Selection of interesting projects we worked on in the past
Impression microtargetting powered by AI
Ceska sporitelna (part of Erste group), major CE bank
Using individual level impression data and a machine learning model to predict affinity to banking products to manage the display ad budget on a individual lead level. The output was a automated data pipeline which ingested data from the ad system, scored leads using the machine learning model and uploaded audience data back to the ad system. Using Spark on Google Cloud Platform (Dataproc)
Better-value Product Recommender
“The better-value product recommender, which DataSentics developed for us, enables our customers to choose alternative products transparently based on their advantages and disadvantages. The solution is unique in the space of recommenders thanks to using machine learning to generate transparent and explainable recommendations to our customers. This led to an increase in revenue of up to 20% in certain categories while increasing customer satisfaction at the same time. DataSentics was a partner for us along the whole journey from the initial idea to a scalable solution in production and worked with us as one team.”
Head of Mall eshop
Social network influencer recommendations/relevance search
Socialbakers, AI-Powered Social Media Marketing Suite
As part of the project we helped develop the influencer recommendation and relevance search algorithm and automated data pipeline for the social media analytics platform using Spark, Databricks and Elasticsearch.
Online sales prioritization
Allianz, Major insurer
Online sales of motor insurance web leads - call centre prioritization predictive model
Customer and digital marketing analytics
Mana, FoodTech startup
Customer analytics and targeted micro campaigns (CLV, etc.)
Supply chain analytics and demand prediction
Kooperativa, formerly Pojistovna Ceske Sporitelny (Vienna Insurance Group), major CE life insurer
Building data science team and customers/ sales analytics, sales opportunities predictive model and distribution to sales agents
Ride analytics and prediction, KPI dashboards
As part of the project KPIs for the areas of marketing, corporate sales and supply management have been defined and a set of interactive dashboards have been implemented for these KPIs. This enables Liftago to monitor the performance of their business and understand the key factors which contribute to the KPI development. This contains also an advanced prediction and planning model which the seasonality of the business and dynamics of the client portfolio.
Measuring efficiency of multichannel digital advertising campaigns
Digital marketing agency
MarketUP performs multichannel digital advertising campaigns for it's clients across a wide spectrum of ad systems like Google Adwords, Seznam Sklik, Facebook Ads, Adform, etc. The goal of the project was to ensure up-to-date online reporting on the campaign results using the Keboola and Microsoft PowerBI platforms across all systems both for MarketUP specialists and MarketUP clients. The goal was to increase the added value of MarketUP services towards it's clients and increase the efficiency of specialists by removing the need for manual reporting.
Customer digital journey analytics for job portal
Creation of interactive dashboard of the customer journey towards conversion and analysis of the impact of digital campaigns across different ad channels in Qlik Sense (Facebook, Google Adwords, etc.) including several attribution models.
Unified customer view across financial institutions
Major financial advisory firm
Build data platform on Azure to regularly collect and ingest detailed data about the development of contracts of a client across different various financial institutions and building a single customer view to be used for predictive modelling and business intelligence.
Books recommendation engine
Municipal library of Tabor
Python solution implementing our enhanced JLH-measure recommendation algorithm which is tailored to the specific situation of book recommendation where there is a huge number of books and sparse user rating data. Our algorithm combines publicly available external data (rating websites, etc.) with the internal data of the library.
Bike usage analytics and digital marketing
Rekola, CE bike sharing platform
Online and offline customer view and predictive analytics
We helped the client build a wholistic view of the customer journey combining both online (web, display ad impressions, mobile app) and offline (transactions, products, ...) interactions. On top of that several predictive models were built to support ad targetting and cross-sell/up-sell/retention use cases.
Recruitment augmented by AI/NLP
Using NLP to detect fraud
Fraud detection based on natural languange processing of claim descriptions.
Call centre efficiency improvement using NLP
Using natural language processing of call transcripts (speech-to-text) for several call centre optimisation use cases / predictive models.