# Best Enterprise E-Merchandising Software

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

   Products classified in the overall E-Merchandising category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business E-Merchandising to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2&#39;s buying advisors to find the right solutions within the Enterprise Business E-Merchandising category.

In addition to qualifying for inclusion in the E-Merchandising Software category, to qualify for inclusion in the Enterprise Business E-Merchandising Software category, a product must have at least 10 reviews left by a reviewer from an enterprise business.





## Category Overview

**Total Products under this Category:** 132


## Trust & Credibility Stats

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

- 30 Analysts and Data Experts
- 5,700+ 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.



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**Sponsored**

### LupaSearch

LupaSearch – AI-Powered eCommerce Search &amp; Discovery About LupaSearch: Headquartered in Europe and founded by a team of veteran search engineers and data scientists, LupaSearch is a fast-growing technology company dedicated to solving the complexities of eCommerce findability. We specialize in serving mid-to-enterprise level online retailers who manage large, complex catalogs. Our mission is to bridge the gap between human intent and machine results, helping businesses globally turn their site search into a high-performing sales assistant. Key Features &amp; Functionality: LupaSearch offers a sophisticated Hybrid Search Engine that combines vector-based semantic search with advanced keyword matching and Large Language Models (LLMs). This ensures the platform understands the &quot;why&quot; behind a query, handling typos, long-tail searches, and multilingual nuances with ease. Key functionalities include AI-driven personalization, dynamic faceted navigation that adapts to search context, and automated product recommendations. Designed for developers and business users alike, our seamless API allows for custom ranking based on business priorities like margins, stock levels, or active promotions. Primary Value &amp; Problem Solved We solve the &quot;zero-results&quot; problem and eliminate the friction that causes high-intent customers to bounce. By providing highly relevant, personalized results in milliseconds, LupaSearch significantly boosts search conversion rates (CR) and revenue per session. We turn site search from a basic utility into a strategic revenue-driving channel, giving eCommerce teams the data-driven insights they need to understand customer demand and optimize their assortment.



[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&amp;secure%5Bad_slot%5D=category_product_list&amp;secure%5Bcategory_id%5D=566&amp;secure%5Bdisplayable_resource_id%5D=566&amp;secure%5Bdisplayable_resource_type%5D=Category&amp;secure%5Bmedium%5D=sponsored&amp;secure%5Bplacement_reason%5D=page_category&amp;secure%5Bplacement_resource_ids%5D%5B%5D=566&amp;secure%5Bprioritized%5D=false&amp;secure%5Bproduct_id%5D=1216468&amp;secure%5Bresource_id%5D=566&amp;secure%5Bresource_type%5D=Category&amp;secure%5Bsource_type%5D=category_page&amp;secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fe-merchandising%2Fenterprise&amp;secure%5Btoken%5D=50c93f114d95312e08bc9ae28069c86c7f0a720494b5cd4fe77036435af326e4&amp;secure%5Burl%5D=https%3A%2F%2Fwww.lupasearch.com%2Fdemo-call%2F&amp;secure%5Burl_type%5D=book_demo)

---

## Top-Rated Products (Ranked by G2 Score)
### 1. [Bloomreach](https://www.g2.com/products/bloomreach-bloomreach/reviews)
  Bloomreach is the agentic platform for personalization. Powering autonomous search, conversational shopping, and autonomous marketing, Bloomreach personalizes the entire customer experience. From retail to financial services, hospitality to gaming, businesses create experiences that drive higher growth and lasting loyalty. Bloomreach drives personalization for 1,400+ brands around the world, including American Eagle, Sonepar, and Pandora. The target audience for Bloomreach encompasses commerce businesses of all sizes that are looking to optimize customer interactions and drive sales growth. Its suite of products is particularly beneficial for marketers, content creators, and ecommerce managers who aim to improve customer engagement and conversion rates. Bloomreach is well-suited for brands operating across multiple channels, as it provides a cohesive strategy to connect with customers effectively. Use cases include personalized marketing campaigns, enhanced product discovery, streamlined content management, and AI-driven customer service, making it a versatile tool for various business needs. Key features of Bloomreach include its Engagement platform, which offers robust marketing automation capabilities that enable businesses to deliver personalized messages and offers based on customer behavior. The Discovery solution enhances the search experience on ecommerce sites, ensuring that customers can easily find products that match their interests. Additionally, the Content product functions as a headless content management system (CMS), allowing for flexible content delivery across various platforms. The Clarity tool, an AI-powered conversational shopping assistant, further enriches the customer experience by facilitating real-time interactions and support. The integration of Loomi, Bloomreach&#39;s AI for ecommerce, significantly amplifies the platform&#39;s capabilities by enabling rapid data processing and analysis. This results in new pathways for customers to engage with products, ultimately leading to increased profitability and accelerated business growth. Bloomreach is designed to simplify complex tasks, offering advanced customer journeys, social ad retargeting, omnichannel support, and AI-powered optimization. This comprehensive feature set provides a holistic view of the customer, optimizing experiences across all channels. The platform is also cost-effective and faster to deploy compared to competitors, reducing reliance on third-party solutions and lowering the total cost of ownership. With high ratings in customer reviews, Bloomreach is recognized for the quality of its user guides, support, and overall reliability, making it a valuable asset for businesses seeking to enhance their ecommerce strategies.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 752

