# Best E-Merchandising Software - Page 9

*By [Subhransu Sahu](https://research.g2.com/insights/author/subhransu-sahu)*


E-merchandising, or e-commerce or digital merchandising, is the process of choosing the right product or service in the right placement with the right content in a way to increase sales. In the same way that brick-and-mortar businesses strategically display products, e-merchandising software works to strategically display products on a website to best promote them to buyers (who will, hopefully, become repeat customers). Successful e-merchandising will ensure high customer engagement, low site or shopping cart abandonment, and quality customer conversions. E-merchandising takes cues from traditional product marketing and merchandising. E-merchandising depends on analytics from various touchpoints to deliver a personalized, individualized experience in order to increase engagement, sales, and customer satisfaction. E-merchandising software typically integrates with e-commerce platforms, web content management, inventory management, point of sale (POS), and customer relationship management (CRM) systems.

To qualify for inclusion in the E-Merchandising category, a product must:

- Collect data on customers for future alignment of products/services to customer preferences
- Apply real-time data to recommend other purchases complementary to the current product the buyer is perusing
- Have a functional search bar/option
- Facilitate collaboration between different departments or teams within the e-commerce business
- Integrate with payment gateways





## Top E-Merchandising Software at a Glance
| # | Product | Rating | Best For | What Users Say |
|---|---------|--------|----------|----------------|
| 1 | [Adobe Commerce (formerly Magento Commerce)](https://www.g2.com/products/adobe-commerce-formerly-magento-commerce/reviews) | 4.0/5.0 (600 reviews) | Multi-storefront catalog merchandising with deep customization | "[Solid E-commerce Platform, but Requires Developer Support](https://www.g2.com/survey_responses/adobe-commerce-formerly-magento-commerce-review-12838099)" |
| 2 | [Salesforce B2C Commerce](https://www.g2.com/products/salesforce-b2c-commerce/reviews) | 4.3/5.0 (558 reviews) | Salesforce-native storefront merchandising and promotions | "[Reliable and Scalable Ecommerce with Salesforce B2C Commerce](https://www.g2.com/survey_responses/salesforce-b2c-commerce-review-12711370)" |
| 3 | [Luigi&#39;s Box](https://www.g2.com/products/luigi-s-box/reviews) | 4.8/5.0 (422 reviews) | AI-powered onsite search and product discovery | "[Like a Good Salesperson for My Online Store](https://www.g2.com/survey_responses/luigi-s-box-review-6920722)" |
| 4 | [Experro](https://www.g2.com/products/experro/reviews) | 4.8/5.0 (48 reviews) | AI-powered search, merchandising, and personalization | "[Transforms Digital Experiences with Speed and Precision](https://www.g2.com/survey_responses/experro-review-12434068)" |
| 5 | [Bloomreach](https://www.g2.com/products/bloomreach-bloomreach/reviews) | 4.6/5.0 (761 reviews) | AI-driven search and catalog merchandising | "[Intuitive and Robust Tool for Marketing Automation](https://www.g2.com/survey_responses/bloomreach-review-9247103)" |
| 6 | [edrone](https://www.g2.com/products/edrone/reviews) | 4.8/5.0 (237 reviews) | E-commerce automation with abandoned-cart recovery | "[Smart Marketing Automation Platform](https://www.g2.com/survey_responses/edrone-review-12209118)" |
| 7 | [Elastic Suite](https://www.g2.com/products/elastic-suite/reviews) | 4.7/5.0 (39 reviews) | Wholesale catalog merchandising with visual assortment whiteboards | "[Intuitive, Quick and Easy](https://www.g2.com/survey_responses/elastic-suite-review-12068302)" |
| 8 | [Constructor](https://www.g2.com/products/constructor-io-constructor/reviews) | 4.8/5.0 (58 reviews) | AI-driven searchandizing with automated relevance ranking | "[Great search tool with measurable business impact and a great partner](https://www.g2.com/survey_responses/constructor-review-12213509)" |
| 9 | [Tagalys](https://www.g2.com/products/tagalys/reviews) | 4.8/5.0 (121 reviews) | Rule-based collection sorting and searchandising for Shopify | "[An outstanding team delivering an excellent solution, I’d recommend them to any client.](https://www.g2.com/survey_responses/tagalys-review-11577483)" |
| 10 | [Salesforce B2B Commerce](https://www.g2.com/products/salesforce-b2b-commerce/reviews) | 4.4/5.0 (285 reviews) | CRM-native B2B storefront and order automation | "[Streamlined, Customizable B2B Buying Experience with Salesforce B2B Commerce](https://www.g2.com/survey_responses/salesforce-b2b-commerce-review-12794576)" |

