Solution

Smart Recomendation

Personalized Offer Engine

A Cloud-Based AI/ML solution designed for strategic control over margins without losing sales. Its main goal is to generate real-time, highly personalized product recommendations, focusing on both conversion chances and profitability.

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Two Core Functionalities

TAI optimizes discounts to safeguard margins and uses intelligent cross-selling to deliver relevant value.

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Automatically optimize discounts

Implement Intelligent Cross-Selling

Who benefits most from Smart Recomendation?

It is perfect for large organizations that need multi-variable, high-accuracy forecasting for essential processes like resource planning, budgeting, and supply chain optimization.


E-commerce and Retail

For online product and content recommendations.

Telecommunications (Telco)

To optimize top-up offers, bundles, and retention campaigns.

Media and Content

For dynamic website personalization and content recommendations.

Key Business Impacts

In real-world implementations, Smart Recommendation has shown a significant impact on commercial performance.


UP to 4%

Net Sales increase

+ 2.4 pp

Conversion rate

UP to 14%

Boost in revenue

Smart Recommendation combines Strata's proprietary models, AWS Personalize capabilities, and a Real-Time Decisioning Engine (RTDM) that ranks recommendations based on a key economic criterion.

Transforms customer interactions into real-time personalized offers that increase conversions and loyalty.

How do they Work?

Its functionality is based on the sequential integration of these key components.


Step 01

Step 03

AWS Personalize Service

The outcomes derived from Strata’s models are integrated with the AWS Personalize Service, leveraging native cloud-based personalization capabilities.

Step 03

Strata RTDM Solution

The workflow ends with integration into the Strata Real-Time Decision Making (RTDM) Solution to ensure hyper-personalized recommendations are delivered and acted on in real time.

Step 01

Strata ML Models Portfolio

The system's foundation starts with the application of Strata's Machine Learning Models Portfolio.

Step 02

AWS Personalize Service

The outcomes derived from Strata’s models are integrated with the AWS Personalize Service, leveraging native cloud-based personalization capabilities.

Step 03

Economic Weighting

Recommendation Weighting with a Profitability Focus is applied, integrating the economic criterion to maximize the business value of each suggestion.

Step 04

Strata RTDM Solution

The workflow ends with integration into the Strata Real-Time Decision Making (RTDM) Solution to ensure hyper-personalized recommendations are delivered and acted on in real time.

Customer Stories

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