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Recommendation Engine

Tailor every step of your customer's journey with personalised recommendations using the power of data-driven AI. Want to know how?
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Quick Links
  • Overview
  • How Does It Help Your Business?
  • Foresight of Change
  • Use Cases
  • Why Choose our Recommendation Engine?
  • Data Protection and Confidentiality

Delighting Customers With Personalisation They Need

Online shopping now happens everywhere, with almost 94% of consumers worldwide engaging in digital commerce, making it the go-to platform for product purchases, brand experiences, and loyalty-building.

The commerce landscape is evolving at an unprecedented pace, with 95% of C-level executives acknowledging that customer lifestyles are changing more rapidly than they can adapt, and 67% of consumers worldwide expect companies to meet their evolving needs in innovative ways.

These expectations make personalisation in digital commerce highly complex and challenging to manage. But not anymore; our recommendation engine powered by advanced machine learning helps e-commerce leaders tackle this problem and take customer expectations to the next level. So, instead of offering traditional rule-based services, you can set your own 'out-of-the-box' choices to meet the specific goals of different audience segments based on how they interact with your business platform.


Innovate & Drive Value

Where would you apply data-driven AI to improve your business?

Uncover Seven Use Casesicon

How does it help your business?

Customize Your Buyer's Journey

From start to finish, enjoy personalized product recommendations based on your preferences, ensuring a tailored shopping experience.

Personalize Content to Match Buyer Intent

Captivate audiences by aligning in-page content to match buyer preferences, increasing engagements, and extending the duration of their visits.

Foresight of Change

Use Cases

Gain your customer's trust by showing how well you understand them

Personalize Every Purchase Step Unique to the User

With our recommendation engine, you can offer personalized product recommendations across all customer interactions, including your site, mobile app, emails, communication channels, and more.

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Why Choose our Recommendation Engine?

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Tailored business solution

Tailor our recommendation engine with custom models to meet your business needs and objectives.

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Efficient and easy setup

Our standard plan is perfect for e-commerce and content companies looking for quick, personalized recommendation setups.

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Advanced customization options

Our premium plan offers extensive support for complex data, providing custom models to meet various industries' requirements.

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Robust data validation

Ensure the integrity and quality of your data with automatic checks in the Standard plan and hands-on support in the Premium plan.

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Real-time predictive insights

Leverage real-time results prediction with post-filtering for dynamic, up-to-the-minute recommendations that keep users engaged.

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Comprehensive industry support

From e-commerce to entertainment, our engine adapts to your industry with solutions for video, live streaming, and more.

Data Protection and Confidentiality

We safeguard your data with confidentiality

Certifications and Compliance

Our longstanding commitment to data security

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GDPR Compliance

Empowering consumers in the European Union (EU) with the authority to manage their personal information.

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CCPA Adherence

To secure California consumer’s rights, we offer greater control over their personal data collected for business use.

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ISO/IEC Certifications

We adhere to the ISO/IEC 27001:2013 and ISO/IEC 27017:2015 standards for information security management.

Frequently Asked Questions

Here, we have listed all the most commonly asked questions. Feel free to contact us if the questions listed here aren't what you want

    1. Data Setup and Validation: Initiate by ensuring your recommendation data points are accurately defined and meet quality standards. Then, we tailor the placement of recommendations and establish precise rules for attribution.
    2. Model Development and Training: Next is the selection of the appropriate model type that matches your business goals, setting your optimization objectives, and defining the scenario to begin the model training process.
    3. Refine Recommendations: Adjust recommendations dynamically, employing filters to remove duplicates, enhancing the visibility of particular recommendations, and suppressing others as needed.
    4. Optimization via A/B Testing: Employ A/B testing tools to assess and confirm the performance improvements delivered by our recommendation engine, ensuring the most effective outcomes.
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Getting Started

Dive into the world of data-driven AI with a complimentary one-on-one consultation. Our expert team is ready to guide you through the capabilities and benefits of our solutions.