---
## What Are the Most Common Questions About E-Merchandising Software?
*AI-generated · Last updated: May 26, 2026*
### Which E-Merchandising platforms require significant technical expertise and custom coding for advanced personalization?
Based on G2 reviews, several E-Merchandising platforms are praised for powerful customization but also described as demanding more technical skill for advanced personalization. According to verified users, Adobe Commerce often requires specialized developers for complex implementations, custom integrations, and performance tuning. G2 reviewers mention Bloomreach can deliver strong personalization, but advanced features and custom integrations take time to learn. Algolia is also described as highly configurable, though reviewers note that ranking strategies and advanced setup can be complex. Constructor and Experro receive positive feedback for sophisticated merchandising and personalization, but users still mention an upfront learning curve when configuring richer use cases and optimization workflows.


### What highest rated E-Merchandising for connecting customers with products through intelligent discovery and personalization?
Based on G2 reviews, Luigi&#39;s Box stands out for connecting customers with products through intelligent discovery and personalization. According to verified users, reviewers consistently highlight intuitive search, relevant autocomplete, smart recommendations, and easy-to-use analytics that help shoppers find products faster. G2 reviewers mention improved navigation, fewer hard-to-find items, stronger search relevance, and a smoother customer journey across ecommerce sites. Users also describe the platform as easy to implement and manage, with helpful onboarding and support. While some reviewers note limits around advanced scenarios or exports, the overall feedback emphasizes practical product discovery improvements that help merchandising teams guide shoppers toward relevant results with less manual effort.


### What E-Merchandising tools unifying content, personalization, and search for connected customer journeys in enterprise environments?
Based on G2 reviews, several platforms are described as strong fits for enterprise teams that want to unify content, personalization, and search. According to verified users, Adobe Commerce is often used to connect commerce with content workflows, large catalogs, multiple storefronts, and integrations across CRM, ERP, and Adobe tools. G2 reviewers mention Bloomreach for combining AI-driven search, personalization, recommendations, and content or campaign management in one environment. Experro is also noted for pairing search, merchandising, personalization, and no-code content management for tailored digital experiences. Users describe these tools as especially useful when organizations need connected customer journeys across channels, though enterprise buyers should expect some setup, governance, and learning curve considerations.


### What E-Merchandising platforms retail merchandisers stick with after rollout past initial deployment and onboarding?
Based on G2 reviews, retail merchandisers tend to stay with platforms that continue to reduce manual work after launch and remain manageable day to day. According to verified users, Luigi&#39;s Box is often described as stable, easy to learn, and valuable for ongoing search optimization. G2 reviewers mention Tagalys for streamlined merchandising, automation, and strong support that continues beyond onboarding. Hawksearch is also praised for daily usability, responsive support, and tools that help teams maintain searchandising workflows over time. Reviews suggest long-term satisfaction is strongest when the platform keeps improving product discovery, offers reliable support, and lets merchandisers make changes without needing constant developer involvement.


### What top E-Merchandising for product managers optimizing product findability and customer conversion across channels?
Based on G2 reviews, product managers often favor platforms that improve findability while supporting merchandising across web, app, and other digital touchpoints. According to verified users, Constructor is valued for personalized search, browse, recommendations, and rapid experimentation that help teams optimize relevance at scale. G2 reviewers mention Bloomreach for AI-driven search, product discovery, and merchandising controls that support faster optimization and stronger customer journeys. Algolia is also frequently praised for fast, relevant search, typo tolerance, and flexible ranking controls that improve product discovery. Across reviews, the strongest options are the ones that combine relevance, operational control, and analytics so teams can adjust discovery experiences as customer behavior changes.

