Why AI and Big Data for Creating Personal Shopping Assistant App?
A Brief Introduction
“For some, shopping is an art; for others, it’s a sport. It can be a vice and it can be a cause. Some love it. Some hate it. Rarely is someone indifferent?”- Pamela Klaffke, these words show the love for shopping among people. But things have changed, brick and mortar shopping has now become a thing of the past. With rapid globalization, people have started shopping online.
Today, online shopping has become a lifestyle. With several options available for shopping that deliver the product at your doorstep, you just need to tap on the apps of your choice and select what you want.
The ease at which the customers can research, buy, and the availability of nefarious options from small retailers to big brands is the main reason that drives consumers towards online shopping.
A report, published by Bizfeel, suggested that there are 57% of consumers who prefer to shop online, 31% of consumers who prefer visiting a physical store, while 12% of consumers said that they liked shopping in both ways. Read further to know about the use of Artificial Intelligence and Big data for creating such eCommerce applications.
You may also want to read about the application of Big Data in Healthcare industry
Virtual Shopping Assistant Apps for Shopaholics
Many of us can be seen buying appealing and alluring stuff online using shopping assistant apps. These are really helpful. Sometimes these shopping assistant apps work and sometimes they fail. Well, not anymore! Thanks to Artificial Intelligence and Big Data.
With these advanced technologies popping in the market, the shopping world has got completely revolutionized. Both AI and Big Data play a major role in creating virtual shopping assistant apps that help shopaholics to do online purchasing.
In this article, we will discuss the major technologies used to create these apps. Also, we will talk about how are these apps helpful, what are its salient features and how can you build one of your own. After reading this blog, you will get to know what role does AI and Big Data play in creating a personal shopping assistant app. We will also focus on the applications of Big Data and AI for eCommerce sites.
You might also be interested in reading: 7 Tips to create chatbots
Role of Big Data and Artificial Intelligence in Creating E-Commerce Apps!
Earlier, companies failed to retain their customers since they were not competent enough to understand their needs but, with the use of AI and Big Data for eCommerce, shopping assistant apps have been introduced in the market.
These apps have an unbelievable amount of data to track the shopping behavior of online shoppers. The data has a track record of the account user reviews and ratings after purchase. Later, this data is interpreted in the right way to render a great shopping experience to the customers.
AI and Big Data offer comprehensive solutions for understanding the customer’s needs using the stored data. The collected data is analyzed to give valuable insights into the patterns. AI algorithms study this pattern and Big Data solutions help to build a system approach to make marketing decisions. They track the shopping behavior of the customers and offer instance to strategize plans and offers accordingly.
In this blog, we will explain the role of Big Data and Artificial Intelligence in creating E-Commerce apps and why companies prefer these technologies for eCommerce app development. Consider checking out some of the most amazing apps developed.
Let’s discuss this in detail,
1. Better Shopping Experience
Artificial Intelligence enables shopping assistance apps to listen, understand, talk, resolve queries and suggest solutions just like a human customer care representative thus making the complete shopping experience easier and simpler for the customers. Eg. Rakuten Fits Me, The North Face XPS, Amazon Alexa, etc.
Artificial Intelligence enables shopping assistance apps to listen, understand, talk, resolve queries and suggest solutions just like a human customer care representative thus making the complete shopping experience easier and simpler for the customers. Eg. Rakuten Fits Me, The North Face XPS, Amazon Alexa, etc.
2. Prediction of Customer’s Needs
AI algorithms help to predict the customer’s needs by analyzing their search behavior and purchase preferences thus making offers more relevant for them.
AI algorithms help to predict the customer’s needs by analyzing their search behavior and purchase preferences thus making offers more relevant for them.
3. Simplifying the Search Process
AI makes the entire search process more convenient for the users by enabling voice and image in search engines.
AI makes the entire search process more convenient for the users by enabling voice and image in search engines.
4. Improved Analysis
AI algorithms help to analyze and study marketing and warehouse logistics for making correct business moves.
AI algorithms help to analyze and study marketing and warehouse logistics for making correct business moves.
5. Accurate Sales Prediction
The role of Big Data for eCommerce apps is important too. It helps to mark predictions for sales and provides valuable insights into the marketing pattern.
The role of Big Data for eCommerce apps is important too. It helps to mark predictions for sales and provides valuable insights into the marketing pattern.
6. Maximize Business Profits
The use of Artificial Intelligence and Big Data helps to reduce manpower, cut expenses and increases the revenue.
The use of Artificial Intelligence and Big Data helps to reduce manpower, cut expenses and increases the revenue.
7. Increased Efficiency
AI helps to increase efficiency by providing AI-based robots that assist in doing work that is done by delivery agents and support staff. The work mainly includes packing and shipping the merchandise, organizing the products and many more like these.
AI helps to increase efficiency by providing AI-based robots that assist in doing work that is done by delivery agents and support staff. The work mainly includes packing and shipping the merchandise, organizing the products and many more like these.
