Production

Bottlenecks appear when orders and deliveries pile up in the same receiving and dispatch windows, while sudden changes in demand disrupt the schedule. Nadii combines two planning horizons: in the short term it uses DDMRP principles such as decoupling buffers and pull-based flow control; for longer lead times it uses probabilistic demand and supply forecasts. The system also reflects real constraints: line and shift capacity, changeover times, labor availability and loading slots.

This allows Nadii to shape flows in advance: sequence production orders to reduce changeovers, consolidate batches into full logistics units, and move production or dispatch to earlier or later windows to balance the workload — without sacrificing availability or relying on overtime. The result is fewer peaks and stoppages, better transport utilization and more reliable fulfillment.

What you gain:

• more stable line and warehouse workloads,
• shorter production cycles,
• lower transport costs,
• fewer unplanned or emergency shipments.

One missing component can stop an entire production run. Nadii models supply risk for each component using lead-time distributions and supplier service levels, identifies shortage risk early and warns the team, then dynamically adjusts the production plan according to the criticality of each order for the customer and current material availability. The system tracks the last safe order date, identifies substitutes and alternative suppliers, and calculates when it is worth building a buffer versus buying closer to actual need.

The Smart Buying module compares price breaks and discounts with real demand, the cost of capital and freight. This means purchases are optimized for the business outcome, not simply for supplier terms. Orders are automatically consolidated into full logistics units, and Nadii can handle multiple currencies and tariffs within the same order — helping ensure materials arrive on time and production keeps moving.

What you gain:

• less line downtime,
• lower component cost per unit,
• fewer and shorter material shortages,
• more predictable cash flow.

Not every SKU should be stocked to the same depth. Nadii assigns the right policy to each product and channel: fast movers can run make-to-stock with dynamic buffers; volatile or niche items can be make-to-order; and hybrid models can keep bulk product in stock while final packaging or configuration is completed to order. Then comes the make-or-buy decision: produce internally or outsource?

Nadii evaluates this through cost-probabilistic logic. It compares demand and risk distributions, bottleneck impact, lost-margin risk, excess-inventory costs (capital, space and energy), line utilization and changeovers, team availability, subcontractor lead times and quality, and transport costs. Policies adapt automatically: when uncertainty or lead times increase, buffers can rise; when demand weakens, purchasing and production taper off; when outsourcing becomes more attractive, the system recommends “buy” instead of “make” — and vice versa — with a clear rationale and enough notice to act.

Within S&OP, the system also signals future excess or shortage of capacity so resources can be adjusted before the problem reaches the shop floor.

What you gain:

• higher availability where it creates real business value,
• lower total inventory where additional stock is not justified,
• make-or-buy decisions based on cost, risk, lead time and capacity,
• less downtime and better use of resources.

New product launches, seasonal ranges and price changes can quickly overturn a production schedule. Nadii learns the impact of market drivers — promotions, product positioning, delivery costs and micro-trends — and aligns the production plan with actual availability and capacity. When shortage risk rises, the system can recommend changing the pace of a campaign or bringing replenishment forward; when demand weakens, it optimizes lot sizes, consolidates variants and protects margin.

As part of S&OP, Nadii also signals future excess or shortage of capacity so resources can be adjusted in advance. The result: campaigns do not overload operations, while availability and service remain stable.

What you gain:

• strong product launches without avoidable delays,
• fewer post-season markdowns,
• marketing plans synchronized with real availability.

Planning, production, purchasing, logistics and finance work from a shared dashboard that explains the drivers behind the result: forecasts and deviations, purchasing decisions such as buying into a discount, supplier service levels, capacity constraints and CFO limits on budget, inventory and cash. Every recommendation — production order, purchase order, allocation or fulfillment priority — comes with a cost rationale and a complete audit trail. Data and decisions can be automatically sent to BI or a Data Lake, while views are tailored by role: from a macro perspective for management to a concrete “today” action list for operations.

Plan changes can be passed directly to the shop floor, while progress, material availability and inventory are updated continuously. This lets teams react quickly to unexpected events — a late delivery, equipment failure or demand spike — by choosing the lowest-cost adaptation that protects availability and business performance without destabilizing operations.

What you gain:

• a single source of truth,
• faster decisions without parallel Excel files,
• a predictable view of the impact on P&L and cash flow.