**Here are some of the top-rated products on G2:**

- [Adobe Commerce (formerly Magento Commerce)](https://www.g2.com/products/adobe-commerce-formerly-magento-commerce/reviews) – suited for complex catalogs, multi-store operations, and integrated commerce workflows
- [Luigi&#39;s Box](https://www.g2.com/products/luigi-s-box/reviews) – helpful for intuitive search, analytics, and faster product discovery in ecommerce stores
- [Bloomreach](https://www.g2.com/products/bloomreach-bloomreach/reviews) – used for AI-driven search, merchandising, and personalization across digital experiences


### What most trusted E-Merchandising by product managers and e-commerce leaders driving conversion growth based on user reviews?
Based on G2 reviews, trust tends to come from platforms that consistently improve product discovery while giving teams enough control to manage merchandising decisions. According to verified users, Adobe Commerce is trusted for enterprise-scale catalog management, integrations, and personalized commerce workflows. G2 reviewers mention Luigi&#39;s Box for reliable search, easy administration, and analytics that help teams improve navigation and conversion. Bloomreach is frequently recognized for personalization, AI-driven search, and recommendation capabilities that support smarter decision-making. Across the category, users most often trust vendors that combine stable performance, useful support, and measurable improvements in relevance, efficiency, and customer experience rather than tools that rely on heavy manual intervention after deployment.


### What is the best E-Merchandising platforms for e-commerce managers delivering personalized customer experiences at scale?
Based on G2 reviews, Adobe Commerce is a strong choice for e-commerce managers delivering personalized customer experiences at scale. According to verified users, it supports large catalogs, multiple storefronts, advanced segmentation, and integrations with CRM, ERP, and broader commerce systems. G2 reviewers mention that teams use it to manage personalized campaigns, targeted catalogs, product recommendations, and complex B2B and B2C experiences from a centralized platform. Reviewers also highlight scalability and flexibility for growing operations, although some note that advanced customization and implementation can require more technical resources. For organizations that need enterprise-level control and broad commerce functionality, Adobe Commerce is repeatedly described as a dependable option.


### How quickly do e-commerce teams see improved conversion rates after implementing E-Merchandising recommendations?
Based on G2 reviews, timing varies, but many users describe seeing benefits relatively early once search, recommendations, or merchandising rules are live. According to verified users, some mention immediate improvements in product discovery, smoother navigation, and less manual work right after implementation. G2 reviewers mention platforms like Tagalys, Constructor, Experro, and Findbar as helping teams surface relevant products faster, improve search relevance, and support better conversion outcomes over time. Reviews also suggest that faster results tend to come when setup is straightforward and teams actively tune synonyms, boosting, recommendations, or campaign rules. More advanced personalization programs may take longer to refine, especially when integrations, catalog cleanup, or rule governance are involved.


### What E-Merchandising platforms enabling product recommendations across omnichannel channels without heavy development work?
Based on G2 reviews, several platforms are described as helping teams launch recommendations across channels without relying heavily on developers for day-to-day changes. According to verified users, Experro stands out for no-code tools that let marketers adjust experiences and recommendations more independently. G2 reviewers mention Tagalys for easy-to-manage merchandising, search, and recommendation workflows that reduce manual effort. Bloomreach is also noted for combining recommendations, personalization, and search in one environment, with users saying setup was manageable for many common use cases. Reviews suggest the easiest tools for leaner teams are the ones with intuitive dashboards, built-in automation, and support teams that help merchants configure recommendation strategies without extensive custom engineering.


### Which E-Merchandising solutions offer AI-powered recommendations and intuitive control for seasonal and promotional needs?
Based on G2 reviews, Bloomreach, Constructor, and Marqo are frequently described as strong options for AI-powered recommendations with practical control for seasonal or promotional merchandising. According to verified users, Bloomreach helps teams use AI-driven search, recommendations, and merchandising rules to support campaigns and optimize category or search experiences. G2 reviewers mention Constructor for personalization, ranking controls, and experimentation that help teams adapt discovery around changing customer intent. Marqo is also praised for pairing AI-driven discovery with merchandising tools like campaign rules and product pinning. Across reviews, the common theme is a balance between automation and control, so teams can surface promoted products without giving up relevance across the rest of the assortment.




