Where the gaps appear between sales and stock
1
Min/max rules that are too static
Minimum stock levels don't account for seasonality, open orders or changes in pace.
2
Forecasts don't reach operations
The prediction lives in a report, but the buyer still has to rebuild the replenishment decision manually.
3
Capital tied up or sales lost
Ordering too early ties up cash; ordering too late causes a stock-out.
Designed for stock and replenishment decisions, not just forecasting
The forecast is only one of the signals used. The decision also has to account for stock, orders, lead time and operational rules.
- Analyzes demand history and recent demand pace
- Correlates the forecast with available stock and open orders
- Includes lead time, min/max thresholds and replenishment rules
- Highlights the risk of stock-outs, excess or stock imbalance
- Lets you treat products, categories and exceptions differently
- Prepares replenishment recommendations for review and action
Key features
Demand forecast
History, seasonality and trend, complemented with commercial forecast where available.
Stock-out risk
Tracks whether stock covers demand until the next replenishment.
Supplier lead time
Factors delivery time into the recommendation.
Open orders
Accounts for customer orders and POs in transit.
Capital tied up
Can flag overstock with financial impact.
Replenishment agent
Runs the analysis periodically and prepares the exceptions.
MODULE PREVIEW
Demand forecasting is only part of the decision
A forecast alone is not a purchasing decision. A useful recommendation can draw on historical sales, current stock, seasonality, open customer orders, supplier orders in progress, commercial forecast and lead time. AI Sales connects the prediction with the operational action.
- weekly / monthly forecast
- available stock projection
- shortage or overstock
- recommended quantity and approval
THIS IS A MODULE OF AI SALES 2.0 PLATFORM
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Simplified architecture
From data to controlled action
Your ERP and CRM remain the source of truth for operational values. AI Sales adds interpretation, rules, prioritization and workflow on top of existing systems.
Sales + stock + orders
Demand forecast
Stock projection
Shortage / overstock
Recommended quantity
Buyer approves
Benefits delivered by the platform
1
Stock becomes a forecast, not just a snapshot
History, seasonality and open orders help anticipate what you will need.
2
A stock shortage can trigger an action
The system can propose replenishment, a substitute or a transfer before the sale is lost.
3
Purchasing gets explainable priorities
The team sees what needs to be ordered, why, and which data produced the recommendation.
Comparison
Min/max rule, standalone forecast, or integrated decision?
The problem isn't always the absence of a forecast, but the fact that the forecast isn't connected to stock and the replenishment action.
| Capability | Min / Max | Standalone forecast | AI Sales Stock Intelligence |
|---|---|---|---|
| Future demand | No | Yes | Yes, connected to stock and orders |
| Lead time | Simplified | Can be separate | Part of the decision calculation |
| Open orders | Rarely | Not always | Can be included in the projection |
| Output | Threshold alert | Prediction | Risk + explanation + recommended action |
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ADDED IN AI SALES 2.0
You can run AI agents on top of your data!
The agent can continuously monitor stock and requirements and prepare the action before a stock-out becomes a problem.
- tracks stock, consumption rate and open orders;
- identifies the risk of shortage or overstock;
- proposes the replenishment quantity and timing;
- can prepare the notification or draft order for approval.
Other connected modules
Conversational Analytics & Business 36
Lets you ask direct questions about stock, turnover, seasonality and stock-outs.
See the module
Price Intelligence & Market Positioning
Links internal requirements to market prices, availability and movements.
See the module
AI Agents for ERP & CRM Data
Can turn the alert into a controlled action: a check, a notification or a purchase draft.
See the module
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The AI Sales 2.0 platform includes nine modules. Book a 30-minute presentation.
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Last updated: 6 November 2026
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