**User Satisfaction Scores:**

- **Integrations:** 8.7/10 (Category avg: 8.6/10)
- **Product Display:** 8.8/10 (Category avg: 8.7/10)
- **Reports &amp; Analytics:** 8.9/10 (Category avg: 8.4/10)
- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [Bloomreach](https://www.g2.com/sellers/bloomreach)
- **Company Website:** https://www.bloomreach.com
- **Year Founded:** 2009
- **HQ Location:** Mountain View, CA
- **Twitter:** @bloomreach_tm (10,410 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/bloomreach/ (1,124 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** CRM Manager, Marketing Manager
  - **Top Industries:** Retail, Marketing and Advertising
  - **Company Size:** 49% Mid-Market, 28% Small-Business


#### Pros & Cons

**Pros:**

- Ease of Use (116 reviews)
- Features (106 reviews)
- Helpful (94 reviews)
- Customer Support (90 reviews)
- Customer Engagement (79 reviews)

**Cons:**

- Learning Curve (91 reviews)
- Learning Difficulty (61 reviews)
- Missing Features (59 reviews)
- Limited Features (54 reviews)
- Difficult Learning (51 reviews)

### 2. [Algolia](https://www.g2.com/products/algolia/reviews)
  Algolia empowers businesses to deliver lightning-fast, AI-driven search and discovery experiences that convert. Trusted by over 18,000 companies and 500,000 developers, Algolia’s API-first platform handles 1.75 trillion searches annually across e-commerce, SaaS, marketplaces, media, and more. From helping retailers boost conversions with personalized product discovery to enabling companies to surface relevant content instantly, Algolia delivers scalable, reliable, and intuitive solutions built for performance. With seamless integration into any tech stack, user-friendly tools for business teams, and advanced AI customization, Algolia makes it easy to launch tailored digital experiences—accelerating time to value and driving measurable business results. Learn more: https://www.algolia.com/


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 427

**User Satisfaction Scores:**

- **Integrations:** 8.1/10 (Category avg: 8.6/10)
- **Product Display:** 8.5/10 (Category avg: 8.7/10)
- **Reports &amp; Analytics:** 8.3/10 (Category avg: 8.4/10)
- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [Algolia SAS](https://www.g2.com/sellers/algolia-sas)
- **Company Website:** https://www.algolia.com
- **Year Founded:** 2012
- **HQ Location:** San Francisco, CA
- **Twitter:** @algolia (25,457 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/algolia/posts/?feedView=all (852 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Who Uses This:** CTO, Software Engineer
  - **Top Industries:** Computer Software, Retail
  - **Company Size:** 60% Small-Business, 29% Mid-Market


#### Pros & Cons

**Pros:**

- Ease of Use (74 reviews)
- Search Efficiency (63 reviews)
- Speed (41 reviews)
- Search Speed (40 reviews)
- Efficiency (37 reviews)

**Cons:**

- Expensive (36 reviews)
- Limitations (21 reviews)
- High Learning Curve (20 reviews)
- Limited Features (19 reviews)
- Learning Difficulty (17 reviews)

