How SKUPilot works

Core planning decisions come from purpose-built engines—not improvised by AI.

Forecasts, safety stock, replenishment quantities, and purchase recommendations are calculated using defined business rules and operating constraints. The AI assistant helps you explore the result and understand why it was recommended.

Demand forecasting

Forecast demand by item and location, including sparse and variable products, then carry the result into inventory and purchasing decisions.

Examples include

Forecasts by item and location
Accuracy tracked against actual demand
Forecasts carried into inventory and purchasing decisions

Inventory analysis

See projected inventory, service risk, and safety-stock needs by item and location using consistent, repeatable methods.

Examples include

ABC/XYZ segmentation
Projected inventory and service risk
Safety stock by item and location

Purchase-order optimization

Recommend what to buy, when to order, and how much under the constraints that shape a real purchasing decision.

Examples include

Lead times, MOQs, and order multiples
Cash and service tradeoffs
Advisory recommendations only

The full operational picture

Every purchase decision is a tradeoff.

SKUPilot weighs demand, cash, inventory, supplier constraints, and service levels together so each recommendation reflects the full operational picture.

Demand outlook

Expected demand by item and location

Inventory position

On-hand, on-order, and projected availability

Purchasing constraints

MOQs, order multiples, and inbound timing

Purpose-built planning

SKUPilot Optimization Engine

Forecasting, inventory planning, and purchase-order optimization work together to balance demand, inventory, cash, supplier constraints, and service requirements—rather than optimizing one factor at a time.

Suppliers and lead times

Variability, reliability, and replenishment risk

Cash and carrying cost

Working capital and the cost of holding inventory

Service risk

Stockout exposure and customer commitments

One connected recommendation balancing cash, inventory, and service.

See how every answer was reached

Two types of answers. Both are transparent.

SKUPilot separates results produced by its purpose-built planning engines from AI-assisted analysis. In either case, you can inspect the underlying data, assumptions, and methods used to reach the answer.

Why does SKUPilot recommend ordering 1,200 units of MIX-12?

SKUPilot EngineView sources & methods

The purchasing engine projects 1,480 units of demand through the next replenishment window and a 220-unit safety-stock target. After 340 units on hand and 160 inbound, the remaining requirement is 1,200—already aligned to the supplier's 400-unit order multiple.

Purpose-built engine result

SKUPilot uses a defined method with consistent inputs and reviewed logic. This applies to forecasting, safety-stock calculations, inventory projections, purchase recommendations, and other repeatable analyses where consistency and traceability matter.

Check my email for the latest MIX-12 quote. Does it change the order plan?

AI-assisted analysisView sources & methods

No. Quote Q-482 has the same minimum and unit price, and the supplier can make the March 12 ship date. The plan remains: order 1,200 units this week.

AI-assisted analysis

The assistant investigates relevant ERP and email data to answer questions that require broader analysis. These responses are clearly identified as AI-assisted and include supporting sources for review.

Your team stays in control

Your ERP remains the system of record. SKUPilot does not place purchase orders or modify ERP records.

The product gets stronger over time

When Founding Partners repeatedly need the same analysis or workflow, we evaluate whether it should become a tested, repeatable SKUPilot capability.

Founding Partner program

See what SKUPilot would have recommended on your own history.

Selected companies begin with a 90-day historical engagement designed to demonstrate the opportunity before deciding whether to use SKUPilot with live data.

Explore the Founding Partner program →