## G2 Grid® for E-Merchandising Software
![G2 Grid® for E-Merchandising Software plotting products by satisfaction and market presence](https://www.g2.com/categories/e-merchandising/grids.png?focus%5B%5D=27886&focus%5B%5D=320&focus%5B%5D=35377&focus%5B%5D=1260903&focus%5B%5D=19103&focus%5B%5D=49458&focus%5B%5D=1225644&focus%5B%5D=605)
Highlighted products: Adobe Commerce (formerly Magento Commerce), Salesforce B2C Commerce, Luigi&#39;s Box, Experro, Bloomreach, edrone, Elastic Suite, and Salesforce B2B Commerce.
Underlying data: [Grid® JSON](https://www.g2.com/categories/e-merchandising/grids.json?focus%5B%5D=adobe-commerce-formerly-magento-commerce&amp;focus%5B%5D=salesforce-b2c-commerce&amp;focus%5B%5D=luigi-s-box&amp;focus%5B%5D=experro&amp;focus%5B%5D=bloomreach-bloomreach&amp;focus%5B%5D=edrone&amp;focus%5B%5D=elastic-suite&amp;focus%5B%5D=salesforce-b2b-commerce)


## How Many E-Merchandising Software Products Does G2 Track?
**Total Products under this Category:** 132

### Category Stats (Jul 2026)
- **Average Rating**: 4.55/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product**: Fast Simon (+0.55%) - Among all products in this category, Fast Simon recorded the largest rating increase compared to last month
*Last updated: July 10, 2026*


## How Does G2 Rank E-Merchandising Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 5,800+ Authentic Reviews
- 132+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.


## Which E-Merchandising Software Is Best for Your Use Case?

- **Leader:** [Adobe Commerce (formerly Magento Commerce)](https://www.g2.com/products/adobe-commerce-formerly-magento-commerce/reviews)
- **Highest Performer:** [Luigi&#39;s Box](https://www.g2.com/products/luigi-s-box/reviews)
- **Easiest to Use:** [Luigi&#39;s Box](https://www.g2.com/products/luigi-s-box/reviews)
- **Top Trending:** [Constructor](https://www.g2.com/products/constructor-io-constructor/reviews)
- **Best Free Software:** [Algolia](https://www.g2.com/products/algolia/reviews)


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---


## What Is E-Merchandising Software?

[E-Commerce Software](https://www.g2.com/categories/e-commerce)

## What Software Categories Are Similar to E-Merchandising Software?

- [E-Commerce Personalization Software](https://www.g2.com/categories/e-commerce-personalization)
- [Personalization Software](https://www.g2.com/categories/personalization)
- [E-Commerce Search Software](https://www.g2.com/categories/e-commerce-search)


---

## How Do You Choose the Right E-Merchandising Software?

### What You Should Know About E-Merchandising Software

### What is E-Merchandising Software?

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

- Increased customer conversion
- Reduced cart abandonment
- Easier site navigation for customers
- Personalized recommendations to encourage additional purchases

### Why Use 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.

### Who Uses E-Merchandising Software?

**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.

### E-Merchandising Software Features

**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&#39;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.

### Trends Related to E-Merchandising Software

**Machine learning —** Similar to artificial intelligence, machine learning enables software to learn how to perform a specific task as it is provided more and more data. Using machine learning and artificial intelligence, e-merchandising software can provide more and more personalized recommendations.

**Personalization —** Personalized shopping experiences are attractive to many demographics, and e-merchandising allows online stores to personalize the experience with minimal work on the part of the business. Using data and artificial intelligence, each visitor to the store can receive recommendations that are updated as they make purchases and view items.

### Software and Services Related to E-Merchandising Software

[**E-commerce platforms**](https://www.g2.com/categories/e-commerce-platforms) **—** E-commerce platforms are the platform upon which most e-merchandising software is implemented or integrated. E-commerce businesses create their online store using an e-commerce platform, and the e-merchandising solution adjusts that store accordingly. In many cases, without an e-commerce platform, e-merchandising cannot be used.

[**E-commerce personalization**](https://www.g2.com/categories/e-commerce-personalization) **—** E-commerce personalization software focuses primarily on creating tailored shopping experiences. Rather than focus on the presentation of the products, e-commerce personalization provides personal messaging and product recommendations based on their history on the site. Many e-merchandising tools contain e-personalization features.

[**Product information management (PIM)**](https://www.g2.com/categories/product-information-management-pim) **—** Product information management software centralizes product information, which can then be adjusted by the e-merchandising tool to maximise effectiveness. While PIM software maintains the integrity of product information, e-merchandising packages that information in the most attractive way possible.



