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What is Maropost Merchandising Cloud?

Maropost Merchandising Cloud is an AI-driven ecommerce search and merchandising solution built to improve how shoppers discover products and navigate online catalogs. The platform combines intelligent site search, automated category merchandising, personalized recommendations, and manual merchandising controls within one environment. Its search technology uses shopper behavior, natural language understanding, spelling tolerance, autocomplete, synonyms, and intent-aware ranking to surface relevant results beyond exact keyword matching. This allows shoppers to find products even when they use misspelled terms, vague descriptions, or everyday language that differs from catalog wording. Smart Collections automatically organize category pages using signals such as popularity, inventory, product margin, and historical performance. Merchandising teams can retain direct control by boosting, burying, excluding, or pinning products whenever business priorities need to override automated rankings. Campaign scheduling allows those rules to begin and end automatically for launches, promotions, clearance events, and other merchandising periods. Product recommendation tools use real shopper behavior to generate options such as recently viewed products, bought-together items, trending products, popular items, and personalized suggestions. Recommendations can be placed across home pages, product pages, carts, and category pages, with preview functionality available before publishing changes. Additional controls let merchants manage out-of-stock visibility, remove products from search or autocomplete, and redirect non-product queries without requiring custom development. Maropost Merchandising Cloud integrates with Shopify, BigCommerce, Neto, and Norce to keep merchandising, search, and collection data synchronized with the retailer’s existing storefront.

What is BytePlus Recommend?

A fully managed solution that offers personalized product suggestions specifically designed to meet your customers' unique needs. BytePlus Recommend utilizes our advanced machine learning capabilities to generate real-time and targeted recommendations. Our top-tier team has an impressive history of providing insights on some of the most renowned platforms globally. By analyzing user data, you can enhance engagement and create tailored suggestions that align with customer behaviors. BytePlus Recommend is user-friendly, seamlessly integrating with your current infrastructure while automating the machine learning processes. Drawing upon our extensive research in machine learning, BytePlus Recommend crafts personalized recommendations that resonate with your audience's tastes. Our expert algorithm team is proficient in formulating bespoke strategies that adapt to evolving business objectives and requirements. The pricing structure is based on the outcomes of A/B testing, ensuring that your investment aligns with your business needs and optimization goals are effectively established. This commitment to adaptability and precision makes BytePlus Recommend an invaluable asset in your marketing toolkit.

Media

Media

Integrations Supported

Appbrew
Canopy
Maropost Marketing Cloud
Shopify
Stamped
Yotpo
stockinstore

Integrations Supported

API Availability

API Availability

Pricing Information

$149.00/month
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Maropost

Date Founded

2011

Company Location

Canada

Company Website

maropost.com/products/merchandising-cloud

Company Facts

Organization Name

BytePlus

Date Founded

2021

Company Location

Singapore

Company Website

www.byteplus.com/en/product/recommend

Categories and Features

eCommerce Search

Not specified

Personalization

Behavioral Targeting
Content Analytics
Contextual Targeting
Customer Profiles
Experience Management
Recommendation Engine
Website Personalization

Upsell & Cross-Sell

Not specified

Categories and Features

AI Tools

Not specified

eCommerce

Not specified

eCommerce Personalization

A/B Testing
Dynamic Pricing
Personalized Site Navigation
Product Recommendations
Reporting / Analytics

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Predictive Modeling
Statistical / Mathematical Tools

Personalization

A/B Testing
Account Based Marketing
Behavioral Targeting
Campaign Segmentation
Content Analytics
Contextual Targeting
Customer Profiles
Experience Management
Recommendation Engine
Website Personalization

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