Shopping behavior is a window to the “soul” of the customer. AI observes behavior patterns to predict actions. Having a pulse on customer behavior is the key to being relevant, knowing their next move and bringing them back for more.

Sophisticated AI driven recommendation engines are driving increased retail sales. Retailers can spot emerging trends, recover abandoned carts, and make more relevant, timely cross-sell and up-sell offers.

To strike the best balance between profitability and product availability, astute store and site planning must consider shopping patterns, shelf placement, attractive pricing, product availability, impactful discounting and optimized space utilization.

R/etailers need to have a real time pulse on store performance while predicting demand with accuracy. It’s imperative to ensure that the relevant mix of products is available, and that stock-out situations are rarely encountered for minimal service interruptions.

New developments in advanced analytics and AI are changing retail. Understanding the effectiveness of customer touch points, while optimizing budgets based on returns and growth is what separates a good retail marketer from a great one.

Use the latest technologies to gauge positive, negative, and shifting sentiment on brands and promotions. Find and leverage emerging influencers and get ahead of customer issues.