TRUSTED BY GLOBAL BRANDS
VISUAL MERCHANDISer
eCommerce merchandising
features for every opportunity
Increase conversion, average order value, or profitability with fast, frictionless, and
flexible product search from day one.
Optimize search results and product displays with a visual editor
Use rules like boosts and bury to run precise campaigns
A/B test to experiment and implement best strategies
Use real-time intelligence to make better decisions
Scale the impact with easy rules management
Let us show you Experro Merchandising in action!
Dynamic merchandising for all use cases -
always stay ahead of your competition!
More Merchandising features built for eCommerce
Automated Catalog Sync
Save time and reduce errors with the most updated product catalog info that is always in sync with your eCommerce platform.
Redirect Rules
Redirect users to a specific brand or theme pages instead of standard search results for search queries (like “Levi's jeans”).
Customer Segments
Hyper-personalize your merchandising efforts for customer groups based on region, demographics, and more.
Merchandising API
Experro offers REST APIs to integrate search and merchandizing into your existing eCommerce or third-party apps.
Don't take our word for it, let us show you the proof.
Measure the impact of Experro Discovery on your eCommerce store for free.
Frequently Asked Questions
eCommerce merchandising is presenting and promoting products in an online store to maximize sales and revenue. This involves product listing, product recommendations, inventory management, sales forecasting, and seasonal merchandising. Effective eCommerce merchandising requires a deep understanding of customer behavior and preferences.
Under visual merchandising experience comes the way eCommerce platforms display the products. If you have observed, certain eCommerce websites are very well organized while the rest could be better. Some e-commerce business owners know the tactics that will attract customers to their website, retain them, and give them more reasons to stay on the website. The more pleasant the experience the user has on the eCommerce platform, the higher the chances of that customer buying from that eCommerce platform. This is called the visual merchandising experience.
eCommerce businesses can record customer behavior data and analyze the same to display relevant products. Related products, customized packages as per search history, etc. are some of the ways to make good use of customer behavior records.
There are several ways to optimize an eCommerce merchandising strategy. A/B testing can help you compare the effectiveness of different merchandising techniques, while conversion rate optimization can help you maximize sales. User experience and mobile optimization are also important factors to consider. Personalization and predictive analytics can also help you tailor your merchandising strategy to the individual customer. Finally, dynamic pricing can help you adjust your pricing strategy to maximize revenue.
Based on consumer behavior, eCommerce platforms display products under various categories like best sellers, new arrivals, and your favorites.
Effective product categorization is essential for eCommerce merchandising. One approach is to use product tagging and filtering to enable customers find the products they are looking for easily. You can also use customer segmentation to identify groups of customers with similar preferences and target them with relevant product recommendations. Finally, visual merchandising can help you showcase your products in an appealing way.
Cross-selling is the practice of recommending related products to customers based on their current purchase or browsing history. This can help increase the average order value and customer lifetime value. Up-selling is another technique that involves recommending higher-priced or premium products to customers. Product bundling can also be an effective cross-selling technique.
Effective product descriptions are key to increasing sales in eCommerce merchandising. Using image recognition, natural language processing, and sentiment analysis can help you optimize your product descriptions. User experience is also important, as customers are more likely to make a purchase if the product is presented in an appealing way.
Effective inventory management is crucial for eCommerce merchandising. Sales forecasting and seasonal merchandising can help you anticipate demand and adjust your inventory accordingly. In addition, customer behavior and product affinity analyses can help you identify which products are likely to sell together and adjust your inventory levels accordingly.
Visual merchandising involves using visual elements to showcase your products in an appealing way. This can include product listing, product categorization, product search, and product recommendations. Effective visual merchandising can help you attract customers, increase engagement, and ultimately drive sales.
Machine learning and AI can help you personalize your eCommerce merchandising strategy to the individual customer. By analyzing customer behavior and product affinity, you can make more targeted product recommendations and adjust your pricing strategy dynamically. This can help increase customer satisfaction, drive repeat business, and ultimately maximize revenue.
This is the generation of using tools to optimize the work in the IT industry. Entrust the tools like ‘Experro’ to build, digitize, and launch your eCommerce merchandising platform. Regardless of your organization size (small, medium, or enterprise level), Experro is an apt solution for you.