How to Enable Alexa to Add Items to Amazon Basket/Cart

As data scientists and software engineers, we often face challenges that require us to work with various technologies. One such situation is allowing Alexa, Amazon’s voice-activated assistant, to add items to an Amazon basket/cart. This task may seem daunting at first, but with a clear understanding of Alexa Skills Kit (ASK) and Amazon’s API, it becomes manageable. This post will guide you through the process.

How to Enable Alexa to Add Items to Amazon Basket/Cart

As data scientists and software engineers, we often face challenges that require us to work with various technologies. One such situation is allowing Alexa, Amazon’s voice-activated assistant, to add items to an Amazon basket/cart. This task may seem daunting at first, but with a clear understanding of Alexa Skills Kit (ASK) and Amazon’s API, it becomes manageable. This post will guide you through the process.

What is Alexa Skills Kit (ASK)?

The Alexa Skills Kit (ASK) is a collection of self-service APIs and tools that make it fast and easy to create new voice-driven capabilities for Alexa. ASK provides the capabilities to add new abilities, or “skills,” to Alexa, which users can then access through their Alexa-enabled devices.

Enabling Alexa to Add Items to Amazon Basket/Cart

To enable Alexa to add items to an Amazon basket/cart, you need to create a custom Alexa skill using ASK. Below is a step-by-step guide on how to achieve this.

Step 1: Set Up Your Development Environment

Before you start coding your Alexa skill, you need to set up your development environment. This includes installing Node.js and setting up an AWS account if you don’t have one already. You’ll also need to install the ASK CLI (Command Line Interface).

npm install -g ask-cli

Step 2: Create a New Skill

To create a new skill, use the ask new command. This will prompt you to provide a name for your skill.

ask new --template-url https://github.com/alexa/skill-sample-nodejs-howto.git

Step 3: Implement the Skill Logic

In the /lambda/custom directory, you’ll find the index.js file, where you’ll implement your skill logic. You’ll need to write a function that uses Amazon’s Product Advertising API to add items to the user’s basket/cart.

Here’s what the function could look like in Node.js:

const Alexa = require('ask-sdk-core');

const AddToCartIntentHandler = {
    canHandle(handlerInput) {
        return Alexa.getRequestType(handlerInput.requestEnvelope) === 'IntentRequest'
            && Alexa.getIntentName(handlerInput.requestEnvelope) === 'AddToCartIntent';
    },
    async handle(handlerInput) {
        const productName = Alexa.getSlotValue(handlerInput.requestEnvelope, 'product');
        
        // Logic for adding product to Amazon cart using Amazon's Product Advertising API
        
        return handlerInput.responseBuilder
            .speak(`Successfully added ${productName} to your cart.`)
            .getResponse();
    }
};

exports.handler = Alexa.SkillBuilders.custom()
    .addRequestHandlers(
        AddToCartIntentHandler
    )
    .lambda();

Step 4: Deploy Your Skill

To deploy your skill, use the ask deploy command.

ask deploy

This command will deploy your skill and model to your Alexa developer account.

Conclusion

Enabling Alexa to add items to an Amazon basket/cart involves creating a custom Alexa skill using the Alexa Skills Kit, and implementing the logic using Amazon’s Product Advertising API. Although the process might be challenging at first, with practice and experience, it becomes easier. The possibilities for creating interactive and useful skills for Alexa are endless, and one can only imagine what the future holds for voice technology.

Keep innovating, and never stop learning!

This tutorial only covers the basic steps and does not go into detail about setting up Amazon’s Product Advertising API or handling user authorization. For more detailed instructions, visit the Amazon Developer Documentation.


About Saturn Cloud

Saturn Cloud is your all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Spin up a notebook with 4TB of RAM, add a GPU, connect to a distributed cluster of workers, and more. Join today and get 150 hours of free compute per month.