E-Merchandising reviews by real, verified users. Find unbiased ratings on user satisfaction, features, and price based on the most reviews available anywhere.
Products classified in the overall E-Merchandising category are similar in many regards and help companies of all sizes solve their business problems. However, medium-sized business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Medium-Sized Business E-Merchandising to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Medium-Sized Business E-Merchandising category.
In addition to qualifying for inclusion in the E-Merchandising Software category, to qualify for inclusion in the Medium-Sized Business E-Merchandising Software category, a product must have at least 10 reviews left by a reviewer from a medium-sized business.
At Nosto, we acknowledge that every customer is unique. In fact, that’s what we’re all about! Nosto automatically predicts and delivers the most relevant shopping experiences in real-time to every individual customer. All this to increase your customer engagement and maximize the revenue potential for your business. At the core of it all is our Ecommerce Intelligence Engine™ that uses advanced machine learning algorithms, which unlike other personalization technologies, have exclusively been t
Searchspring helps your online store grow by making it easier for shoppers to find the products they want through search and navigation. By automating and simplifying complex business processes from analytics to merchandising, we make it easier to run your business, and save you time and money. With local and experienced support, you’ll always have the help you need, when you need it. Better results for shoppers. Better results for you.
Unbxd is an AI-driven search platform that enables eCommerce businesses to engage their shoppers by building contextual relevancy into what they are searching for. It converts shoppers more often and faster by showing them genuine results. It understands the shopper intent like no one else does across site search, browse (navigation) and recommendation purchase journey. It fixes the relevance problem for the online shoppers with the help of its indigenous AI-models that interpret the shopper af
The Reflektion Customer Engagement Platform delivers best-in-class, highly engaging, predictive, and individualized shopping experiences across all online touch points so brands and retailers can drive more revenue and delight every visitor. A scalable, modular architecture delivers experiences for Search, Recommendations, Category, and Landing Pages, Content Personalization, and Email, all made smarter with E-Commerce AI that’s continuously uncovering hidden relationships across broad and growi
Tagalys is a product merchandising engine that automatically displays products on listing pages, based on what is trending in the store. It gives merchants the ability to instantly control products displayed to increase product discovery at the store Features: Product Listing or Category pages: Data driven product sorting for eCommerce Listing Pages that improves CTR upwards of 25%. Tagalys allows merchants to visually merchandise product with access to product performance insights. Features in
Hawksearch is an Artificial Intelligence driven personalized search and recommendations platform that powers success for any size business across all industries. Our goal is to ensure brands have innovative tools to deliver an accurate, relevant search experiences enabling users to find the relevant results for their needs in context, no matter the device, platform, or language. Having completed over 800+ implementations, Hawksearch is utilized for delivering engaging and personalized search exp
E-merchandising software provides various optimization tools for e-commerce businesses to maximize profits for their online store. These tools can organize product displays, optimize searches, and provide personalized recommendations. The goal of e-merchandising software is to increase customer conversion and reduce cart abandonment while also encouraging a customer to purchase more during each transaction. Artificial intelligence plays a large role in e-merchandising, providing the tools to leverage past customer data and behavior to predict and influence future behavior.
Much like retail merchandising strategies that package and place items to encourage customers to purchase more or purchase certain items together, e-merchandising tools take those principles and apply them to an e-commerce setting. By also making it easier for customers to find exactly what they are looking for in an online store, customers are more likely to make a purchase.
Key Benefits of E-Merchandising Software
E-merchandising software will make your store’s content both easier to navigate and more attractive to potential customers.
Increased customer conversion — Customers who can easily find what they want are more likely to make a purchase, and so are customers who receive personalized recommendations. With e-merchandising software, your products can be presented in a way that encourages customers to buy more, in an expedited manner.
Reduced cart abandonment — A major problem that e-commerce businesses face is customers who place items in their cart but leave the site before purchasing them. With e-merchandising software, products can be presented in a way that makes them more attractive to customers (using data to determine what increases conversion) to reduce cart abandonment. The tool can also leverage data collected from customers and site visitors to improve the store over time.
Increased loyalty — Customers appreciate simple shopping experiences and personalized suggestions, so e-merchandising software can improve customer loyalty when used well. Some e-merchandising tools may even have built-in loyalty features such as accumulating points for an eventual discount or special gifts for subscribing to a newsletter that can encourage customers to return.
E-commerce business owners — This is the obvious application: those running an e-commerce business seeking to increase growth and improve sales. E-merchandising tools can certainly help with this when used correctly and expectations are tempered.
Marketers — Marketers can use e-merchandising tools to improve the presentation of their company’s or clients’ products online. By testing different approaches, they can determine which strategies work well with certain demographics and roll those changes out on a larger scale.
Product recommendations — Prominently featuring product recommendations is an effective approach to converting browsers into buyers. This can also be a good way to boost underperforming products or test display or visualization strategies.
Visual merchandising — When shopping online, how the product is represented in pictures and other visual means is all the customer has to go on when making a choice. E-merchandising tools may help adjust and test visual merchandising strategies to find the method that works best for your business and your customers.
Personalization — Every shopper appreciates personalized recommendations, and e-merchandising software provides the tools for online stores to offer product recommendations based on purchasing history and viewing history. This can increase conversion and loyalty, helping customers discover products they might not have found on their own.
Shopping cart recommendations — Much like personalized product recommendations, additional recommendations within a customer’s shopping cart can make for a quick and easy upsell as they are about to check out.
Data collection — Data is any business’ strongest tool, and e-merchandising can help your business collect data on customer shopping behavior as well as which merchandising strategies are beneficial.
Artificial intelligence — Artificial intelligence powers a variety of software, but e-merchandising can particularly benefit because of the technology's ability to create personalized recommendations. Using artificial intelligence, e-merchandising software can recommend products shoppers are likely to buy based on a variety of data collected by the tool. And as it continuously learns, the predictions will improve.