Today, buying things online and picking up in-store (BOPIS) is becoming a critical adjustment during the pandemic, allowing many retailers to continue selling without incurring additional costs for developing delivery networks.

Fremont, CA: Retailers attempting to do business in an uncertain world have dealt a tough hand of the new normal. During the pandemic, on the one hand, several brick-and-motor stores are recognizing the importance of having a solid digitalized presence for their business. On the other hand, retailers collaborate with technology solution providers to improve their digital capabilities.

Here are some retail trends that are assisting organizations in emerging stronger with robust revenue growth.

Buy Online, Pickup In-Store

Today, buying things online and picking up in-store (BOPIS) is becoming a critical adjustment during the pandemic, allowing retailers to continue selling without incurring additional costs for developing delivery networks. Because of this new method of gathering, brick-and-mortar establishments might repurpose as small, local fulfillment centers. Shoppers, on the other hand, are increasingly opting for contactless pickup. To effectively meet this need, retailers combine data analytics and order management systems on phones to keep their personnel informed.

Smart Omnichannel Shopping Baskets

There are numerous ways to integrate digital and physical interactions in retail shops. Retailers are beginning to incorporate omnichannel consumer profiles to improve the experience of utilizing intelligent shopping carts. These profiles are enriched at each touchpoint and are accessible to customers and sales employees with each new encounter. It is called intelligent shopping baskets, cloud-based baskets that customers can edit and checkout from any physical or digital brand channel.

One-to-One Hyper-Personalization

 Recent breakthroughs in cognitive technologies are assisting merchants in moving closer to true hyper-personalization. Today, sentiment analysis, AI, machine learning, and natural language processing enable merchants to handle massive amounts of unstructured customer data. The data, derived from the online and in-store activity, social media, and other brand touchpoints, assists merchants in better understanding their consumers' requirements, worries, and the latest stage in purchasing experience.

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