step 3: Design Your Layout

Use Adalo’s drag-and-drop interface to design your app layout. It's like playing with digital Legos.
Add screens like "Home", "Product List", "Product Details", and "Recommendations."
Place UI components like buttons, images, and lists where you need them.

Step 4: Create Product Database

Head over to the "Database" section in the left sidebar.
Click “Add Collection” and create a "Products" collection.
Add fields like "Name", "Category", "Price", "Image", "Description", and any other attributes you need.

Step 5: Populate Product Data

Click on the "Products" collection.
Manually enter product details or import data from a CSV file. Whatever floats your boat.

Step 6: Deploy Custom Actions/API

If you're using external recommendation algorithms or APIs, set them up under "External Collections."
Configure GET requests to fetch recommended products based on user behavior or history.
Test those API endpoints to make sure data is fetched correctly.

Step 7: Create Recommendation Logic

Go to the screen where recommendations will be displayed.
Use Adalo’s "Magic Text" feature to show user-specific recommendations.
Create filters in the database query to pull products based on user behavior, purchase history, or similar product categories.

Step 8: Setup User Interactions

Add interactions like button clicks or list selections to capture user preferences.
Save these preferences in the user database to be used for personalized recommendations.

Step 9: Test and Iterate

Preview the app using Adalo’s preview feature.
Test interactions, product data fetching, and recommendations.
Fine-tune filtering logic and UI elements based on user feedback and testing outcomes.

Step 10: Publish Your App

Once everything is working as expected, go to the "Publish" section.
Follow the instructions to publish your app on app stores or web hosting platforms.
Monitor user interactions and update recommendation logic as needed.

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