Fast Unified Insights with Interactive Personas at Volkswagen Group

Client NameVolkswagen Group

Client CountryGermany

  • Client typeEnterprise
  • IndustryTransportation, Mobility & Logistics
  • Application areasData & Analytics / Business Intelligence, Marketing, Sales & Customer Engagement, Strategy, Planning & Decision-Making
  • AI technologiesAI Agents & Task Orchestration, Machine Learning, Multimodal AI, Optimization & Planning, Simulation / Digital Twins
  • Business impactsCustomer Experience & Market Growth, Customer Product & Service Innovation
  • Data typesDocuments / Semi-structured Data, Structured Tabular Data, Textual Data, Time Series
  • Delivery modelsProduct / Licensed Software, Service / Subscription
  • DeploymentsHybrid
  • Key capabilitiesPredictive Analytics & Forecasting, Simulation, Digital Twins & Scenario Modeling
  • Project stagesScaling / Expanded Implementation
  • Solution formsAPI / Micro-service Interface, Plugin / Extension for an existing system

Solution Description

Problem description

Volkswagen Group needed a faster, more consistent way to understand diverse customer segments across its brands and markets. Existing persona frameworks were static, time-consuming to update, and scattered across teams, leading to duplicated work and inconsistent insights. This slowed decision-making in marketing, product development, and customer experience initiatives. The lack of a central, dynamic view of personas made it difficult to align strategies globally while tailoring actions locally. Addressing this challenge was critical to improve efficiency, reduce research costs, and enable teams to make faster, data-driven decisions with a shared, up-to-date understanding of their audiences.

Solution

Lakmoos AI built an interactive persona platform tailored to Volkswagen Group’s needs, powered by its neuro-symbolic AI panel. The system generates dynamic, data-driven personas that update instantly as new inputs are added, replacing static documents with a living, interactive interface. Teams across brands and markets can explore personas by segment, behaviour, or market, and instantly query them for specific insights. Automated updates ensure consistency and eliminate manual maintenance, while role-based access supports both global oversight and local adaptation. This solution enabled Volkswagen to centralise audience understanding, speed up decision-making, and reduce the cost and effort of maintaining persona frameworks.

Main Users of the Solution

Primary users include marketing managers, brand strategists, product development teams, and customer experience specialists across Volkswagen Group’s global and local markets. Additional users include market researchers, data analysts, and innovation teams who rely on the personas to guide campaign planning, product design, and customer engagement strategies.

Project timeframe (months)

3

Technologies used

Neuro-symbolic AI (proprietary)

Additional services

  • Anotace / syntetická data / rozšíření datasetu
  • Výběr a přizpůsobení AI modelu

Implementation

Project Owner on the Client's Side

Business Unit Director

Participation on the Client's Side

  • Business / Product Owner
  • Data & ML specialisté
  • Softwarové & datové inženýrství / IT Ops

Form of Supplier Involvement

Joint implementation with the client

Impact and Results

Qualitative Benefits

The solution improved decision-making speed and consistency by giving all teams access to the same up-to-date, interactive personas. Cross-department collaboration became easier, as marketing, product, and research teams could align on a unified audience view. The dynamic nature of the platform reduced outdated or conflicting insights, improving the quality of strategic planning. Communication between global and local teams became more efficient, with shared, real-time data replacing static reports. Overall, the user experience shifted from fragmented and reactive to centralised and proactive, enabling faster, more confident, and better-informed business decisions.

Lessons Learned and Recommendations

Key Success Factors

Close collaboration between Volkswagen Group and Lakmoos AI was central to the project’s success. Early alignment on goals and audience definitions ensured the solution met real business needs. High-quality, diverse data from multiple markets powered accurate and relevant personas. The agile development approach allowed for rapid iterations based on user feedback, increasing adoption. Strong executive sponsorship helped secure resources and drive engagement across departments, while cross-functional teamwork ensured the platform served marketing, product, and research needs equally.

Recommendation for Others

Start by clearly defining how personas will be used across teams, and ensure all stakeholders agree on the core audience framework before implementation. Choose a platform that supports dynamic updates and role-based access to keep insights relevant and secure. Integrate the tool into existing workflows rather than treating it as a separate project, so adoption becomes natural. Plan for regular input of new data to keep personas alive and actionable. Finally, involve both global and local teams early to ensure the solution balances consistency with the flexibility needed for different markets.

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