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AI & ML for Enterprise

Turn AI Into Better Business Decisions

2 %
$ 2 M
2 k+

Make Decisions that Protect Liquidity and Drive Growth

Demand & Time-Series Forecasting

  • Forecast granular demand across multiple horizons
  • Compare model outputs and business scenarios
  • Turn forecasts directly into planning decisions

Apply ML and statistical forecasting to granular time-series data while preserving the business context around each prediction. Internal history can be combined with external and operational drivers, and forecasts can be compared across horizons and scenarios. The important difference is what happens after the model runs: the forecast feeds the same governed planning workflow where constraints, trade-offs and ownership are explicit.

+10-12%

Forecast accuracy

Up to

65%

Less lost sales / unavailability

Predictive Maintenance Models

  • Use AI to detect failure patterns across asset signals
  • Connect predictions to maintenance decisions
  • Keep model output governed by business rules

Combine condition data, sensor histories and maintenance records to detect patterns that precede asset failure and estimate risk. Those predictions are not left as standalone model scores: they are combined with asset criticality, cost, production or service background and maintenance capacity to decide what to inspect, repair, replace or defer. The model, operational context and resulting action stay connected, making predictive maintenance explainable, governed and operational for the teams acting on it.

30-50%

Less machine downtime

10-40%

Lower maintenance costs

Churn & Propensity Modeling

  • Use AI to score churn and purchase propensity
  • Prioritise actions by expected value
  • Measure whether interventions change outcomes

Build churn and propensity models from behavioural, transactional, service and customer data and expose the drivers behind each score. The model output connects to customer value, intervention rules, and measurable commercial actions, so teams can decide who to target, with what treatment, and at what cost. Prediction is only the first step: Natzka keeps the recommendation, decision and outcome in the same governed context, allowing the business to learn which interventions genuinely change behaviour.

Up to

15%

Lower customer churn

+10-15%

More personalization revenue

Anomaly & Exception Detection

  • Use AI to detect unusual KPI and process behaviour
  • Separate meaningful exceptions from noise
  • Rank exceptions by expected business impact

An anomaly has value when the business knows what to do next. Natzka detects unusual behaviour across KPIs, transactions, assets and operational processes, then evaluates each signal in its commercial context. AI identifies the signal; the Decision Intelligence layer determines whether it matters, which rules and ownership apply and what action should follow. Exceptions can be prioritised by expected impact and routed into the appropriate workflow or decision playbook. The result is less alert noise and a clear path from abnormal event to accountable action and measurable outcome.

10-15pp

higher OTIF performance

20–30%

Higher planner productivity

Scenario Simulation & Optimization

  • Model alternative futures before acting
  • Optimise decisions within real constraints
  • Quantify trade-offs across competing KPIs
  • Keep assumptions and chosen actions traceable

Natzka combines simulation, optimisation and business rules to compare alternative decisions before execution. Define objectives, constraints and the KPIs that matter, then evaluate scenarios and quantify trade-offs across financial and operational outcomes. AI accelerates the search for relevant alternatives. Assumptions, constraints, approvals and the selected action remain explicit and traceable. Optimisation sits inside a governed decision process, alongside business objectives and constraints surrounding the mathematical result.

15–30%

Lower capital spending

10%

Portfolio NPV

Natural-Language Data Interaction

  • Detect signals and interpret business context
  • Recommend actions within governed boundaries
  • Route human approvals where judgement is required
  • Execute and measure outcomes automatically

Natzka brings AI directly into governed decision workflows, where agents operate with business context, rules and clear boundaries. Within a decision-ready context, AI can observe signals, interpret relevant business information, run scenarios and recommend the next action. Define where AI supports, where it accelerates and where routine execution may proceed automatically; approvals and higher-value judgement remain with people where required. Every action stays tied to the rules, context and outcome behind it, enabling trusted autonomy without turning decisions into a black box.

20–40%

Less manual workflow effort

25%+

of standard processes addressable

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 %