Operations & Supply Chain

Decisions for Operations
& Supply Chain

  • Natzka combines actuals, plans and historical signals with current drivers (promotions, lead times, logistic constraints and product phase-in/phase-out cycles) to compare scenarios, align stakeholders, and commit to decisions with clear service-level objectives , profitability and margin trade off.

  • Natzka models production capacity, RCCP, materials and semi-finished product procurement, lead times, and constraints across your supply network to generate feasible plans. What-if analysis reveals the cost, service, and risk impact of every alternative—enabling confident commitment with full visibility on trade-offs.

  • Natzka recommends inventory targets by SKU and location, factoring in demand variability, supplier reliability, and replenishment constraints. Simulate policy changes (MOQ adjustments, lead time variations, service-levels thresholds) and quantify the operational and financial impact before acting. Dynamic reorder points and safety stock calculations adapt continuously as conditions shift, reducing both stockouts and excess inventory while freeing up cash tied in the supply chain.

  • Natzka orchestrates order rules (priority sequencing, orders splits, ship-from logics and operational constraints) making every decision transparent and fully auditable. Simulate changes to fulfilment policies and instantly measure the effects on service levels, cost-to-serve, and delivery performance before deployment.

  • Natzka models materials stock, capacity, and sequencing rules to support scheduling choices that minimise changeovers, delays, and shortages. Finite capacity scheduling ensures plans respect actual machine availability, labour shifts, and tooling constraints, not just theoretical output. Run “what-if” scenarios (rush orders, unplanned downtime, supplier delays) and evaluate trade-offs between on-time delivery, production costs, and resource utilisation. Then commit to the best plan fast.

  • Natzka evaluates distribution flows, stocking locations, and inventory placement to balance cost, resilience, and service levels. Model network alternatives (consolidating or adding distribution centers, shifting sourcing strategies, rebalancing stock across nodes) and quantify the impact on lead times, transportation costs, and risk exposure. Strategic decisions are grounded in scenario-based outcomes, not static assumptions or legacy footprints.

  • Natzka breaks down functional silos by bringing together Demand, Supply, Inventory, Finance, and Commercial teams into one synchronized planning cadence. Rather than reconciling disconnected spreadsheets and competing assumptions, all stakeholders work from a single version of the numbers, aligning operational plans with strategic objectives and financial targets. Compare scenarios across a rolling 24+ month horizon, quantify trade-offs between revenue, margin, service levels, and working capital, and resolve conflicts transparently in structured review cycles. The outcome: one consensus-driven operating plan that cascades into an integrated P&L forecast, where every commitment is financially validated before execution. Decisions are locked, accountabilities are clear, and the entire organization executes against the same targets. 

How We Work for You

Step 1

Align on the decision
and the outcome

We start with one focused session to define the decision you want to improve, who is involved, and what “success” means. You bring the decision owner and key stakeholders; we guide the conversation and turn it into a clear scope, KPIs, and first use case.

Step 2

Validate with your
real data

Next, we work with you to identify the minimum data needed and build a first working version. You provide access and context; we turn it into clear outputs you can review early, so assumptions are explicit and results are trusted.

Step 3

Launch fast, then scale

We go live with the first use case and measure impact. You stay in control of the decision; we help you move from collaboration to smart recommendations, to automation where it’s safe. Once the value is proven, we expand to the next decision using the same foundation.

Decide with confidence

From data to actions. Turn complexity into decision flows.