Integrating Drupal Website with AI is the New Trend: Know How it Benefits Your Business
When you want to buy from a website, wouldn’t you like some assistance to simplify your buying journey? It will help you feel much more confident about the purchase. Your possibilities of making a repeat purchase from the website also increase.
A customer like you is more accessible to businesses today than ever before. What it also means is companies need to remain equally accessible. Without going overboard, they must be willing to interact with customers. And it isn’t tough as technology is already there to support them.
This article takes a look at how you can integrate artificial intelligence with a Drupal website to improve your business.
| 67% of global consumers used a chatbot in the past one year. |
How Does AI Fit into the Drupal Ecosystem?
Here are three ways through which AI can integrate with Drupal websites
- Visual content management through image recognition
Image recognition solutions can execute a range of tasks as they get trained on heaps of data. They are adept at arranging pictures in categories, performing multi-criteria analysis, and flagging debatable content for moderation. These systems can also identify objects and people in photos.
AI tools are also helpful for marketing teams in editing images like cropping avatars. Google Vision API and Azure Cognitive Services API are some customizable image editing software available for Drupal developers. Azure Cognitive Services API has multiple ML-based modules.
Those modules support image categorization, visual data processing, and face and emotion recognition. They are an ideal tool for websites that use user-generated content. A few examples include e-commerce websites, community forums, and news portals.
- Marketing automation through Natural Language Processing (NLP)
There are several NLP-backed modules that the Drupal community is working on. These modules help in a range of tasks related to content management processes. Some of these include detecting duplicate content, keyword and tags extraction from text, and summarization of text.
Here is a list of NLP-backed modules that aid marketing automation.
- Automatic Alternative Text module
Generates missing alt attributes for images and translates them into foreign languages.
- MLTag module
It is a self-learning module with NLP libraries that auto-suggest tags based on the content of articles.
- OpenCalais module
It comes with a tagging engine and generates content metadata that users can use on their websites.
- SendPulse module
It is ideal for marketing teams as they can automate email and SMS campaigns. The module also enables improving the email open rates.
These NLP-backed modules are beneficial for marketing teams as they can save their creative resources. It will also help in creating personalised content that will find much better acceptance from the target audience.
| According to a survey, 75% of companies use at least one marketing automation tool. It indicates these tools find widespread adoption by marketing teams and businesses. |
- Chatbots through advanced cognitive computing
You can merge this lightweight conversational software with custom mobile apps, web content management systems, and messengers. The cognitive abilities of bots are far and wide. They can mine data from a website, conduct text analysis to find keywords from customer queries, and identify customer intent.
While it is true that chatbots require human interventions, you can still automate most support questions. It will enable your customer service department to utilise their time on other essential tasks. Drupal modules help in the cost-effective development of chatbots.
Chatbot API enables the integration of third-party chatbots with voice assistant solutions. These include the integration of famous names like Dialogflow and Alexa in a Drupal website. The Acobot AI Live Chat module enables developers to make self-learning bots that guide users towards relevant information.
Conversational user interfaces are thus beneficial in improving the shopping experiences of customers. These can help businesses get going with bettering their customer satisfaction game.
Advantages of Integrating AI Into Drupal
Here are some tangible advantages of integrating AI into Drupal
- Better user experiences
The benefits of the integration from a user perspective are immense. Some of these include catering to customer queries 24×7, improved content management and publishing, and better customer targeting. You can experience better sales and customer loyalty in the long run by offering personalised experiences. Your customers can also become your loyal brand patrons.
- Customer behavior patterns
Businesses generate a lot of data, but most of it remains underutilized. It is because unstructured data is of no use. AI tools can work on historical data to uncover hidden insights that can help you improve the customer journey. You can offer better product recommendations to customers and also optimize marketing budgets.
- Improved conversions and revenues
The integration of AI in e-commerce can lead to improved business growth. It is possible through predictive analytics, better lead generation, targeted services, and improved upselling. In the age of increased competition, AI-based solutions are essential to differentiate yourself from your competitors.
| 68% of consumers like chatbots as they offer quick solutions. |
Who We Are and What Makes Us a Preferred Drupal Service Provider?
There are a lot of possibilities to grow your business when you integrate AI with a Drupal website. At getSmartcoders, our Drupal team can help you improve your Drupal website through a range of AI integrations. We will help you turn your vision into reality, even if it requires developing custom modules that suit your business.
Want to know more details from our experts? Contact us today to understand how we can help with AI integrations in your Drupal website.