Building a Sophisticated Alerting System for MandM Direct
Read how Datatonic's alerting system enables MandM Direct to identify frictions in customers' online experiences and take action proactively.
Advancing MLOps Capabilities with Babyshop
Read how Datatonic helped Babyshop enhance their MLOps capabilities by improving a single machine learning pipeline on Kubeflow Pipelines.
Article Content Personalization for The Sun & The Times
Through state-of-the-art recommenders, Datatonic has personalized articles in real-time for The Sun & The Times on Google Cloud Platform.
Detecting Consumer Emotion with Automated AI for Realeyes
Learn how Datatonic supported Realayes, with enhancing their R&D capabilities with scalable and cost-efficient Machine Learning through Kubeflow on Google Cloud.
Redesigning INTERSPORT’s Store Segmentation Using ML
Read how Datatonic redesigned INTERSPORT’s store segmentation strategy with Machine Learning, enabling improved product assortment.
Improving Ad Targeting Efficiency for TV4
Discover how Datatonic designed and implemented a machine learning approach to improve TV4’s ad-targeting efficiency.
Have a look at the results an online retailer saw when optimising delivery pricing with Datatonic's help.
Automating Digital Marketing Campaigns
Take a look at how the Datatonic team automated daily campaign audience creation in Google Ads and Facebook for a large online retailer.
Eliminating in-store packaging
In order to help Lush become more sustainable, Datatonic developed an end-to-end model training and serving pipeline to improve the performance of the Lush Lens app.
Data Lake on GCP
Check out how we built a future-proof data lake solution for LKQ to enable them to consolidate their data for strategic analysis and machine learning.
We helped our client optimise stock profiles at each of their branches across the UK. Using Machine Learning, we have enabled our client to optimise their stock levels based on future demand.
Our client wanted to recommend personalised product bundles to its e-commerce customers in order to increase Average Order Value (AOV).
Customer Lifetime Value Prediction
Customer Lifetime Value
We helped an online fashion retailer optimise digital media spend by more accurately predicting future customer value with machine learning.
Natural Language Processing
We used our machine learning expertise to help HOME develop a platform which renders external data into a centralised search engine to help inform clients marketing strategies.
Image Recognition for Identifying Species
Check out our blog post explaining how our team worked with ZSL and Google Coud creating a platform allowing conservationists to use Cloud AutoML to create image recognition models from their existing camera trap data.
Check out our case study with Google to find out how we helped accelerate the building of a new fully-fledged analytics platform for MoneySuperMarket.
Read Google's customer story and find out how Datatonic helped Coolblue gain valuable insight from their data with BigQuery and Google Analytics Premium.
Ad Spend Optimisation for MandM Direct
Check our our blog post about how Datatonic helped MandM Direct optimise their Google Ad spend with an automated machine learning pipeline.
Read more about how Datatonic helped a top UK retailer to make personalised product recommendations for their customers.
End-to-end Analytics System
Using data engineering and top analytics experience to help a leading media company improve the analysis of millions of subscribers TV viewing experience.
Datatonic used 120 billion road sensor readings to build a machine learning LSTM model capable of predicting road congestion.