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Operations & Supply Chain

Anticipate Constraints Before They Hit Performance

See demand, supply, inventory and capacity in the same decision context. Spot constraints earlier, protect service and margin, and release working capital without adding complexity.

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10-12 %

forecast accuracy

20 %

lower inventory levels

25 %

service levels

Use Cases & Decision Workflows

Make Decisions that Protect Liquidity and Drive Growth

Demand Forecasting and Planning

  • Detect demand shifts before inventory and capacity move
  • Compare scenarios before committing the demand plan
  • Align service, margin and inventory objectives

Market demand shifts rarely wait for the planning cycle. Natzka combines actuals, plans and historical demand with promotions, lead times, logistics constraints and product phase-in or phase-out cycles. AI detects changing patterns and improves the forecast. Planners compare scenarios, align assumptions and commit to one demand plan with explicit service-level, inventory, profitability and margin trade-offs. Commercial, Supply Chain and Finance work from the same numbers and resolve forecast differences inside one planning process.

+10–12%

Forecast accuracy

Up to

65%

Less lost sales / unavailability

Supply Planning & Constrained Planning

  • Model capacity, materials, lead times and constraints
  • Make cost, service and risk trade-offs visible
  • Replan quickly when constraints change

Model production capacity, RCCP, material and semi-finished availability, supplier lead times and constraints across the supply network to generate plans that can actually be executed. What-if analysis makes the cost, service, inventory and risk impact of each alternative visible before commitment. Planners can compare feasible options, understand where constraints bite and replan quickly when demand or supply changes. The chosen plan reflects operational reality, not theoretical capability.

5–10%

Supply-chain costs savings

10–20%

Better inventory levels

Inventory Optimization

  • Balance service levels against working capital
  • Model MOQ, lead-time and safety-stock changes
  • Quantify cash and availability before acting

Natzka recommends inventory targets by SKU and location based on demand variability, supplier reliability, replenishment constraints, and service-level objectives. Simulate changes to MOQs, lead times, safety stock and reorder policies, and quantify the impact on cash, availability and margin before acting. Dynamic policies can adapt as conditions change, reducing both stockouts and excess inventory. Inventory stops being a static buffer and becomes a decision lever for working capital, service and resilience.

20%

Better inventory levels

+25%

Service levels

Order Management & Fulfillment Logic

  • Prioritise orders using clear business rules
  • Balance service, margin and inventory constraints
  • Route exceptions to the right decision owner

Make order allocation and fulfilment logic explicit, transparent and auditable. AI recommends fulfilment options inside those business rules, while exceptions and overrides remain visible to the right decision owner. Simulate policy changes and immediately see the effect on service level, cost-to-serve and delivery performance before deployment. The result is faster fulfilment without turning customer commitments into a black box.

40%

Less orders in backlog

65%

Faster order fulfilment lead time

Production Scheduling & MRP

  • Synchronise materials, capacity and production demand
  • Sequence work around real operational constraints
  • Test schedule changes before releasing the plan

Connect material availability, finite capacity and sequencing rules to build schedules that respect actual machine, labour and tooling constraints. Planners can simulate rush orders, unplanned downtime or supplier delays and compare schedules on OTIF, cost, throughput and resource utilisation. AI and optimisation speed up comparisons of feasible alternatives, keeping trade-offs explicit. The best plan can be committed quickly and released to execution with fewer manual iterations.

+15%

Schedule acceleration

+10–15%

Productivity

Supply Chain Network Optimisation

  • Compare sourcing, stocking and distribution networks
  • Quantify cost, service and resilience trade-offs
  • Test new or consolidated distribution nodes
  • Place inventory where it creates the most value

Evaluate distribution flows, stocking locations, sourcing choices and inventory placement across the network to balance cost, resilience and service. Model alternatives such as consolidating or adding distribution centres, shifting sourcing lanes or rebalancing stock across nodes, then quantify the effect on lead times, transportation cost, risk and working capital. Strategic network decisions are grounded in scenario outcomes, present constraints and long-term economics, with the rationale preserved before major commitments are made.

5–10%

Supply-chain costs savings

10–20%

Better inventory levels

Integrated Business Planning

  • Align Demand, Supply, Finance and Commercial plans
  • Run one rolling plan across functions
  • Quantify revenue, margin and working-capital trade-offs
  • Turn consensus into owned, executable commitments

IBP breaks down when each function arrives with its own version of the plan. Natzka brings Demand, Supply, Inventory, Finance and Commercial teams into one synchronised planning cadence. Stakeholders work from one version of the numbers, compare scenarios across a rolling horizon and quantify trade-offs between revenue, margin, service levels and working capital. Decisions and accountabilities are made explicit, the consensus operating plan flows into the financial outlook, and every major commitment is validated before execution. IBP becomes a decision system, not another monthly meeting.

+1–2pp

EBIT

+5–20pp

Service levels

customer CASES

Intelligent Decisions,
Built to Deliver

Read All Customer Cases

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

Build on the architecture you already have. Natzka connects enterprise systems, data platforms and cloud services into a shared decision context, reducing integration friction while preserving existing investments and control.

See Why Enterprises Choose Natzka

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.

Ready to Change How Decisions Get Made?

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47 %

faster execution

33 %

higher forecast accuracy