Algonomy is positioned as Visionary in Gartner’s Magic Quadrant for Personalization Engines
Our Customers
Leading retailers and brands across the globe have grown their revenue with Algonomy’s eCommerce personalization software.
Automatically Curate Personalized Product Recommendations that Boost Conversions and Revenues
Eliminate cold starts. Make use of explicit and implicit data inputs — including browsing and purchase behavior, product attributes, trends, geodata, inventory, and merchandising goals — to select the best personalized product recommendation strategy for every interaction.
Behavioral Decisioning Engine
Our patented Xen AI technology monitors shopper behavior in real time and selects the winner from our 150+ pre-built strategies for each customer interaction.
DIY Strategy Builder
Leverage the industry’s only no-code DSW ‘Configurable Strategies’ to easily build, tune, or tweak algorithms that perform best for your unique business needs and customer scenarios, without burdening your data science team.
Customer Preference Center
Empower your customers to explicitly state their category, brand, and product preferences and use that data to tailor their experiences with personalized product recommendations.
Deep Merchandising Controls
Strike the balance between auto-optimization driven by machine learning and business/brand objectives by setting the desired weights and rules. Optimize for the metrics most important to you by leaving the decision-making to AI.
Largest Library of Personalized Product Recommendation Models and Strategies
Overcome any personalization challenge with our library of 150+ out-of-the-box algorithms that include everything from collaborative filtering, similar item matching, and cross-sell strategies to deep learning models such as visual AI and NLP.
Real-Time Segment Streaming with Audience Manager
With Audience Manager, an add-on feature, syndicate your audiences and segments throughout your entire marketing ecosystem with full control. Define your own segments, use any built-in AI segments, and even combine them to meet any requirement. Learn more
Leverage AI-powered Decisioning for Commerce and Marketing
Create hyper-personalized experiences for both new and returning shoppers with a decisioning engine that picks the best product recommendation strategy in eCommerce for each individual and their current context.
Solve for Fast-changing Catalog, Previously Unsolvable Scenarios
Leverage deep learning neural networks – NLP to generate relevant product recommendations for niche or seasonal products and new launches, even without past purchase or browsing data. Use Visual AI for image-based recommendations for both similar products and complete-the-look.
Optimize and Automate Merchandising
Use advanced merchandising to make precise cross-sell, up-sell, as well as “complete the bundle” recommendations. Merchandise more of the catalog, use automated rules to save time, and automatically handle things like compatibility and stock churn with personalized product recommendations.
Personalize Experiences Across Channels
Leverage online and offline data to create a unified, real-time user profile that forms the basis for hyper-personalization across channels, without losing any context.
Gain Decision and AI Transparency
Gauge the performance of every product recommendation, know its impact on your chosen metrics, and get visibility into why an algorithm was chosen.
Draw inspiration from our Personalization Resources in eCommerce
Explore our eCommerce personalization resources — best practices, case studies, videos, and more — to stay ahead of the curve.
Other eCommerce Personalization Tools
Explore other solutions from our end-to-end personalization software, and learn how they enable individualized experiences at shopper touchpoints beyond product recommendations in eCommerce.
What Leading Brands Say About Our eCommerce Personalization Software
Create Frictionless Experiences with Personalized Product Recommendations
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Drive Hyper-personalized Product Recommendations to Deepen Customer Loyalty
FAQs
Deepen loyalty while increasing revenue and repeat purchases with complementary offers and recommendations that complete, enhance, or replenish.
Balance manual curation and automated optimization by combining the best of real-time AI-driven decisioning and the most advanced set of merchandising tools and configurations on the market.
Manual merchandising leaves recommendation slots unfilled when products go out of stock and new products either are not recommended or do not have recommendations until the merchandiser is able to get around to adding them. Advanced merchandising automatically fills slots when empty or swaps in new items.
