E-commerce

E-commerce demand can move much faster than traditional retail. Price and delivery-cost changes, product position in search results, marketing campaigns and creator activity, customer reviews and marketplace algorithms can all change the sales signal. At the same time, supplier delays and temporary warehouse shortages introduce volatility from the supply side. For commercial teams, the result is a noisy signal that is difficult to interpret and even harder to turn into the right next decision.

The advantage is that e-commerce is highly digital. Traffic, click-through rates, conversion, baskets, search position and campaign calendars are available almost immediately. The challenge is interpreting them correctly.

That is what Nadii does. Dedicated e-commerce models — developed by ML specialists who hold Kaggle Grandmaster titles — learn how individual drivers affect sales for each product and channel.

Forecasts are probabilistic: instead of returning one number, Nadii models a distribution of possible demand. The system then chooses decisions that minimize expected total cost across lost-sales risk, excess inventory, transport and marketplace commissions, translating uncertainty into concrete inventory levels, allocations and ordering cadence.

When information is incomplete or uncertainty rises, Nadii can become more conservative for strategic items while tolerating greater variability for products with good substitutes. As the season ends, it can taper purchasing and recommend targeted sell-through actions or kits to reduce the need for markdowns. Recalculation frequency is adapted to the business — daily, several times per day or less often — so the system reacts to small changes without overloading operations.

What you gain:

• higher product availability with lower total inventory, even on highly volatile days,
• fewer end-of-season markdowns through earlier and more precise decisions,
• fast, automatic response to price, demand and supply changes in every channel,
• one consistent approach from forecasting through purchasing and allocation, with the decision rationale visible directly in Nadii.

In e-commerce, the long tail includes hundreds of variants that sell infrequently — niche sizes, colors or configurations — but that customers still search for and that may be the reason they discover your store in the first place. Your own shop and marketplaces may also require minimum exposure or availability: sometimes a single unit is enough to keep a listing visible and prevent a product page from showing unavailable variants.

A catalog that is too wide ties up cash; one that is too narrow cuts sales and can reduce visibility in store search or marketplace rankings. Nadii forecasts demand for each product, channel and variant. From that, it defines economically justified exposure minima: enough to protect visibility and sales without creating unnecessary excess.

Nadii indicates which items should remain continuously available, which should be carried only seasonally, and which should move to order-on-demand or be phased out. It proposes specific replenishment quantities and schedules and prevents presentation minima from quietly inflating total inventory. Slow-moving units can be combined into kits, inventory can be moved between channels or locations, and must-have variants can be prioritized while investment is reduced in items that do not contribute enough to the result.

What you gain:

• less working capital tied up in inventory and fewer markdowns,
• the right breadth of assortment in each channel,
• faster rotation of long-tail variants,
• stronger margin through deliberate assortment choices and controlled exposure minima.

Long-lead-time sourcing — for example products imported from Asia — is a chain of decisions stretching over weeks or months: production, negotiations around price breaks and minimum order quantities, ocean or rail capacity reservations, customs clearance and campaign deadlines on the commercial side. Private-label sourcing often adds its own specific ordering process.

Every mistake has a cost: unused container space, emergency air or express shipments, or a delayed launch. Nadii manages the process from forecast to freight and updates it continuously. Each new day of sales can change the required quantities, and the system refreshes recommendations immediately when prices, MOQs or delivery dates change. Order proposals can remain safely on hold while commercial negotiations are in progress, with a transparent before/after comparison each time the proposal changes.

In parallel, Nadii plans replenishment against the real expected lead time and its risks — sailing schedules, holidays, port congestion and customs clearance — and consolidates loads across products and suppliers to fill containers or build efficient pallet shipments. The plan is synchronized with sales and warehouse capacity so stock arrives at the right time without creating operational peaks, based on lowest total cost rather than simply the lowest purchase price.

What you gain:

• lower transport cost per unit and fewer emergency shipments,
• lower risk of stockouts during transit and more reliable delivery expectations,
• faster and simpler order approvals through clear scenarios and cost rationale,
• purchasing and delivery schedules aligned with seasons and campaigns without overloading operations.

On marketplaces such as Allegro or Amazon, visibility and sales depend on two basic conditions: the product must be available and the order must ship on time. Stockouts or late fulfillment can damage ranking, which means money invested in promoting the listing is wasted.

Nadii helps prevent this by forecasting demand and delivery timing in every channel, reserving stock for key offers and connecting advertising activity with actual availability. When shortage risk rises, it can recommend pausing or reducing the advertising budget, accelerating replenishment and selecting the most appropriate fulfillment route — your own warehouse, a 3PL or platform fulfillment such as Fulfilled by Amazon. The goal is to protect listing visibility, including the Buy Box, while keeping shipments within required SLA without creating operational peaks.

What you gain:

• more stable ranking and Buy Box performance,
• fewer cancellations and penalties,
• better return on advertising spend,
• more predictable delivery times.

In e-commerce, sales, performance marketing, marketplace teams, purchasing and logistics often optimize different KPIs: return on ad spend versus SKU availability, ranking and Buy Box versus fulfillment time, or margin after commission versus delivery cost.

The consequences show up quickly. A campaign drives traffic to a product that is unavailable. A listing loses visibility because dispatch is late. A warehouse becomes overloaded because a promotion starts at the same time as a major inbound delivery. Nadii provides a shared multi-user dashboard that explains the drivers from click to parcel: forecast error, poorly set exposure minima, supplier delay, limited packing or carrier capacity, marketplace SLA rules, or inventory reservations by channel.

Every recommendation — inventory allocation or relocation, purchase order, campaign-budget adjustment, change in promotion pace, fulfillment priority or choice of fulfillment route — has a financial rationale: lost margin, excess-inventory cost, transport cost, advertising cost, ranking or Buy Box impact and cash. Decisions are documented, so it is clear who changed what and why.

Data and decisions can flow automatically to BI, a Data Lake, advertising platforms and marketplace systems. Roles and permissions ensure that management sees the macro picture while operational teams receive concrete actions and only the alerts where intervention adds value.

What you gain:

• One source of truth from marketing to fulfillment instead of parallel versions of the same KPIs.
• Campaigns aligned with availability so you do not keep paying for traffic to products that cannot be fulfilled.
• Faster, more consistent decisions on allocation, pricing and fulfillment across channels.
• More predictable P&L impact because margin after commissions, advertising cost and logistics cost sit in the same decision logic.
• Better ranking and fewer penalties through stronger SLA control and fulfillment quality.
• Compliance and control through complete change tracking and automated reporting for C-level, managers and operations.