8. Analysis of User Reviews
Another major benefit of using AI for eCommerce is to analyze user reviews. AI helps to offer assistance in e-commerce marketing by analyzing the content of reviews and relevant data from page descriptions.
Another major benefit of using AI for eCommerce is to analyze user reviews. AI helps to offer assistance in e-commerce marketing by analyzing the content of reviews and relevant data from page descriptions.
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10 Things that you need to Know before Building your Shopping Assistant App!
10 Things that you need to Know before Building your Shopping Assistant App!
Do you wish to build an app of your own? Well, before you start, you should have answers to certain questions like, How can you make your app more interactive and enticing? How can you make it competent enough to attract the target audience? What is the key information that it should have?, etc. Here, we provide you with all the important things that you need to know before building your shopping assistant app. If you find it difficult to comprehend these, you can consult an IT outsourcing company like Resourcifi or hire eCommerce developer to get assistance on the same. Let’s look at some key points to ponder,
1. User Experience
Great user experience is the best thing that you can offer to your users. A customer who is satisfied with the app would surely recommend the same to others.
Great user experience is the best thing that you can offer to your users. A customer who is satisfied with the app would surely recommend the same to others.
2. Search
Having a robust search facility is a must. Your app must have a search facility that allows the users to search without a break or 404 page not found errors.
Having a robust search facility is a must. Your app must have a search facility that allows the users to search without a break or 404 page not found errors.
3. Navigation
The application must be easily navigable so that the users can easily move around in the app and view their options.
The application must be easily navigable so that the users can easily move around in the app and view their options.
4. Labeling Categories
Labeled categories is another important feature that is essential for a shopping assistant app to have. It is important that all the categories and pages in your app are properly labeled.
Labeled categories is another important feature that is essential for a shopping assistant app to have. It is important that all the categories and pages in your app are properly labeled.
5. Contact Details and Feedback
How can the users contact you? And, how can you know about their response? For all this, there should be a proper contact section built in your app. Testimonials, customer feedback, contact details, online customer support, and FAQs, help and delivery options, needs to be duly updated.
How can the users contact you? And, how can you know about their response? For all this, there should be a proper contact section built in your app. Testimonials, customer feedback, contact details, online customer support, and FAQs, help and delivery options, needs to be duly updated.
6. Figuring out the key information
Your app should be enticing so that it can attract users from all categories. For this, you need to figure out relevant user information that will help you track their decision-making process and preferences while buying the products.
Your app should be enticing so that it can attract users from all categories. For this, you need to figure out relevant user information that will help you track their decision-making process and preferences while buying the products.
7. Customer Focus
It is important for your app to keep customers focused on purchase to maximize user engagement. The app should offer an alluring user experience to avoid any kind of distraction.
It is important for your app to keep customers focused on purchase to maximize user engagement. The app should offer an alluring user experience to avoid any kind of distraction.
8. Effective Images
Embedding effective images help customers to know more about the products. The images should be well optimized before uploading and must be compressed. The images should be instilled in accordance with the page weights to avoid slow loading times.
Embedding effective images help customers to know more about the products. The images should be well optimized before uploading and must be compressed. The images should be instilled in accordance with the page weights to avoid slow loading times.
9. Recommendations
Recommendations are important too. You can suggest and recommend as much as you can. This helps people to know more before making a purchase.
Recommendations are important too. You can suggest and recommend as much as you can. This helps people to know more before making a purchase.
10. Visible support options
To build an interactive app, you need to provide support options so that your customers can easily use it to avail information about their product. Tracking of the package, online customer service tools, contact details, etc are essentials for a performant e-commerce app.
To build an interactive app, you need to provide support options so that your customers can easily use it to avail information about their product. Tracking of the package, online customer service tools, contact details, etc are essentials for a performant e-commerce app.
Shopping Assistant App Examples
Both Artificial Intelligence and Big Data for eCommerce app development has been a preferred choice by many large enterprises and app agencies. While there are several shopping assistant apps available in the market that helps shopaholics to make purchases with greater convenience and ease. Some of the most interesting examples of these are mentioned here.
Aerie’s shopping chat-bot
Nike’s chat-bot
Ebay’s shopping bot
Wrapping it All!
By now, it might be clear to you that starting your own virtual shopping assistant app using AI and Big Data is a profitable deal. Personal Assistant Shopping apps help to provide users with a great customized shopping experience. All that you need to take care of is that your app should be able to track customers’ orders, identify and resolve any problems, support customers for replacement and provide them with best-suited recommendations about the latest trends.
And to make this possible, you need to use AI and Big Data. Data is the new oil for the IT industry, Coined by Clive Humby, the man that built Clubcard. Hire developers who can develop high performing apps using these technologies. Building an eCommerce store driven by AI and Big Data is easy and worth investing.
