Real-Time 1:1 Personalized Recommendations

REAL-TIME 1:1 PERSONALIZED RECOMMENDATIONS

Value- and Intent-based Product Recommendations

Product recommendations reimagined!

Product recommendations are continuously optimized and personalized in real-time based on each customer’s purchasing behavior, product-level willingness to pay and purchase probability, and navigation behaviors.

Drive conversions and increase AOV by delivering highly relevant product recommendations that align with each customer’s intent and context, maximizing engagement and purchase likelihood.

PRODUCT RECOMMENDATIONS REIMAGINED

The BeansOS Differentiators

Relevance

Reinforcing and Shaping Customer Behaviors

BeansOS focuses on behavioral recommendations that not only reinforce existing customer behaviors but also guide customers toward more profitable actions over time. By shaping customer behaviors, BeansOS enhances the lifetime value of each customer, fostering long-term growth.

Product-Level Variability

Tailored to Individual Preferences

With an extensive product catalog, it’s crucial to understand how each customer’s preferences and needs vary across individual products. BeansOS identifies these variations to make more accurate recommendations that resonate with each customer’s unique tastes.

Stretch + Product Discovery

Helping Customers Explore New Options

BeansOS continuously assesses customer behaviors to determine complementary products they may be interested in, especially in light of new product introductions and discontinued items. This ensures that customers are always offered relevant, timely suggestions that match their evolving preferences.

Cannibalization Reduction

Optimizing Gross Profits While Minimizing Loss

Every personalized offer is carefully assessed for its potential impact of cannibalization on other products. By minimizing this effect at the individual customer-recommendation level, BeansOS ensures that personalized recommendations drive net incremental gross profits.

Sequential Choice Behavior

Understanding the Customer Journey

BeansOS tracks customer behaviors in real time, accounting for the timing and sequence of each action. Doing so allows for the evaluation of how prior decisions influence future ones, enabling BeansOS to deliver relevant recommendations at the perfect moment in a customer’s journey.

Product Recommendation Efficiency

Evolving with the Customer

BeansOS fine-tunes product recommendations continuously, adapting to changes in customer needs and behaviors. This dynamic approach ensures that each recommendation remains relevant, efficient, and impactful, leading to higher customer retention over time.

BeansOS at a Glance

Witness the powerful results BeansOS has delivered for leading retailers. By leveraging data-driven insights, BeansOS drives real, measurable impact in personalizing offers, refining product recommendations, and enhancing customer engagement.

+$4 Billion

2024 Client Web Sales

+300 Million

Personalized recommendations every week

150 ms

Average API response time

From Browsing to Buying: The Power of Personalized Recommendations

Elevate product recommendations with real-time, AI-driven personalization that factors in product-level willingness to pay and purchase probability, and browsing behavior — driving higher conversions, larger baskets, and increased AOV