Artificial intelligence use cases

SAP to Databricks transformation

Move your legacy SAP data to a modern Lakehouse faster and more cost-effectively.

SAS to Databricks

Modernise analytical workloads by transitioning from legacy SAS environments to Databricks.

SAP BW migration

Reduce the migration scope by identifying inactive and unused logic.

AI-native account management

Transform account management into a proactive, AI-driven revenue engine, reducing administrative overhead and increasing commercial impact.

Communication inspector

Replace manual sampling with continuous, explainable AI-driven analysis of calls, chats, and emails.

Marketing attribution 360

Understand the true impact of each marketing channel across complex customer journeys and optimise investment decisions.

Digital advertising optimisation

Leverage AI to refine targeting, segmentation, and campaign performance across digital channels.

Website personalisation

Deliver tailored digital experiences based on user behaviour, preferences, and intent in real time.

Product visuals AI

Generate high-quality marketing visuals using AI, accelerating content production and creativity.

Dynamic pricing

Optimise pricing strategies by integrating market dynamics, competitor data, and demand signals to maximise competitiveness and margins.

Persona 360

Unify and enrich customer profiles using structured and unstructured data to enable highly personalised experiences, particularly in banking and insurance.

Smart search for eCommerce

Enhance product discovery with intelligent search capabilities that handle typos, synonyms, and intent.

Betterfy for eCommerce

Provide explainable product recommendations that help customers make faster and more confident purchasing decisions.

Quality inspector

Automate production quality control using advanced visual models with high accuracy, even in complex environments involving 3D or thermal imaging.

AI technical knowledge assistant

Combine structured SAP data with unstructured knowledge sources to support technicians, automate tasks, and accelerate issue resolution.

Shelf inspector

Move from manual checks to real-time shelf intelligence, improving product availability, compliance, and in-store execution.

Product matching and categorisation

Automatically classify and organise large product catalogues, improving operational efficiency and SEO performance.

Location intelligence

Leverage geospatial data and machine learning to support site selection, market analysis, and risk management.

Factorial A/B testing

Optimise digital experiences by testing multiple variables simultaneously and measuring their impact on key metrics.

AI-native claims platform

Automate claims processing and support teams with AI-driven workflows, improving speed and accuracy.

Fraud, risk and AML detection

Boost the security of digital transactions and online activities by analysing thousands of data points in real-time and flagging suspicious transactions or fraudulent claims.

Structured document reader

Extract and structure data from documents such as invoices or contracts using NLP and computer vision.

Risk scoring with machine learning

Improve credit risk assessment with advanced models that go beyond traditional statistical approaches.

Proactive renewals and churn prevention

Identify at-risk customers and enable timely interventions to improve retention and lifetime value.

AI calving

Use real-time camera-based AI detection to monitor livestock and anticipate calving events, enabling timely intervention and reducing risk.

Digital pathology pipeline

Accelerate drug development and reduce costs through large-scale automated medical image analysis.

Natural language processing for communications

Analyse chats, emails, and call transcripts to extract insights and improve customer engagement.