Production

Bottlenecks occur when orders and deliveries pile up at the same reception and dispatch times, and sudden shifts in demand tear up the schedule. Nadii combines two horizons: in the short term it uses DDMRP principles (decoupling buffers, pull flow control), and in the long lead times it uses probabilistic forecasts of demand and supply. The system also takes into account real limitations: line and shift capacity, refitting times, human availability and loading slots. This allows it to shape flows in advance: order orders to reduce retooling, merge batches into full logistics units, and move production or shipping to earlier/later windows to balance the load — without loss of availability and without overtime. The result is fewer peaks and downtimes, better transport filling and compliance standards.

What you gain:

• stable load on line and warehouse,
  
• shorter manufacturing cycles,
• lower cost of transport,
• no unscheduled deliveries.

One missing piece can stop the whole series. Nadii models the supply risk for each component (delivery time schedules, service levels), detects the threat of shortage early and warns, and then dynamically adjusts the production plan, taking into account the criticality of the batch to the customer and the current availability of materials. The system keeps an eye on the “last day of the order”, indicates replacements and alternative suppliers, and also calculates when it pays to secure the buffer and when to act “fresh”.

Module Smart Buying compares thresholds and discounts with real demand and the cost of capital and freight, so you buy under the result and not “under the conditions”. Orders are automatically consolidated into full logistics units; in one order, Nadia will handle different currencies and tariffs — so that materials are on time and the line is not stagnant.

What you gain:

• less line downtime,
  
• cheaper component “per piece”,
• Shorter absence times,
• Predictable cash flow.

Not every SKU deserves a stock “after the cork”. Nadii assigns the right policy for each product and channel: fast-rotating — make-to-stock with dynamic buffers; variable/niche — make-to-order; hybrids — e.g. stock clearance, and ready-to-order. Then comes the make or buy decision: manufacture in-house or outsource?
Nadii calculates this cost-probabilistically: she compares demand and risk distributions, the impact of bottlenecks, the cost of lost margin, the cost of excess (capital, space, energy), line occupancy and retooling, team availability, deadlines and quality of subcontractors, and transportation. Policies adapt automatically: when uncertainty increases or delivery times increase, the buffer increases; when demand weakens — the system extinguishes purchases and production; when the subcontractor becomes more advantageous — it recommends “buy” instead of “make” (and vice versa), with full justification and in advance.
In S&OP, the system signals an excess or shortage of capacity in advance so that resources can be adjusted in advance.

What you gain:

• higher availability where he really earns,
• lower total stock where it does not need to grow,
  
• make or buy decisions based on data (cost, risk, deadline, burden)
• Less downtime and better use of resources.

The start of novelties, seasonal seasons or price changes can turn the schedule upside down. Nadii learns the influence of market factors (promotions, product positioning, cost of delivery, microtrends) and spins the production plan with real availability and capacity. When the risk of shortages increases, the system adjusts the pace of the campaign or suggests early replenishments; when demand weakens — optimizes lot size, combines variants and protects margin.
As part of S&OP, Nadia signals an excess or shortage of power in advance to adjust resources.

‍Effekt: campaigns do not “overheat” operations, and availability and service remain stable.

What you gain:

• strong starts without lags,
• less sales after the season,
• marketing in sync with real availability.

The planning, production, purchasing, logistics and finance teams work on a common, easy-to-read dashboard with the genesis of the result: you can see forecast and deviations, purchasing decisions (e.g. purchases at a discount), supplier service level, capacity limits and CFO limits (budget, inventory, cash). Each recommendation — order, order, allocation, priority of execution — has a cost justification and a full audit trail. Data and decisions can be automatically published to BI/Data Lake, and views are tailored to roles: from a “macro” perspective for management to a specific to-do list “for today” for operations.
Plan changes are automatically transmitted to the hall; progress, material availability, and inventory status are updated on an ongoing basis. This allows the team to react quickly to unforeseen situations (delivery delay, failure, surge in demand) by choosing the cheapest adaptation option — so as to maintain availability and result without “overheating” the operation.

What you gain:

• a single source of data,
• faster decisions without unnecessary Excel files,
• Predictable impact on P&L and cash flow.