Order Optimization
Generate forward-looking, data-driven order recommendations that reduce profit losses and improve inventory efficiency — all by leveraging your already integrated pricing and marketing data, with no additional data integration required.
- Sales Forecasting: Analyzes historical data — including out-of-stock periods, seasonal trends, and long-term patterns — to generate a reliable sales forecast.
- Customizable Rule-Engine: Impact factors and rules are fully customizable, allowing the logic to adapt to your business needs.
- Account for Future Pricing Strategies: Considers upcoming changes to your pricing strategies to optimize order volumes ahead of time.
- Data-Driven Recommendations: Outputs accurate, product-level order quantity suggestions for a pre-defined time frame.
Output
All order quantity recommendations are transparent and explainable, giving you full confidence in every ordering decision on product level:

The Order Quantity recommendation is built on a robust demand forecast that factors in:
- Historical sales patterns
- Anticipated pricing changes
- Adjustments for out-of-stock periods
- Broader sales trends
From this demand forecast, we
- Deduct current stock and incoming deliveries
- Add expected sales until the optimization start date
The result is a granular, product-level order quantity that aligns seamlessly with your inventory processes and supports channel-specific planning.
Exploit Synergies between Ordering and Pricing
For maximum impact, combine Order Optimization with Stock-Based Pricing. This powerful synergy helps you minimize out-of-stock and overstock situations while maximizing your target KPIs — whether you're focused on revenue, profit, or turnover.