industry data is A continued shift away from in-store-only grocery shopping As more consumers embrace delivery, curbside pickup, and online ordering with Buy Online, Pick Up in Store (BOPIS), they move online.according to Nielsen IQNearly 14% of consumers shop exclusively in physical stores, while 86% shop in a combination of physical stores and online. Key driver: Customer convenience.
Whether buying online and picking up in-store, having groceries delivered, or simply checking food inventory, customers are flocking to stores that offer a convenient shopping experience. Therefore, the race is on to bridge the gap between online and in-store shopping experiences with the latest e-commerce solutions.
[Read more: “The Next Evolution of E-Commerce”]
Building on the traditional fun of product discovery
Product search is the traditional entry point for customers, telling them exactly what they want, but the application of product discovery extends far beyond this initial customer touchpoint. can do. In brick-and-mortar stores, customers often discover new products while wandering the aisles thanks to sales signs, end cap displays, and other attention-grabbing methods.
New product discovery technology replicates this in-store experience through e-commerce channels, facilitating upsells, cross-sells, and more through personalization.
For example, the right technology can provide product recommendations based on previous purchase behavior, especially for customers using reward accounts.
We use previous purchase data to show customers which brands they like and other similar products that other customers with similar grocery shopping habits often buy, and which relevant products they are likely to use. You can push sales and deals.
Providing your customers with this level of personalization means they spend less time searching for items and more time browsing and discovering new products and merchandise.
Personalize your product discovery experience
Personalization is not a foreign concept to the grocery industry. Many rewards membership programs offer customers custom her coupons based on their order and purchase history. However, product discovery and e-commerce personalization in the grocery space goes beyond just recommending the right product.
By upgrading to a next-generation artificial intelligence (AI)-powered product discovery platform, grocers will be able to offer personalized searches and product recommendations tailored to customer preferences and behaviors. Technology powered by AI and machine learning can analyze and compare data at high speed to help stores understand customer intent and better predict what customers want to see when shopping for groceries online. , data, product availability and priority.
For example, if a shopper adds potatoes, garlic, butter, herbs and carrots to their cart, an AI-powered product discovery system will start showing different cuts of steak or pot roast based on the individual’s purchase history. Recognize that General buying patterns and overall data trends.
Integration with Inventory
Personalized recommendations and advanced AI-powered product discovery platforms can also be integrated with inventory systems to provide additional recommendations. In the example above, if ribeye steaks were for sale, the product discovery platform could push them to the top of the recommendations or search results. You can also prioritize high-margin meat cuts and brands and de-prioritize low-stock items. This reduces customer service and inventory management issues so your customers can make the perfect purchase.
As grocers continue to solve supply chain problems, product discovery technology considers overstocked products and availability to ensure that products and brands similar to the out-of-stock products users are searching for are available. We can provide similar recommendations based on whether You can also save on sales and trigger store visits by directing shoppers to alternate locations where desired items are available.
Use mobile commerce to bridge digital and in-store shopping
The e-commerce grocery experience can be transformed offline and continued in-store via mobile apps, but in the absence of technology to support convenience shopping, grocers are likely to miss out on potential revenue. Become.
For example, in addition to creating shopping lists within the app, customers prefer clipping digital coupons. Using AI to analyze grocery shopping habits, when coupons for familiar products and brands are recommended, they are more likely to convert to products they might otherwise have waited to purchase. Become.
For customers who prefer to shop only in stores, this also helps direct them to mobile apps and websites, encouraging them to engage with mobile and e-commerce. Plus, for customers who prefer to shop online, the coupon for that empty milk carton could be an incentive to pop right into the store after work. Both customers can use the mobile app to create shopping lists and find items in-store, increasing convenience while taking advantage of in-store sales, end cap displays, and other promotions Opportunities are offered to customers.
Help customers shop better
To serve today’s modern consumer, grocers must look for AI-powered headless product discovery technologies that enhance their omnichannel strategy and ultimately improve the customer experience. As consumers continue to prioritize convenience, the use of digital channels for grocery shopping will only increase.
Investing in cutting-edge technology is the best way to meet consumer expectations and create a personalized grocery experience online or in store. Product discovery technology, with access to the right customer data points, is the most practical way to give customers the next-generation, convenient shopping experience that grocers are looking for, connecting them wherever they want to shop, digitally or in person. attract.
