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E-Commerce

Product & Service Recommenders

Imagine a site or service that knew what people were likely to buy based on live engagement, so presented it to them.

 

Actually, you don't need to imagine.

Boost conversion rates with a world-class recommendation system built on Amazon Personalize. We’ll handle the setup, training and integration to have you up and running within 30 days, just as our partner did for 'the Netflix of Germany' RTL Interactive.

One-to-One Commerce

Personalised Content Means Better Engagement

Amazon Personalise

Tried and tested

In 2020, recommender systems are nothing new. Fairly recently, Amazon released 'Amazon Personalise' through AWS to make it even easier to install a personalised web service. 

Whilst Amazon's marketing efforts suggest "an engineer with no prior experience in Machine Learning" can install it, we beg to differ.


Machine Learning mostly fails not from the maths, but from the engineering. 

Real-time Event Integration

It's alive

Consider the time you spend browsing an online shop. You navigate around and, with each click, you're revealing your intentions.

Often, these intentions go uncultured; however, even when they are captured, this information is meaningless by the time its analysed by research teams.

Real-time event integration means that by the time you've clicked the back button on your browser, the system has already clustered you and changed what the home page presents. Creepy or cool, we'll leave your bottom line to decide.  

Engineering First

Kaizen, by default

Recommendation systems re-learn as often as you tell them to. 

Continual optimisation is in-built with every installation, so contextual recommendations improve with every engagement (or lack thereof).

Harness the power of Goliath. Amazon's highly advanced deep learning kit sits behind every solution.

Increase engagement

Presentation from propensity

"With Amazon Personalize, you provide an activity stream from your application – clicks, page views, signups, purchases, and so forth – as well as an inventory of the items you want to recommend, such as articles, products, videos, or music."
-Amazon Personalise website

Use-Cases

Real Client Examples From the Collective

Financial Services

Find the best placement for a storefront with city wide passer-by analysis

Confidential

Financial Services

Cloud based content management and media library

Timelooper

Financial Services

An intelligent chatbot for ensuring responsible gaming practice

Confidential

Financial Services

Player segmentation for online gaming

Confidential

Financial Services

Recommender system

Confidential

Financial Services

Boost engagement with personalized recommendations

RTL Interactive

Financial Services

Multi-device media attribution

AO.com

Financial Services

Optimise pricing per-user to maximise sale value without loss of customers

Lekarna

Financial Services

Evolutionary algorithms to power a dynamic web enviornment to improve conversion rates.

AO.com

Financial Services

Multi-touch attribution analysis to increase marketing effectiveness

Loveholidays.com

Financial Services

Prediction model to recommend correct growth strategy to 95% accuracy.

Ladder.io

Financial Services

Automated speech recognition based solution

eTutorWorld

Financial Services

Accurate product recommendations to increase revenue and reduce churn

Confidential

Financial Services

Segment online customers

AAA Auto

Financial Services

Minimise perishable good returns with accurate sales predictions

Confidential

Financial Services

Customer segmentation and entire user-history to predict purchase outcome

ImmobilienScout24

Financial Services

Multi touch attribution model for cross device marketing

ao.com

Financial Services

Predict design attractiveness to increase the speed and quality of designers

Confidential

Financial Services

Customer experience monitoring system

Confidential