"The key to successful conversational commerce comes from understanding consumer intent to purchase and guiding them through the process with conversational AI."
text or speech. NLP is the technology that makes interactions with chatbots feel more like human conversation. It can extract meaning, intent, and context, which allows chatbots to understand customer inquiries and provide relevant responses or take appropriate actions. If a customer asks a virtual assistant, “Does this jacket run true to size?” AI trained on product reviews and return reason codes can give an accurate, helpful answer. For example, a chatbot could communicate: “Based on past reviews from over 700 purchases, this item runs small. If you’re in between sizes, best to size up!”
Machine learning analyzes customer preferences, purchase afghanistan phone number list history, and browsing patterns. Machine learning is how computers can learn new things without being programmed to know them. This is the technology that enables chatbots or virtual assistants to make intelligent recommendations, suggest relevant products or services, and guide customers through their purchase journey. It can power natural language, image-based, and data-driven interactions to simplify product searches, provide personalized responses, and simplify purchases for a smooth shopping experience.