Order proposal created
1,200 pcs · Supplier AeroCore
Target stock reached
Quantity aligned with forecast, inventory, open POs and reservations
AI Purchasing Software for Automated Order Proposals
Automate order proposals. Control inventory intelligently.
numi combines inventory, open purchase orders, customer orders, reserved stock, AI forecasts and lead-time predictions to generate precise replenishment and purchase order recommendations.
AI replenishment cockpit
Forecast, inventory and lead time
| Item | Inventory | Forecast | Open POs | Reserved | Lead time | Proposal | Status |
|---|---|---|---|---|---|---|---|
| A-482 Rotor Kit | 420 | 1,520 | 300 | 210 | 28 d | 1,200 pcs | Review PO |
| B-117 Filter Set | 96 | 640 | 0 | 80 | 34 d | 720 pcs | Stockout risk |
| C-204 Service Pack | 1,180 | 320 | 500 | 120 | 21 d | 0 pcs | Avoid excess stock |
Inventory development and replenishment
current inventoryforecasted demandopen POsproposed replenishment
safety and target stock
MayJunJulAugSepOct
Lead time prediction
28 days expected
+4 days vs. standard
Order unit optimized
rounded to full pallet
Forecast + inventory + lead time → optimized order proposal → PO ready to review
BENEFITS
Purchasing with measurable results
numi turns forecasts, inventory, open purchase orders and lead-time predictions into concrete order proposals for cost-efficient replenishment decisions.
-10–20%
Fewer stockouts
Order proposals consider forecasts, open customer orders, reserved stock and supplier lead times.
-20–30%
Less excess inventory
Slow movers and non-movers are not replenished unnecessarily when optimal stock is already reached.
-60%
Less manual planning effort
Replenishment proposals are calculated, prioritized and prepared for purchasing automatically.
100%
Transparent order logic
Every recommendation shows inventory, forecast, lead time, open POs, customer orders and target stock.
Actual results depend on assortment, demand volatility, lead times, inventory data quality and process maturity.
Purchasing software in practice
See how numi turns inventory, forecasts and purchasing logic into operational replenishment decisions.
WORKFLOW
From forecast to optimal order proposal
numi connects demand forecasts, inventory position, open documents and purchasing logic into one continuous replenishment workflow.
0101 / Workflow
Define purchasing strategy
Configure replenishment logic for assortments, suppliers and cost structures
Define inventory targets:
Set target stock, safety stock, service levels and coverage ranges by segment.
Segment items:
Distinguish fast movers, slow movers, non-movers, spare parts and critical items.
Configure order logic:
Consider minimum order quantities, packaging units, pallets, truckload logic and supplier rules.
Control strategies flexibly:
Use different rules for ecommerce, spare parts, materials or locations.
0202 / Workflow
Calculate demand and availability
Combine inventory, open POs, customer orders and forecasts
Understand inventory position:
numi considers on-hand inventory, reserved stock, open customer orders and open purchase orders.
Integrate AI forecasts:
Demand forecasts flow directly into replenishment planning.
Predict lead times:
Expected supplier lead times are considered based on historical and operational data.
Calculate net requirements:
numi calculates when and how much should be reordered.
0303 / Workflow
Optimize order proposals
Automatically balance cost, availability and order units
Optimal order quantity:
Recommendations are based on optimal inventory, forecasts, lead times and cost logic.
Avoid excess stock:
Non-movers and very slow-moving items are not replenished unnecessarily.
Consider order units:
Quantities can be optimized for packaging units, pallets, containers or full truckloads.
Prioritize recommendations:
Critical items, stockout risks and high inventory values are clearly prioritized.
0404 / Workflow
Review and place orders
Validate, adjust or automate purchasing recommendations
Understand the decision:
Every proposal shows the underlying drivers such as forecast, inventory, open POs and lead time.
Review purchasing proposals:
Planners can adjust quantities, dates, suppliers and order units.
Prepare PO creation:
Accepted recommendations can be transferred into ERP or purchasing workflows.
Scale automation:
Recurring, low-risk orders can be automated more strongly.
From manual reordering to intelligent order proposals
numi replaces manual checks with explainable purchasing logic that evaluates forecasts, inventory, open documents and ordering rules together.
