Artificial intelligence (AI) is continuing to transform digital spaces. AI is particularly transforming the E-commerce industry. AI is helping to predict shopping patterns of products and the time shoppers intend to buy them. Based on previous purchases, an online retailer can make personalized product recommendations to customers.
In many countries like India, where small business startups are trying to ensure a competitive presence through innovative technologies, AI-powered digital assistants play an essential role in their online stores. Indian developers utilizing AI technology for unique e-commerce experiences have already garnered an outstanding reputation.
While the role of artificial intelligence (AI) continues to prove vital for an increasing number of e-commerce apps, let us explain some of the key ways AI is being implemented for innovative shopping experiences.
Intelligent Chatbots
AI in e-commerce stores has been primarily implemented through chatbots. The chatbots used across e-commerce stores are developed to communicate with customers in a highly personalized manner. Intelligent e-commerce chatbots are highly effective and efficient in allowing customers to check product availability, compare products, get personalized product recommendations, and make payments.
Chatbots are also useful in linking customers with service professionals in case of customer queries or customer-raised complaints. The chatbot programs can carry out highly personalized communication based on user intent, user behavior patterns, and user journey by getting data-driven insights on the customer journey. Chatbots also offer ready-to-access customer support tools for getting instant solutions to various issues.
Personalized Recommendation Engine
Consider how Amazon suggests products that customers are more likely to purchase and think how well the recommendation engine addresses specific customer concerns and needs. The AI-powered recommendation engines and algorithms help bring out crucial product details that customers are more likely to respond to.
By making appropriate, customer-specific recommendations, e-commerce stores can improve sales volume and generate more up-sell and cross-sell volume. In addition, based on the data-driven insights that e-commerce stores are exposed to, customers can be provided appropriate product choices based on their needs.
Personalized Shopping Experience
Personalization in e-commerce stores is not just limited to recommendations and suggestions for individual customers. AI helps in personalizing the customer experience and ensuring smooth business conversion as well. For example, an e-commerce store can help customers with product pages or catalogs featuring their preferred categories and filters based on data-driven user insights.
Based upon the data-driven insights on how customers are interacting online and making purchases or browsing products, customers can be allowed to choose their preferred quick access menu options and instant access to their preferred payment gateway.
Intelligent Inventory Management
For e-commerce stores managing inventory efficiently mostly focuses upon fulfilling the market demands without acquiring extra product stock. Artificial intelligence (AI) can pave the way for efficient inventory management and prevent a business from exposure to the idle stock.
AI-based inventory management can be powered by data-driven insights on evolving sales trends, assessing evolving product demands and supply and delivery-oriented issues. Based upon these insights, it can delegate stocks where necessary and thus ensure the availability of products always on the storefronts.
Encouraging Voice Assistance
AI also paves the way for a superior shopping experience through intelligent voice-enabled personal assistant solutions such as Amazon Alexa, Apple Siri, Google Assistant, etc. AI-based voice assistants play an important role in helping customers enjoy comprehensive control over their shopping experience.
Since many online searches across search engines and product searches across e-commerce stores now use voice commands, intelligent voice assistants are continuously getting popular, paving the way for increased customer interactions and business conversion.
Voice commands are also being further optimized by AI technologies such as Natural Language Processing (NLP) to detect the exact intent behind spoken words and phrases irrespective of the tonal differences and pronunciations. As an online retailer, if you want to give your e-commerce store the power of intelligent product discovery, enabling it for voice search and voice interactions is a must.
Leveraging Intelligent Visual Search
Even a proficient writer with excellent command in describing things and using various combinations of keywords often cannot explain a product they are searching for. These are the times when searching through images may help in getting results quicker. Thanks to AI-based intelligent visual search, one can use an image and find its products.
Visual search has further made customer journeys easier with great outcomes regarding product discoverability and sales conversion. Finding the matching items similar to the uploaded image can be easier when your description provides further details. Visual search engines, voice search, and natural language processing can revolutionize product discoverability and ease shopping across e-commerce stores.
Conclusion
The above advantages and findings showcase how Artificial Intelligence (AI) contributes to eCommerce stores and the online shopping experience. In the past several small and big businesses and startups delivered a completely new and transformed shopping experience just by adopting AI technology. With such a broad range of transformative capabilities, AI-powered features and user experience attributes will be parts and parcels of the e-commerce shopping experience in the years to come.
