Intelligent Merchandising With Artificial Intelligence
Smart merchandising makes it possible for buyers and merchandisers to use data more efficiently. By deploying AI-based algorithms to help automate the most tedious, time-consuming tasks of product selection and display, they can free up resources and focus on delivering a personalized shopping experience that aligns with business objectives.Go here :https://www.retailexpress.com/
AI enables retailers to deliver dynamic collections of products to shoppers with compelling visuals that make them want to browse. It also provides an in-depth product browsing experience that helps drive conversion with optimized filters and a more intuitive, category-focused faceted search.
From Data to Dollars: The Role of Big Data in Intelligent Merchandising
The result is a highly personalized experience that puts customer-centricity at the center of your eCommerce merchandising strategy, across all devices and all channels.
Using artificial intelligence for merchandising allows you to replace complex, inefficient planning procedures with powerful centralized tools that align all departments by default and deliver AI-driven insights and recommendations based on the best available evidence. By enabling teams to discover new opportunities and proactively spot (or automatically stop) promotions that may be over-selling, this approach reduces the cost of goods sold and improves margin while delivering more consistent results at scale.
The key to making intelligent merchandising work is accurate, comprehensive data that’s correctly labeled and in the right format. A SaaS approach to this task, leveraging automated labeling solutions like Taskmonk, delivers a single source of truth for all merchandising activities. It also ensures that the resulting algorithms are both easy to deploy and able to deliver the specific logic that buyers, merchandisers, and other stakeholders require in order to successfully drive business value and ROI.
