ARTIFICIAL INTELLIGENCE SYSTEMS
Many B2B businesses rely upon eCommerce websites in whole or in part. This is an area in which artificial intelligence technologies can make a large positive impact in business. AI eCommerce is comprised of a range of technologies that help match consumers to specific products and services and close sales. Using machine learning in eCommerce websites allows the online transaction process to be elevated to something closer to a showroom experience, where customers are directed to specific products and services that match their needs and budgets best and can learn more about the products and services through an interactive experience.
Most of us are familiar with product recommendation engines such as used on Amazon, which analyzes past browsing and purchasing patterns plus other customer demographics and recommends products on the interface or through email that may be of interest to that particular customer. In addition to this, AI eCommerce personalization features also include customized presentations based on location and other customer information, along with automated competitive pricing. Artificial intelligence systems can also make the eCommerce experience more interactive, with virtual sales bots handling specific inquiries on products and services and a visual search allowing customers to find products similar in appearance to one they have photographed.
ArtificialIntelligenceB2B.com is an AI software development company that is committed to making custom AI eCommerce platforms more affordable for a broader audience of B2B businesses. The below are a few examples of how machine learning in eCommerce can enhance the online shopping experience for the benefit of customers and sellers alike.
Product Recommendation Engines
Product recommendation engines are one of the more important AI eCommerce features. The goal of product recommendation engines is to ensure that customers find what they are looking for at a particular eCommerce website and maximize their spend when obtaining it. Some of the common ways this is done is by recommending products similar to those the customer has browsed, or based upon past buying patterns. When looking at one product, customers can quickly review competing items in that category, and when adding a specific product to the cart, the AI module can determine which products sell with the newly adding product and are likely to complement one another, encouraging up sells and cross sells. For example, if a printer is ordered, the customer may see similar printers in the class to compare, and backup toner may be recommended at checkout to encourage a higher spend in that particular shopping event. Product recommendation engines can also send emails or messages through social media to encourage customers to consider specific products and services, including offering specialized incentives like discounts or free additions to encourage repeat business. As customers acquire a deeper profile on the AI eCommerce website, product recommendations become better targeted and more effective over time.
eCommerce websites can also use artificial intelligence for personalization of the products and services offered and their pricing. This can be based upon location as determined by the IP address of the visitor, or more precisely based on demographic information gleaned from a specialized login or a login through a social media account like Facebook or LinkedIn. Dedicated landing pages can be presented to specific visitors based upon their customer profile that highlight the products and services most pertinent to them. In similar manner, eCommerce websites can offer specialized pricing to individual users based upon their profile. AI eCommerce platforms can even adjust pricing based on competitors' pricing within a user-defined range, allowing prices to rise and fall based upon market fluctuations to maximize the profitability of each transaction.
Visual eCommerce Product Search
AI eCommerce platforms can use machine learning to facilitate visual searches. Users can simply upload a photo of the product they are seeking and see results returned that most correspond to that image. As data from these searches accumulate, the eCommerce platform will improve in its capacity to recommend the right product based upon the customer's visual search.
Product reviews are especially critical to thriving eCommerce websites. However, eCommerce websites experience a common problem of having false reviews for products and services, often planted by competitors to deter purchases. Natural language processing can be used to determine the likely validity of specific product and service reviews and alert questionable reviews to the webmaster for potential deletion. In the case of obvious false reviews (for example, if reviews contain most or all of the text of reviews found elsewhere on the web, indicating a spamming scheme), AI eCommerce websites could even automatically delete them as they are made to ensure that they don't unfairly influence purchase decisions.
Finally, AI can be used to empower a virtual salesperson chatbot to provide a more human, showroom-style experience to the customer. Customers can ask questions about particular products and receive answers targeted to them. If customer inquiries and responses indicate a hesitation about a particular product, the virtual salesperson AI chatbot can recommend alternatives from the eCommerce website for consideration, highlighting the features and benefits that would be most pertinent to them based upon the conversation, any past conversations, and the customer's overall profile.
A virtual salesperson AI chatbot can leverage the product recommendation engine as well as any other features of the AI eCommerce website during the exchange (such as personalized product presentation and pricing) to ensure the highest spend and customer satisfaction from the exchange. The virtual salesperson is the perfect demonstration of how B2B businesses can reduce costs by automating sales processes, without sacrificing in the personalized touch of live sales. Virtual salesperson AI chatbots help maximize efficiency and profitability while maintaining the customer satisfaction that leads to long-term relationships and growth.
ArtificialIntelligenceB2B.com is an AI software development company that is ready to democratize the use of artificial intelligence systems for the B2B sector by making custom AI solutions that are more targeted and affordable. Founded as a division of DDA, ArtificialIntelligenceB2B.com is proud of its 25+ year history of continuous innovation in nearly all areas of interactive multimedia software design and development. From video-based eLearning platforms and virtual medical simulations to advanced custom CRM systems, eCommerce websites, and big data-driven research platforms, ArtificialIntelligenceB2B.com has a long history of pioneering original software with seamless user experiences, beautiful interfaces, engaging interactivity, and deep data processing that drives positive results for its clients. Learn more about how AI will offer competitive advantages to businesses in the B2B sector by exploring this website further, or if you have a particular idea in mind you wish to discuss, contact ArtificialIntelligenceB2B.com today.