### 3. [Hawksearch](https://www.g2.com/products/hawksearch/reviews)
  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 experiences through our innovative features, which enable marketers, merchandisers and developers to accomplish their goals. Hawksearch&#39;s advanced machine learning and automation handle all the reactive and day-to-day monitoring allowing your team to focus on the big picture solution. Our conversion analyzer is built to understand your customer&#39;s keywords and convert them into phrases contained in your data. With built in metric families and libraries, you no longer need to have hundreds of synonyms to handle unit of measure and other metrics.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 77

**User Satisfaction Scores:**

- **Integrations:** 8.0/10 (Category avg: 8.6/10)
- **Product Display:** 8.3/10 (Category avg: 8.7/10)
- **Reports &amp; Analytics:** 7.6/10 (Category avg: 8.4/10)
- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [Bridgeline Digital](https://www.g2.com/sellers/bridgeline-digital)
- **Year Founded:** 2000
- **HQ Location:** Burlington, MA
- **Twitter:** @Bridgeline (1,658 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/16846/ (286 employees on LinkedIn®)
- **Ownership:** NASDAQ:BLIN

**Reviewer Demographics:**
  - **Top Industries:** Retail, Business Supplies and Equipment
  - **Company Size:** 47% Mid-Market, 28% Small-Business


#### Pros & Cons

**Pros:**

- Search Efficiency (11 reviews)
- Search Quality (9 reviews)
- Ease of Use (8 reviews)
- Customer Support (7 reviews)
- Personalization (7 reviews)

**Cons:**

- Improvement Needed (4 reviews)
- Outdated Interface (3 reviews)
- Software Bugs (3 reviews)
- Complex Setup (2 reviews)
- Difficult Navigation (2 reviews)

### 4. [Netcore Unbxd](https://www.g2.com/products/netcore-unbxd/reviews)
  Netcore Unbxd is an AI-powered product discovery platform consistently recognized as a leader by independent analysts. Named a Leader in Gartner’s 2025 Magic Quadrant™ for Commerce Search and Product Discovery for the second consecutive year and earning the highest score in Current Offering &amp; In-Session Personalization in The Forrester Wave™: Commerce Search and Product Discovery Solutions, Q3 2025, Netcore Unbxd stands at the forefront of the category. Powered by advanced search, merchandising, personalization, and Agentic ecommerce, Netcore Unbxd ensures shoppers find the right products faster, leading to higher conversions, order values, and customer satisfaction. Its architecture is built for scale, delivering responses in milliseconds to ensure consistent speed and relevance with zero downtime in the last 10 years. Trusted by leading retailers and brands worldwide, Netcore Unbxd is designed to help ecommerce leaders deliver frictionless discovery experiences and data-driven merchandising strategies, empowered by a proactive shopping agent and automated attribute enrichment for accurate facets, targeted promotions, and inventory-aware recommendations that meet the demands of modern digital commerce.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 65

**User Satisfaction Scores:**

- **Integrations:** 7.8/10 (Category avg: 8.6/10)
- **Product Display:** 7.8/10 (Category avg: 8.7/10)
- **Reports &amp; Analytics:** 7.9/10 (Category avg: 8.4/10)
- **Has the product been a good partner in doing business?:** 8.7/10 (Category avg: 9.1/10)


**Seller Details:**

- **Seller:** [Unbxd](https://www.g2.com/sellers/unbxd)
- **Company Website:** https://netcoreunbxd.com/
- **Year Founded:** 2010
- **HQ Location:** 205 W 37th Street, New York 10018, USA
- **Twitter:** @Unbxd (808 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2002838/ (206 employees on LinkedIn®)

**Reviewer Demographics:**
  - **Top Industries:** Retail, Apparel &amp; Fashion
  - **Company Size:** 57% Mid-Market, 25% Small-Business


#### Pros & Cons

**Pros:**

- Customer Support (11 reviews)
- Search Efficiency (9 reviews)
- Customer Satisfaction (8 reviews)
- Ease of Use (7 reviews)
- Personalization (6 reviews)

**Cons:**

- Delays (4 reviews)
- Integration Issues (4 reviews)
- Time-Consuming (4 reviews)
- Complex Reporting (3 reviews)
- Learning Difficulty (3 reviews)



## Parent Category

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



## Related Categories

- [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)



---

## Buyer Guide

### 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.




