Traditionally, affinity-based marketing programs have relied upon demographic or purchase history data. Now, AI models can better understand a user’s intent and goals in real time and tailor experiences to meet their needs.
Before that near future arrives, AI will quickly impact anything that can be automated, including inventory, loss prevention, and sustainability decisions that require hundreds of thousands of data inputs. In a relatively short period, AI will lead to increased revenue that brands can channel into innovation versus R&D and make decisions that lead to much higher customer satisfaction and connection with their ideal, repeat customer.
AI can also identify and recommend products based on insights into a customer’s lifestyle, usually triggered by consistent purchases or changes in purchase behavior. For example, if someone buys pet food, moving supplies, or baby gear once, there might not be many changes to the user’s personalized experience. With frequent purchases, however, the AI would recognize patterns and adjust accordingly.
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