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Automotive

Keep Complex Value Chains One Decision Ahead.

20-50 %
30-50 %
15 %

Make Decisions that Protect Liquidity and Drive Growth

Demand Forecasting and Planning

  • Forecast demand by model, market and programme
  • Capture mix, launch and phase-out effects
  • Translate model mix into component and capacity needs

Eliminate the gap between sales forecasts and shop-floor reality by modelling vehicle demand alongside real market variables like promotions and phase-outs. You can leverage AI to catch shifting demand trends early, converting projections directly into bills-of-materials requirements. By giving your finance, purchasing, and production teams a single version of the truth, you can stress-test program changes before they disrupt suppliers and lock in a demand plan that matches your network’s true capacity.

+10-12%

Forecast accuracy

Up to

65%

Less lost sales / unavailability

Supply Planning & Constrained Planning

  • Model component, supplier and plant constraints
  • Expose shortages across multi-stage production
  • Compare allocation and sourcing alternatives

Stop discovering production bottlenecks when it is already too late. By mapping vehicle demand straight against supplier lead times, plant capacity, and logistics networks, you can see exactly where your plans break before they hit the floor. You empower your planning team to simulate different inventory and allocation workarounds, comparing the financial and delivery risks of each choice. This end-to-end visibility across all stages means you keep your lines moving smoothly and hit your delivery targets calmly, without relying on stressful corporate escalations.

5-10%

Supply-chain costs savings

10-20%

Better inventory levels

Production Scheduling & MRP

  • Synchronise BOM demand with finite capacity
  • Sequence models around line and material constraints
  • Reduce disruption from shortages and changeovers

Convert your program demand and BOM requirements straight into actionable schedules built on actual floor limits. By modelling parts availability, line capacity, changeovers, and labour constraints together, you can adapt instantly with AI-driven optimisation when shortages or mix changes occur. You can evaluate alternative sequences based on throughput, cost, and delivery metrics upfront, allowing your team to safeguard the master build plan without triggering chaotic ripple effects across the supply network.

+15%

Schedule acceleration

+10-15%

Productivity

Predictive Maintenance

  • Predict failures on production-critical assets
  • Connect asset risk to line and programme impact
  • Prioritise maintenance by cost and downtime risk

Predict equipment failures before they halt your lines by linking telemetry data and asset history straight to your overall production context. You can leverage predictive AI to spot degradation patterns, while evaluating the exact cost, parts availability, and downtime impact of any fix upfront. This allows you to align maintenance work with scheduled production windows, shifting your team from stressful breakdown responses to precision, condition-based care that never wastes resources.

30-50%

Less machine downtime

10-40%

Maintenance costs savings

Multi-Tier Supplier Risk & Visibility

  • Map exposure beyond tier-one suppliers
  • Combine capacity, financial and disruption signals
  • Identify components with concentrated risk
  • Simulate alternative sourcing and allocation actions

Tier-one visibility rarely tells the whole supply-risk story. Map critical components deeper into the supplier network and combine dependency, capacity, financial, geographic and disruption signals. AI connects weak signals and reveals concentrated exposure that traditional supplier scorecards often miss. Simulate alternate sourcing, allocation or inventory responses before a disruption reaches the line. Supplier visibility becomes actionable: see which programme is exposed, what sits behind the risk and which decision can reduce that exposure.

20-50%

Less key supplier risk exposure

90%

Faster supplier discovery time

Spare Parts & Aftersales Planning

  • Forecast demand across the installed vehicle base
  • Balance availability against slow-moving stock
  • Optimise stocking across service locations

Take the guesswork out of aftersales logistics by anchoring your spare-parts strategy to the actual vehicles on the road, their lifecycle stages, and historical breakdown patterns. You no longer have to worry about unpredictable demand spikes; specialised AI isolates irregular patterns so you can distribute inventory intelligently. By testing policy changes across your entire warehouse network, you can confidently balance rapid customer service against the risk of dead stock, ensuring your capital is only tied up where it matters most.

