Deep learning powered by Google Cloud AI.

1:1 Product recommendations

The world's first customer-to-product recommendations engine, made possible with deep learning technology.

Harness the power of our model-per-shopper technology and layer on business rules to create the most relevant product recommendations to date.

Access the same recommendations technology that drives the unrivalled success of YouTube and Google. 

Product_Recommendations-option-4

Outstanding technology, amazing results.

drive-icon

+100% increases in CTRs

Recommendations so relevant, they produce triple digit percentage increases in engagement.

vip-icon-1

Show 300x more products

Put your entire product catalog to work, not just the top products.

effeciency-icon-1

Boost revenue by 5%

Gain incremental revenue on top of any recommendations solution you are running today.

""At MandM Direct we are always striving for the best. We haven't seen any other product recommendations solution perform as well as this.""

Paul Allen

Head of Ecommerce, MandM Direct

Deep learning neural networks.

Recommendations of the future.

Trained in realtime.

No more constant manual intervention, recommendations that learn by themselves.

Truly personal.

Finally, recommendations that react in realtime to the customer's shopping journey.

Qu_RecsPage_Graph-Web-2
Every shopper is unique.

Journey-aware recommendations.

Learning on every click.

Every pageview will change how the recommendations respond on the next.

Hundreds of signals.

Using signals about the customer and details about the product, these recommendations are supreme in every way.

Recommendation_GIF_4_v2_no_shadow
It's where the relevance is.

Make the most of the long tail.

Google has mastered the art.

Think viral YouTube videos. Hero products are only relevant to 16% of your customers, the secret is in the longtail.

It knows what to pick.

Consistently testing long tail products with customers and using deep learning to figure out if they work is the answer to increased customer relevance.

Fashion_Longtail (1)
Empowering ecommerce teams.

Know your catalog inside and out.

Automated health checks.

Troubleshoot any issues related to your entire product catalog - from missing data points to missing products - from every data source you use. 

Complete product and catalog view.

Easily find products by product name or ID, understand how they're categorized and which product attributes are available for use in your campaigns.

g19uMXaTxF

Deep learning recommendations for Retail

Find out why it's different and the dramatic results they drive by listening to Pallav Mehta from Google and Sergio Iacobucci from Qubit in our webinar.

45 minutes
Not every day is the same.

Advanced common bias detection.

Learning on every click.

Every pageview will change how the recommendations respond on the next.

Hundreds of signals.

Using signals about the customer and details about the product, these recommendations are supreme in every way.

Fashion_Insights-1 (1)
Cold starts, warm reception.

Brand new customer or product?

New customers.

Recommendations that work for brand new customers and learn in just a few clicks.

New products.

Using deep attribute matching new products can inherit learnings from older products and then be tested in front of customers.

Fashion_Attributes-1 (1)
mandm-mockup-1

MandM Direct case study

MandM drove a +2.4% site wide revenue alongside +114% CTRs when compared to conventional recommendations systems using deep learning.

Download the case study