Artificial intelligence (AI) technology allows e-commerce businesses to grow with confidence. In the past, manual interventions were necessary. Today, an e-commerce store owner can utilize machine learning, AI, and data analytics to anticipate needs and identifies the most suitable marketing and customer service activities.
If you’ve just started out with an online dropshipping store and would need some ideas on business names and business slogans, computer algorithms in the online generators can help you with thousands of suggestions as well.
In this article, we’ll discuss what these technologies are and their uses in your dropshipping e-commerce store, once you’ve already set it up and running.
Machine Learning
It’s a method of data analysis that incorporates automated analytical model building. Machine learning is a part of AI, which is based on the notion that a computer-based system can learn from data and patterns that will be used for making decisions with minimal human intervention.
Such technology provides unlimited usage possibilities. Some of the more popular machine learning products include self-driving cars, recommended products, social listening, and fraud detection.
Artificial Intelligence (AI)
AI or artificial intelligence is a simulation of human intelligence by computer systems, which includes learning, reasoning, and self-correction. Some of its use cases include expert systems, machine vision, and speech recognition. It can identify various patterns and enable users to get more data insights on numerous occurrences.
Data Analytics
Data Analytics is the term used in processing historical data. As an organization grows, it will evolve to handle a significant number of data, which is known as big data. And as an e-commerce store expands, more data will be accumulated, which can be used to upsell further, cross-sell, and promote various other products and events.
The following are popular tools that utilize the above technologies, which can be conveniently adapted in dropshipping stores.
1.Chatbot
Many e-commerce store owners utilize chatbots to serve their customers better. If you own a dropshipping online store, you can further automate it with chatbots. Facebook Messenger is one of the most popular chatbots for smaller online stores, which provides a seamless experience as most people already own Facebook accounts.
A dropshipping store can utilize chatbots to streamline customer service communications. Common questions, for instance, can be quickly answered and when specific questions are asked, the bot can refer to a live attendant.
2. Autocomplete Search
By installing an autocomplete search plugin like Nextopia on an online store, you can expect an increased conversion, as the algorithms will provide suggestions on keywords typed, just like Google does with its autocomplete keyword search. Thus, it allows for upselling and cross-selling to occur organically, as people wouldn’t feel being bombarded by ads.
3. Personalized Recommendations
With personalized recommendations, one can expect to sell more products. Amazon is an early adopter. Installing apps like Personali and Choice.ai, for instance, can help with various product recommendations and sales events that can increase sales.
4. Retarget potential customers
Retargeting is a form of marketing in which the targeted people have previously visited the site. The tool used is banner ads and other types of ads that are displayed on sites that they visit later on. Many successful e-commerce companies use this retargeting strategy. Criteo and ReTarget are to mention two of such tools.
5. Predictive Marketing
AI predictive analytics greatly assists businesses in lead generation and CRM systems. Mintigo, for example, is a successful predictive marketing tool with renowned clients like Getty Images, where it identifies prospects and provides a competitive advantage on winning new businesses.
6. Personalization
Smart marketing automation Zeta provides AI-enabled insights on each customer, so customization and personalization can be performed smoothly as a part of the service. Examples of personalizations include individual engagement, customized email send time management, and personalized CRM.
In conclusion, becoming a dropshipping entrepreneur nowadays is no longer a lonely undertaking, as you’ll be accompanied along the way to success by AI technologies. You merely need to have the product ideas to sell, working marketing strategies, and a strong motivation to excel.
About the Author
Jennifer Xue is an award-winning author, columnist, and serial entrepreneur based in Northern California. She is also a digital strategist for Oberlo. Her byline has appeared in Forbes, Fortune, Esquire, Cosmopolitan, Business.com, Business2Community, Addicted2Success, Good Men Project, Positively Positive, and others. Her blog is JenniferXue.com.
