The retail eCommerce landscape observed a significant growth during the post-Pandemic period. The $1.3 trillion industry in 2014 stands at $5.2 trillion. It is estimated to reach $8.1 trillion by 2026 (Statista). Leading players in this industry, Alibaba (China) and Amazon (USA) have shown incredible sales in the past two years.
Amazon has branched out to newer avenues to empower purchases and improve experiences. While convenience led to the industry’s creation, the extensive ability of these mobile apps to nurture the audience and offer incredible experiences has led to a growth explosion.
Large numbers of you have peers with lovely applications. Nonetheless, you don’t know whether you want an application. The benefits are staying put, and individuals are as yet visiting your store. Thus, here are the motivations to climb the stepping stool and embrace crossover or online Web based business Application Improvement.
Post the Pandemic, eCommerce has impacted all business types and sizes to enable better smooth sales and boost profits. However, the boost in sales can be attributed to the growing business intelligence, current technologies implementation, and sustainability adoption. Artificial Intelligence is one such aspect responsible for this industry’s growth. Here we will discuss how AI is transforming eCommerce and some AI elements you should implement to further your business.
Artificial Intelligence and eCommerce
When we say AI, it is not restricted to robots or bots. It is a technology that inspires businesses to think like users and prepare the base for conversions.
Amazon redefined the landscape with the adoption of this technology. When you enter the Amazon app, you will likely see top product recommendations based on your past purchases. The app converts your data into a personalized profile that helps them understand what type of products you might want to buy.
● For example, if you are into fitness and have been purchasing products that can keep your training, Amazon might start suggesting products you should own.
● Similarly, a new mother can get recommendations on products that should be part of their shopping list.
The app also helps you reorder items that are part of your subscription or lets you know when you should be reordering the same.
● If you purchase washing machine supplies from Amazon, they keep track of when you might need to refill the same. The app can ask if you wish to reorder
These are just a few instances of how Amazon uses Artificial Intelligence. Apart from personalization and recommendations, AI has been used to connect and communicate with customers. It has become an assistant, shopper, and search partner for customers.
You can run deeper into the data you have for the customers to understand how to use them to further conversions. It helps improve the targeting and enhances the conversion rate for your business.
AI runs deep into the industry to help you differentiate your app solution and build a solid base of loyal customers.
We will take you through some of the top AI elements you should use in your eCommerce mobile app to translate every visitor into a returning customer.
Top Tips to Build an Effective AI eCommerce App
When developing the eCommerce mobile app, you want more people to order the products online. For this, you need to offer them a complete understanding of the products, enhance their shopping experience and improve the conversions. Here are all how you can use AI in your store app.
1. Implement Chatbots for Engagement
We love stating this example where a person walks into the store and meets with the salesperson when they cannot find a product. This can happen online as well. However, what will the user do when they cannot locate the product they want to buy?
Chatbots can help the user in this situation. They will become the salesperson the user was looking for. The bot can offer the product link, knowledge base, and other required documentation to help the user complete the purchase.
If the user needs further assistance, the bot can connect them with the team member who can help.
According to Drift, the use of chatbots for brand communication has increased by 92% since 2019. At least 24.9% of buyers talked to the chatbots before completing the purchase.
2. Better Product Recommendations
The second instance to build a successful AI mobile app for your eCommerce business is to enable personalized recommendations. In this case, you will use a Machine Learning algorithm to learn more about the user.
The algorithm will understand the customer’s shopping patterns, match them with the data sets available in the system, and offer recommendations accordingly.
We saw an example of the same with Amazon. Amazon looks at your past purchases, the amount you spend, your demographics, and other details to build a solid profile. Every time you visit their page, they give similar product suggestions.
You get more personalized suggestions as you keep adding products to your order list. The algorithm functions better if you have entered information regarding your customer’s interests and needs.
3. AI for Product Descriptions
eCommerce businesses must ensure that online customers get all the requisite information about the product. A product description is pivotal in increasing conversions, whether you are selling an electronic product or raw materials.
You can use AI to deduce the exact type of description that works with the customers. Deep learning lets you know what words captivate the user’s attention. It will help you realize what a powerful description is. This technology analyses and compares several websites and applications to help implement the right content for the report.
4. Identify the Fake eCommerce Product Reviews
Most customers purchase products only after comparing the specifications and reviewing the product reviews. After the description, your reviews play a significant role in getting the user to complete the purchase.
You can use Artificial Intelligence to identify honest reviews from fake ones. It will help improve the credibility and reputation of your application. Too many fake reviews can lower your reputation and reduce the number of visits to your app.
AI will use NLP to identify patterns, language, and writing styles to differentiate between real and fake reviews. This is an essential element of your application.
5. Price Forecasting and Optimization
You should build an application that offers pricing that can improve conversions. You want to give discounts and deals while keeping the profit margins. That’s why you need to implement AI in your eCommerce app.
It will analyze the shopping behavior and purchases to determine what pricing best fits your target market. They can also forecast the increase or decrease in the price range to help set optimal price ranges.
The technology uses self-learning algorithms that consider several aspects, including SKUs, product portfolios, and point-of-sale.
Conclusion
The eCommerce industry is fast-evolving, and there is more potential for success during the post Pandemic period. If you implement AI in your mobile app solution, you can improve the suggestions, boost personalization efforts and enhance your customer’s experience. From connecting with customers in real-time to offering them a price range that satisfies their minds, there is a lot you can do with AI.
Following a step-by-step guide is important to implement Artificial Intelligence technology in your mobile app. You can either build an app from scratch or use the off-the-shelf solutions to get started. It is essential to have an experienced and proficient eCommerce app development partner by your side for the best implementation.
