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Part of automotive Intelligence Platform

Automotive
golden context

automotive
golden context

Automotive Golden Context is the shared data and business context foundation within Automotive Intelligence Platform. It connects importer and dealer data with shared definitions, business rules and ownership—supporting AIP applications, business decisions and controlled AI workflows.

Executive Board · Business Directors · Data & IT · importer & Dealer Teams

01 // the business challenge

Your customer journey moves across systems.
Your business context should too.

A customer can move from an importer website to a dealer, CRM, DMS and service system. Each system sees only part of that journey.

Challenge

Different identifiers, KPI definitions and reporting logic create competing versions of the same business. Marketing cannot reliably connect spend with sales, dealers lose time reconciling leads and management makes decisions using incomplete context.
KEY MESSAGES
  • Customer and vehicle identities do not match across systems.
  • Lead, sale and service definitions differ between teams.
  • Importer and dealer reports cannot be compared reliably.
  • Manual reconciliation delays commercial action.
  • Revenue, margin and retention opportunities remain hidden.
Identify your context gaps
02 // what is it

Not another system.
The shared context foundation within AIP.

Automotive Golden Context is a core part of AIP. Golden Records connect business entities, the Semantic Layer defines their meaning, and the Knowledge Graph captures their relationships. Together, they provide shared context across connected systems.

Customer context

Connects identity, intent, interactions, purchase and service history. It allows AIP applications to recognize the same customer and understand the relationship across connected importer and dealer touchpoints.

Company context

Connects objectives, KPIs, procedures, offers and brand standards. It ensures that data is interpreted according to the commercial priorities and operating rules of the organization.

System context

Describes available data, integrations, permissions and operational capabilities. It makes clear which information can be used, how current it is and what each connected system can support.

Shared business rules turn raw records into decision-ready context for AIP.

Explore the context model
03 // how it works

Build only the context required by the decision.

The Automotive Intelligence Platform implementation begins with a business outcome—not with a request to connect every available source. The decision determines the initial Golden Context scope.

Method

Within AIP, we connect the required data and align its meaning and ownership. The Context Engine makes relevant context available to platform applications, supporting views, workflows, alerts, recommendations and controlled AI capabilities.

KEY MESSAGES
  • Measure: define the business outcome, KPIs and baseline that need to improve.
  • Connect: establish the required Golden Context foundation within AIP, aligning sources, identifiers, definitions, business rules, permissions and ownership.
  • Improve: use AIP applications to turn shared context into decisions and actions, measure the result and reuse the foundation for the next use case.
Define the first decision
04 // business impact

Turn shared context into measurable performance.

When importer and dealer teams work from the same business reality, data stops being a reporting burden and starts supporting profitable decisions.

Impact

AIP uses Automotive Golden Context to connect commercial activity across the customer and vehicle lifecycle. Its applications help reveal where value is created, where it is lost and which action can improve the result.

THE RESULTS
  • Higher revenue: recover opportunities lost between marketing, dealer follow-up, sales and aftersales.
  • Higher margin: identify the channels, offers, vehicles and activities that create profitable growth.
  • Better conversion: connect customer intent with timely sales and service action.
  • Stronger retention: use purchase, vehicle and service context to increase customer lifetime value.
Explore the business impact
05 // importers and dealer groups

One context. Value for both sidE.

Importers need consistency across the network. Dealer groups need local context that helps them act. AIP supports both through its Automotive Golden Context foundation.

Alignment

Shared definitions and objectives create one version of performance, while dealer-level stock, customer, lead, sales and service information keeps every decision operationally relevant.
KEY MESSAGES
For Importers
  • Compare network performance using consistent definitions
  • Connect marketing, leads, sales, stock and service with business results
  • Direct investment and network support to the areas with the greatest potential
For Dealer Groups
  • Prioritize leads, vehicles and customers that require action
  • Reduce manual reporting and duplicated analysis
  • Improve conversion, customer value and margin across locations
Discuss your AIP priorities
06 // CONTEXT FOR AI

Give AI the context of your business.

Reliable AI requires relevant information, agreed definitions and appropriate permissions. Within AIP, Automotive Golden Context provides that foundation and the Context Engine makes it available to applications and AI workflows.

Trust

The Context Engine selects and combines relevant customer, company and system context for each request. It delivers facts, definitions and supporting information to AIP applications and AI workflows, with visible sources, freshness and access permissions.

THE MESSAGES
  • Use approved business definitions instead of prompt-level assumptions
  • Make data sources and freshness visible
  • Apply permissions before information reaches an AI workflow
  • Keep customer, company and system context connected
  • Introduce AI only where the business purpose and controls are clearly define
  • Deliver relevant context to support decisions across the importer and dealer network.
Prepare your context for AI
07 // Modular implementation

Start with one decision.
Expand without rebuilding the foundation.

The first value does not require a full data transformation. Start with one measurable outcome and the minimum context needed to improve it.

Scale

AIP develops in practical stages, extending its Automotive Golden Context foundation as new sources and applications are connected. Each stage delivers a usable result and supports the next business priority. No need to replace CRM or DMS. No need to connect every source at once. No need to implement AI to create the first value.

KEY MESSAGES
  • AIP Foundation: one outcome, minimum required sources, agreed definitions, named owners and one usable output
  • Connected AIP Applications: additional sources, shared identifiers and cross-functional business rules
  • Context for AIP Intelligence: approved reusable context delivered through the Context Engine to applications and controlled AI workflows
Define your initial AIP scope
08 // your next decision

Choose one business priority.
We will define the initial AIP scope and the Golden Context foundation it requires.

// Start with the Business Question

Which challenge is limiting performance today?

In a 30-minute discovery call, we will clarify your business priority and identify a practical starting point for AIP.

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