Real-Time 1:1 Personalized Offers

REAL-TIME 1:1 PERSONALIZED OFFERS

Real-Time Offers. Personalized to Increase Impulse Buying.

Product recommendations amplified!

“Now or Never” offers, whereby both the products offered and their individualized discounts are continuously optimized and personalized in real-time at each step of a customer’s journey.

PRODUCT RECOMMENDATIONS AMPLIFIED

The BeansOS Differentiators

“Now or Never” Offers

Creating a Sense of Urgency for Immediate Action

”Now or Never” offers, whereby both the products offered and their individualized discounts are continuously optimized and personalized in real-time at different steps of a customer’s journey. This creates urgency for the customer to act quickly, leveraging impulse to drive immediate purchases and prevent missed opportunities.

Personalization at Every Touchpoint

Optimizing the Entire Customer Journey

The real-time 1:1 personalized offers can be delivered across every step of the customer journey, including:

In the Cart
In the Product Description Page
When a product is added to cart

Product-Level Willingness to Pay

Aligning Offers to Each Customer’s Perceived Value

Understanding that a customer’s willingness to pay varies by product, BeansOS tailors each personalized offer to reflect this variability. Doing so allows BeansOS to maximize conversions while staying aligned with each customer’s perceived value of a product.

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 receive relevant, timely offers 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.

Offer Efficiency

Evolving with the Customer

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

Multi-Layered AI and ML Models

Precision and Adaptability

Our suite of AI and ML models—including gradient boosted trees, Bayesian networks, multi-armed bandits, , and neural networks—works in tandem to evaluate each individual customer’s behaviors and decisions, continuously optimizing to achieve the desired business objective.

Adaptive Model Selection

Continuously Optimizing for Success

BeansOS deploys a range of models for each retailer, constantly monitoring their performance. Our system automatically selects and adapts to the best-performing model, ensuring the most accurate predictions and recommendations are made at all times.

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

The future of retail is personal. We’re just helping you take it to a whole different level.

Supercharging the product recommendations to include “Now or Never” 1:1 personalized offers is the ultimate strategy to increase impulse buying, basket size, and AOV.