How Can AI Be Used to Improve Customer Experience in Ecommerce?

 

E-commerce, a strenuous large-scale industry, has espoused intelligent technologies like AI, ML, and AR/VR to facilitate the customer experience. Artificial intelligence, the forerunner of innovation and futuristic technologies, has ascended the parameters for expediting customer experience. With features and functionalities like voice searches, AI-powered chatbots, and predictive analysis, e-commerce businesses and firms are attuning progressive overall functioning.

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One such use case that has elevated customer satisfaction levels is strengthened customer service solutions with conversational chatbots. Considering the conversion, 8 out of 10 companies have already enforced or intended to execute AI as a customer service solution. Such statistics raise questions about the other use cases of AI in e-commerce and their predicted augmentation. Apparently, the applications of AI do not limit themselves here but expand to justify their utilization.

With such exciting aggrandizement, it becomes necessary to ascertain how AI can alleviate the customer experience with AI development services in e-commerce.

Real-World Use Cases with the AI Development Services

1.     Predictive Analysis

Beginning with the use cases and not mentioning the predictive analysis on top would be a slander to AI. Analyzing the data and figuring out the patterns for possible outcomes are the primary features of integrating AI into existing e-commerce systems with AI development services. The capability to report upcoming events with simplified data has restructured how the e-commerce industry functions.

 

For instance, Inventory and warehouse reports, being a back-end system, still hold value in presenting customers with immense experience. As soon as a product is about to end, the AI-powered systems can alert the inventory owners about the need for restocking and updation. Bringing the customer-centric approach in the middle since the inventory is updated and well-organized, the users can always find the product available and would not have to look around other places or even vendors. Ultimately, AI has ensured inventory management to retain users and customers and generate high-power revenue.

2.     Product Recommendations

A similar application but a different stream of functionality can be seen with the product recommendation. AI and ML work together to assess user behavior and eventually recommend products based on their search histories for e-commerce development solutions. Product recommendation is among the factors that alleviate the customer experience and present the users with exactly what they are looking for.

 

For instance, a user might have looked up bicycles matching the preference. The product recommendation correlates the searches and brings forth the upcoming tools and products that go along with their preferences. The nature of AI in e-commerce boosts overall sales and ensures that the needs of users are met around the clock.

3.     Augmented Product Visualization

Another avenue in which AI can elevate the overall customer experience is including augmented reality with AI. The infusion of technologies brings forth an immersive experience adopted by industry giants and leaders. Bringing clarity to the users of the augmented product can assist in streamlined decision-making and zero returns.

 

For instance, industry giants like Lenskart introduced augmented reality features with AI development services so that users could judge the lenses prior to buying. The 3D features enabled them to assess the overall appearance of a lens on their face and find out which one suits them better. Such revolutionary functionality, combined with AR and AI, allowed users to make better decisions and have a smooth customer experience throughout.

4.     Test-Sentiment Analysis

As AI has the capability to assess and detect patterns, it is also susceptible to identifying sentiments with NLP and Deep Learning. Often, the AI does text sentiment analysis to pinpoint the emotions behind the text. This technique has been applied to analyze the feedback received from the user’s end.

 

For instance, e-commerce businesses and firms often deviate towards e-commerce development solutions with AI-powered functionality to assess the feedback received. The AI-driven solutions ultimately decipher the sentiments and bring forth reports associated with the overall feedback of the general masses toward a product. This way, businesses and firms can make the necessary changes to ensure the upgraded customer experience.

5.     Chatbots and Virtual Assistants

Another widely popular use case that has transformed the customer experience is the adaptation of chatbots and virtual assistants. The primary reason for it being an accepted AI-centric inclusion is the feasibility it provides the users. Oftentimes, the users find the customer services and issue-resolution mechanisms slow, building up to frustrations. However, the AI-powered conversational chatbots have changed the perception.

 

For instance, users interact with virtual assistants as firsthand assistance with their issues. They bring forth the problems, and the chatbot assists them with the process. This has reduced human needs and brought efficient solutions to resolve the problem within minutes.

6.     Voice Assistants

Another facet of assistance comes from simple AI-powered voice recognition devices that decipher the needs of the users. These devices, like Siri and Alexa, have facilitated smooth functioning and ensured that the users find their exact product by just saying out loud.

 

For reference, the AI-powered voice assistants take the commands of the users in the context of groceries, locate the product, and automatically add it to the cart. No typing and searching are required at the end of the users but just command-centric functioning. Such innovations have modernized the customer experience in e-commerce and ensured optimum results.

Conclusion

Winding up the bifurcated guide on how AI can be used to modernize the customer experience in the e-commerce industry has led us to AI development services. As decision-makers, you must assess the use cases that can be included in your business model and integrate them as soon as possible. Since the industry is growing at an unprecedented speed, quicker judgments can eventually become advantageous and revenue-driven in no time. Now is the time to make haste and bring the power of artificial intelligence to good use.

Author Bio: Mosche Amara is an AI-centric eCommerce developer with industry-wide experience on diverse projects. Her expertise brings forth necessary information and valuable insights to guide the general masses.

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