Replenishment planning and purchasing
Before numiOrder proposals are prepared manually in spreadsheets
With numinumi calculates order proposals automatically from forecast, inventory and lead time
Before numiForecasts and lead times are not directly part of the purchasing decision
With numiOpen POs, customer orders and reservations are included directly
Before numiOpen POs, customer orders and reservations must be checked manually
With numiNon-movers and slow movers are protected from excess stock
Before numiSlow movers are reordered despite low demand
With numiOrder quantities are optimized for UOM, pallets or truckloads
Before numiPackaging units and truckload constraints are considered too late
With numiEvery recommendation is explainable and reviewable
Before numiPurchasing decisions are made without full inventory transparency
With numiAccepted proposals can be transferred into ERP workflows
The numi Decision Engine calculates optimal order proposals
numi combines forecasts, lead-time predictions, inventory, open purchase orders, customer orders and ordering rules to generate precise replenishment recommendations.
AI forecasts
Lead-time predictions
Inventory
Reserved stock
Open POs
Open customer orders
Safety stock
Ordering rules
Units of measure
Supplier information
Replenishment Engine
Order proposal calculated
Order proposal
Optimal order quantity
Planned delivery date
Stockout risk
Excess stock risk
UOM optimization
Supplier recommendation
Prioritized purchasing list
ERP handoff
From net requirements and reorder points to inventory optimization, UOM logic and ERP handoff.
Customer story
+19%
better inventory turnover in 12 months
AI procurement and inventory optimization in practice
Daily order suggestions, AI forecasts and truckload optimization connect purchasing and replenishment planning in one operational workflow.
Read how Karl Pichler AG digitizes purchasing planning, forecasting, inventory optimization and automated order proposals with numi.
USE CASES
Typical use cases for purchasing software
numi supports teams that want to calculate order proposals from data and prepare purchasing decisions with availability and cost in mind.
Retail, Wholesale & BrandsTurn inventory, forecasts and open orders into precise replenishment proposals.Learn moreManufacturing & machineryConnect material demand, lead times and order proposals for operational purchasing.Learn moreAftermarket & spare partsReplenish slow movers, critical spare parts and irregular demand more precisely.Learn more
FAQ – Purchasing Software
What is purchasing software for replenishment planning?
Purchasing software for replenishment planning helps purchasing and planning teams calculate order proposals based on inventory, forecasts, open purchase orders, customer orders and lead times. numi adds AI forecasts, lead-time predictions and optimal inventory targets to this logic.
How does numi create order proposals?
numi considers current inventory, reserved stock, open customer orders, open POs, demand forecasts, supplier lead times, safety stock and ordering rules. This creates concrete recommendations for order quantity, timing and priority.
Can stockouts and excess inventory be reduced at the same time?
Yes. numi calculates order proposals based on optimal inventory targets. Critical items are replenished in time, while non-movers and slow-moving items are not restocked unnecessarily.
Does numi support AI forecasts and lead-time predictions?
Yes. numi can include its own AI forecasts and lead-time predictions directly in purchase recommendations. This aligns replenishment more closely with expected demand and realistic supplier lead times.
Can units of measure such as pallets or truckloads be considered?
Yes. Order proposals can consider minimum order quantities, packaging units, pallets, containers or truckload constraints. This allows operational purchasing rules to be reflected directly in the recommendation logic.
Which companies is the purchasing software suited for?
The solution is especially useful for ecommerce, aftermarket, spare parts and companies that need more precise replenishment recommendations. Larger enterprises often use SAP or Infor for MRP runs, while numi adds value where AI forecasts, lead-time predictions and flexible purchasing logic need to be combined.
Can planners review and adjust recommendations?
Yes. Users can review order proposals, adjust quantities or dates, consider supplier information and accept or reject recommendations. The decision remains explainable.
How are accepted recommendations implemented operationally?
Accepted recommendations can be transferred into ERP, purchasing or other operational processes. Depending on the setup, numi can act as a decision system, recommendation engine or automated replenishment workflow.
Ready to make order proposals smarter?
Let us show you how numi turns forecasts, inventory, lead times and open documents into precise purchasing and replenishment recommendations.