Network Management / Supply Chain Design

Different channels should not compete for stock under one averaged rule. Nadii manages e-commerce, retail, marketplaces, B2B, and strategic customers with separate logic for demand, service level, reservation rules, and operational priority. Each SKU can be analysed in the context of a specific channel and location, with its own forecast, service expectation, and reservation logic. This allows the system to protect stock where commitments are stricter, shift priorities when channel risk changes, and keep decisions aligned with how each channel really drives sales, margin, and workload.

Nadii continuously checks whether shortages in one location can be covered by excess stock elsewhere before suggesting new purchases. It compares transfer options across warehouses, stores, hubs, or channel-specific stock and recommends reallocation when it is faster, cheaper, or operationally safer than buying more. This is not a manual balancing exercise run from time to time. The system recalculates continuously as stock positions, demand, lead times, and channel priorities evolve, so the network uses what it already has more intelligently before locking more cash into new supply.

In a network, the cheapest local decision is often not the best network decision. Nadii evaluates each move — buy, transfer, reserve, delay, accelerate, or reallocate — against total cost: stockout risk, excess stock, transport, handling, working capital, channel penalties, service commitments, and operational constraints. This allows the system to choose the option that improves the overall business result, not just one local KPI. In practice, that means better service where it matters most, fewer unnecessary purchases, and lower hidden logistics costs without losing control of margin or availability.

Network replenishment should not be disconnected from the cost of execution. A decision that looks optimal from a stock perspective can create unnecessary transport, too many picking lines, peaks in distribution centres or inefficient delivery rhythms. Nadii includes these operational constraints directly in the decision: transport schemes, shipment frequency, picking and handling effort, warehouse capacity, campaign timing and expected workload at each node.

The system can therefore decide not only how much stock is needed in each location, but also how to move it through the network with the lowest total impact. It can compare whether it is better to send smaller quantities more often or consolidate shipments, whether a delivery should be advanced or delayed to avoid overloading a distribution centre, and whether a temporary service risk is acceptable compared with the operational cost avoided. This is especially important before marketing campaigns, seasonal peaks or known operational bottlenecks, where the timing of stock movement can be as important as the quantity itself.

In network replenishment, the difficulty is not only to see that an overstock, lost sale or higher operational cost appeared. The real challenge is to understand which movements and decisions created it. With several nodes, channels, transfers, reservations and campaign constraints, the root cause can be hidden several steps back: a product sent too early, stock kept at the distribution centre to protect e-commerce, a delayed transfer, a manual override, or a purchase made instead of balancing inventory already available in the network.

Nadii retraces the chain of decisions that led to the current stock level in a specific node: purchases, transfers, reservations, accelerations, delays, automatic decisions and user changes. It links these movements to their operational and financial impact — transport cost, picking effort, warehouse workload, availability, margin and cash tied in stock. Reporting therefore becomes actionable: users do not only see the deviation, they understand its cause and can improve the next decision.