Algonomy is positioned as Visionary in Gartner’s Magic Quadrant for Personalization Engines
Leading retailers and brands across the globe have grown their revenue with Algonomy’s eCommerce personalization software.
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 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.
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 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.
Create hyper-personalized experiences for both new and returning shoppers with a decisioning engine that picks the best recommendation strategy for each individual and their current context.
Leverage deep learning neural networks – NLP to generate relevant 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.
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.
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.
Gauge the performance of every recommendation, know its impact on your chosen metrics, and get visibility into why an algorithm was chosen.
Explore our eCommerce personalization resources — best practices, case studies, videos, and more — to stay ahead of the curve.
Explore other solutions from our end-to-end personalization software, and learn how they enable individualized experiences at shopper touchpoints beyond product recommendations.
Create Frictionless Experiences with Personalized Recommendations
Use Algonomy Recommend to make
every shopper feel that your web
store was created just for them.
Fill out the form, and one of our
recommendation experts will
get in touch shortly.
Drive Hyper-personalized Recommendations to Deepen Customer Loyalty
