The best retail sales people excel because they attract customers, serve them well, and keep them coming back. They understand individual tastes and show complementary styles and accessories, boosting sales volume and customer satisfaction at the same time. Underlying this ability to perform on the floor are memorization of inventory, diligent work on outreach, and constant networking to expand clientele. You are probably thinking of your favorite professional right now—the one who can sell an entire ensemble to a long-time customer while helping two walk-ins miraculously “find” items they love.
AI is not going to replace people like these. It will augment their abilities to sell even more, and it will help salespeople with lesser skill to be more like them. Here’s how.
Get Them In
AI in the back office will enable ever-more-personalized messages to be sent to prospects and customers with compelling reasons to make a store visit. Machine learning allows buying patterns and trends to be predictions, as opposed to reactions. Without programming, AI algorithms can be tapped to show affinities and cross-sell opportunities with startling accuracy. A personal note from a with exciting content sent (automatically) from a sales professional is much more likely to prompt a visit than a generalized message. Salespeople get the advantage of outreach without consuming selling or personal time.
Treat Them Right
In-store selling tools can take advantage of AI in real time to offer suggestions on colors, patterns, compatible accessories, and sell-along items with knowledge of available inventory. Attractive assortments are simple to present to the buyer. This increases sales of available SKUs and reduces the time spent per visit—with better customer satisfaction. That is a recipe for better commissions.
Bring Them Back
Re-engagement cements the value of past, pleasant shopping experiences. AI makes it simpler not only to remind customers of items they’ve seen, but also suggest new merchandise choices. Here is where the predictive abilities of machine learning can amplify the seeming clairvoyance of top sellers and add some of that talent for new salespeople. By focusing correctly on sales by a person, to a person, AI for in-store retail can be effective while avoiding the “creepy” factor of behavioral online ads.
Make It Exciting
AI continues to help differentiate in-store retail experiences from online shopping. Real time, internet-of-things, augmented reality—driven by machine learning—is already being incorporated on the sales floor. But salespeople and inventory are the core reasons that stores draw traffic. Ironically, the primary benefit of Artificial Intelligence for retail stores will be helping real people sell, in person, to their customers.
Consider the Future
AI can create a new world for in-store retail that brings together machine intelligence with human intelligence to make the AI-augmented salesperson a reality. Additionally, grand orchestrations of AI-powered and data-informed store operations and shopper experiences are possible. Winners will be the retailers who conjoin the best of AI with the irreplaceable human elements shoppers will always seek.
Find out how Squark can start helping your retail store today.
Squark is a no-code predictive analytics SaaS that automatically analyzes business data you work with every day to predict customer outcomes, uncover new and unforeseen business opportunities, and mitigate risk. It is a simple and easy-to-use AI software that doesn’t require data science nor technical expertise. In a matter of clicks, make confident, data-backed decisions about what your customers will do next and understand why to increase your business impact.