20%

Better inventory levels

+25%

Service levels

Dealer Network & Sales Performance

  • Prioritise actions by dealer and territory
  • Separate local market effects from dealer execution
  • Compare dealer performance on consistent drivers

Combine your dealer sales, pipeline, inventory, and incentive data into a single, comprehensive market view. You can isolate external market factors from actual dealer performance, making it easy to compare territories and uncover hidden revenue opportunities. By tracking performance through unified drivers, your leadership team can instantly distinguish market conditions from dealer execution, allowing you to target investments where they will drive the highest sales and margin.

+10-15%

Revenue from personalization

+10-30%

Marketing-spend efficiency

Warranty & Quality Analytics

  • Use AI to detect recurring quality patterns
  • Prioritise root-cause investigations by impact
  • Track corrective actions through to outcome

Warranty data becomes valuable when quality teams can see the pattern early enough to act. Link claims, defects, production lots, suppliers, parts and vehicle configurations to expose recurring quality patterns and their business impact. AI detects correlations and emerging clusters earlier, while Quality teams can prioritise investigations using frequency, customer impact, cost and safety relevance. Corrective actions remain tied to the underlying evidence and can be tracked through to outcome. Warranty data becomes a decision system for prevention, not only a historical record of what failed.

+10-15%

Project productivity

4-6%

Project costs savings

customer CASES

Intelligent Decisions,
Built to Deliver

Hyphen turns content production into smarter commercial decisions

Content production was already streamlined, but cost, performance and commercial impact still lived in separate views, making it difficult to know where each production investment created value.

What Natzka implemented

Natzka brings production costs, product priorities and sales performance into one decision context, helping teams prioritise content, reuse existing assets and direct investment where it can perform best.

Read Customer Case
$ 3 M

estimated production cost savings per 1M images produced

10-20 %

estimated increase in digital sales performance per client

Turn component lifing into a decision made before race day

Thousands of high-value components move across cars, sessions and races. Manual lifecycle tracking made preparation slower and made it harder to know exactly when each part should be replaced.

What Natzka implemented

Natzka combines component history, mileage and race data in a live decision model, anticipating replacement needs, preparing logistics earlier and automating post-race lifing analysis.Lifting Proactive Monitoring

Read Customer Case
80 %

faster race logistics preparation time

80 %

faster post-race reporting time

Keep customer commitments on track as constraints change

Sales, inventory and production decisions spanned multiple operating companies, making shortages and capacity constraints harder to see before they affected delivery.

What Natzka implemented

Natzka brings demand, stock, production and purchasing into one decision flow, surfacing constraints earlier and helping teams prioritise the actions that protect delivery and working capital.

Read Customer Case
60 %

less time required for operational analysis

16 %

savings in emergency purchases, expedites and production interventions

Integrations

Works Perfectly with Your Existing Stack

FAQs

Frequently
Asked Questions

Yes. Natzka allows for industry-specific model tuning, ensuring AI insights align with your business needs and deliver tangible results.

No. Unlike traditional platforms, it eliminates SQL, JOINs, and indexes, making it easy for teams to organize and access data without technical barriers.

Yes, as long as data can be exported, the platform seamlessly integrates with ERP systems as well as other tools, ensuring consistency and efficiency across all processes.

Implementation timelines depend on project complexity, but our focus is to simplify the implementation logic and speed up the average time required by other tools on the market. Timing is critical and Natzka is designed for smooth and efficient integration, minimizing disruption. For more precise information you can contact us.

It consolidates tools into one seamless system, simplifies workflows, and provides predictive insights, enabling businesses like yours to scale smarter and act with confidence in an ever-changing environment. Do more with less, by reducing redundancies and cutting costs.

By providing a clear and unified view of the business, Natzka enables faster, data-backed decisions. It translates complex data into actionable insights, aligning with your strategic priorities.

47 %
33 %