Artificial intelligence has marked the world of technology with its constant evolution and innovation, it has its bases in machine learning and deep learning to analyze data, generate predictions, among others.
It can have many advantages if you integrate them with the digital platform of your company, there are several ways to do it as we have already told you in other articles that can have in the prediction of user behavior and in general how you can use it in your company.
This time we will tell you about 8 ways in which you can integrate artificial intelligence to your digital platform to stand out in the market and offer a superior experience to your users.
What are the advantages?
The advantages that you can find are many and varied, all of them benefit directly, however, many of them also benefit your customers, here we will tell you about them:
Improve the user experience
As we mentioned in a previous article, with the help of AI you can offer a personalized user experience, for example, you can offer relevant content or recommendations that are tailored to the needs and preferences of your users, which can foster platform loyalty.
Task automation
It is well known that AI helps save time and resources on tasks that may be monotonous.
Data-driven decision making
With AI, large volumes of data can be analyzed to make decisions and increase operational efficiency based on accurate and accurate data.
Optimization and efficiency
It also optimizes processes and operations, as it can identify patterns, trends and even opportunities for improvement within your platform. This is useful in inventory management, strategic planning, etc.
Personalization and recommendations
As mentioned above, you can offer personalized recommendations to your users or customers such as: relevant products, content or services, etc. This can help you increase conversion rates and foster customer loyalty.
Improved security
AI is also very useful for detecting and preventing any type of threat or anomalous behavior so you can strengthen your platform and protect user data.
Customer service efficiency
Help increase customer service efficiency, for example, by using AI-powered chatbots to provide 24/7 customer care and support. Only frequently asked questions can be answered or basic problems solved.
Scalability
By integrating some AI you can get optimal performance in situations of growth of your digital product, which helps to handle a higher volume of data, users and transactions.
Ways to integrate AI
Here are the ways in which you can integrate AI into your platform
Virtual assistant
The main goal of integrating a virtual assistant into your platform is that it can attend and interact with your users. It may sound complicated; however, there are some software that can help you do it, such as:
Dialog Flow (formerly known as API.AI) is an AI-powered chatbot development platform that provides tools to create conversational virtual assistants.
If you still doubt their efficiency, remember that companies like Apple and Google use them in their phones and products, such as Siri or Google Assistant.
Content personalization
To suggest personalized content, you can use artificial intelligence algorithms to analyze user data. One software that is very useful for this is Amazon Personalize, an Amazon Web Services (AWS) service that generates real-time recommendations of products or content.
Surely you have gone through a process like this in the digital products you consume, such as Netflix or Spotify that recommend content based on your tastes.
Advanced data analysis
This is achieved through machine learning techniques to discover patterns and trends within large sets such as patterns in user behavior or market trends. There are some software that can help you such as:
- Google Cloud Platform (GCP) offers a wide variety of services for data analysis.
- BigQuery is used to store and analyze large-scale data.
- Cloud AutoML that develops customized machine learning models.
Anomaly detection and security
Through algorithms you can identify suspicious behavior or activities to identify abnormal patterns and detect possible security threats, so you can prevent fraud, cyber attacks and any other type of threats. To achieve this, the software that can help you are:
- Rapid7 InsightIDR is a threat detection and response platform that uses AI and machine learning techniques to identify anomalous activity and security risks in real time.
- Darktrace uses AI to automatically detect and respond to cyber threats in real time, using machine learning algorithms to identify anomalous patterns in network and data traffic.
Task automation
You can automate repetitive tasks on your platform, such as registration processes, data management, content classification, customer support, etc. So your team can focus on other tasks. Some software that can help you do this are:
- UiPath, which automates commercial and administrative tasks.
- Automation Anywhere, which automates repetitive tasks in various industries and departments.
Chatbots
Chatbots are used to provide support and customer service on your digital platform. They typically use language processing techniques to interact with users. There are a variety of options to implement them, such as:
- Microsoft Bot Framework, a platform that develops customized and scalable chatbots for different platforms and channels.
- LivePerson provides live chat and AI chatbots for real-time customer support.
- Intercom offers AI-powered chatbots to interact with your users.
Image processing and visual recognition
You can use AI to automatically classify, analyze and understand images, visual recognition or classification. Which is useful for e-commerce, health, fashion, art industries. Some useful software for this are:
- TensorFlow, is a library developed by Google that includes tools for machine learning and image processing, allowing to develop visual recognition models.
- Amazon Rekognition, an AWS service that allows to analyze images, detect objects, faces and analyze video content.
- Clarifai, allows companies to analyze images and videos to extract information.
Price optimization and recommendations
You can use AI to analyze user data, market behavior, etc. to provide optimal pricing recommendations. Which can help you maximize conversions, revenue, increase customer satisfaction and offer competitive pricing. With Prisync's Dynamic Pricing you can optimize prices based on competition, demand and other factors.
Some companies use AI algorithms to optimize product prices in real time, like Amazon, or like Uber that dynamically adjusts ride prices based on demand and supply.
