Data intelligence for how automotive manufacturing actually runs
From tiered suppliers to just in time execution, automotive operations demand precision. LakeStack helps teams see what matters, act faster, and protect production when variability hits.
Data intelligence, enabling automotive performance
High part counts, tiered suppliers, and just in time execution leave little room for error. Intelligence must expose risk early, at the point where production is impacted.
30% lower expediting and premium freight costs
35% faster resolution of production and supply disruptions
Up to 40% fewer unplanned line stoppages and downtime
35% higher production and capacity planning accuracy
Customer story
Modern automotive intelligence depends on trusted data that is available quickly. AFG Tech unified fragmented automotive data sources into a single, governed foundation, enabling faster reporting and analytics without long engineering cycles. This foundation now supports downstream supply chain and operational intelligence use cases.
To deploy data lakehouse
Operational workflows
What you can achieve
Real execution scenarios where part, supplier, and production decisions make or break the line.
Executives see which volumes and programs are truly achievable based on real parts availability, not optimistic assumptions.
Earlier risk detection gives teams time to select cost effective recovery options instead of defaulting to expediting.
A single shared view aligns operations, procurement, and planning, accelerating decisions when time matters most.
Leadership gains advance visibility into line stopping components across key plants and vehicle programs, allowing intervention before schedules are locked.
Upstream supplier exposure becomes visible early, reducing late surprises that typically surface through Tier 1 suppliers.
See how this applies to your automotive operations
Works with the systems automotive teams already rely on
Our data intelligence solution integrates with the core ERP, MES, planning, and logistics systems commonly used across automotive manufacturing. It connects to existing data sources to create a unified view of parts, suppliers, and production, without replacing systems already in place.
Frequently asked questions
Because the data models and ingestion pipelines are pre built for automotive supply chain and manufacturing contexts, organizations can go live in as little as two weeks. Early impact typically includes faster visibility into part constraints, reduced manual reconciliation, and more confident production decisions within the first few weeks, with financial benefits starting to compound shortly after. Teams can quantify this impact upfront based on expediting costs, downtime risk, and planning inefficiencies. Use the ROI calculator to estimate time to value and potential savings before a data discovery workshop.
Operational signals from suppliers, plants, and logistics are ingested continuously or at high frequency, allowing dashboards and exception views to reflect current conditions. This enables teams to identify risks such as part shortages or supplier delays early enough to intervene before schedules are locked or the line is exposed, reducing costly last minute recovery actions. Book a demo to see near real time execution workflows in action.
Tier 2 and Tier 3 dependencies are often invisible until issues surface through Tier 1 suppliers. LakeStack links upstream supplier signals to specific parts, plants, and programs, helping teams understand how issues propagate through the network and which production lines are truly at risk. This improves prioritization, reduces surprise disruptions, and allows teams to intervene earlier. Book a data discovery workshop to map tiered supplier risk across your supply base.
Traditional BI tools rely on delayed extracts and static dashboards that explain what already happened. LakeStack focuses on the data foundation itself, ensuring data is timely, reconciled, and context aware before it reaches analytics. The result is execution level insight that supports decisions while there is still time to act, not after production outcomes are already determined.
Pre built data models, automation, and natural language querying allow planners, operations leaders, and supply chain teams to access insights without building custom queries or waiting for reports. This shifts analytics closer to the business and reduces reporting bottlenecks that slow execution.
Built by the “AWS Rising Star Partner of the Year”
LakeStack is built by the team at Applify, a team that has spent more than a decade designing, deploying, and operating complex data platforms on AWS for enterprises across industries.
- 12+ years building production systems on AWS
- 100+ AWS certifications across the team
- 6 AWS Competencies and 9 AWS Service Validations
- 500+ SMBs served across the globe
Your AI roadmap can’t wait another year
