ORDER
OPTIMIZATION

PRECISION IS THE NEW STANDARD

Conventional Planning

Standard tools rely primarily on historical data.

While they provide a solid baseline, they cannot automatically adapt to dynamic variables like sudden weather changes or local events.

Next-Level Forecasting

agAIn is an ecosystem that analyzes historical data, weather conditions, seasonality, and local events to calculate the optimal order quantity.

We don’t just provide recommendations — we automate decision-making while leaving you in full control of the strategy.

SERVICE GRID

Demand Forecasting

Our AI algorithms continuously analyze historical sales, weather patterns, and local events to calculate the exact future demand for every single SKU. This ensures your inventory levels remain perfectly balanced at all times.

→ Discover more

Smart Order Replenishment

Forget manual Excel spreadsheets. agAIn automatically generates supplier order queues based on current stock levels and forecasts.

Your team simply reviews and clicks “Confirm.”

→ How it works

What-if Scenarios

Model the future without risk.
Want to change pricing or launch a promotion? Our system simulates the impact of these decisions on sales and margins before you spend your first euro.

→ View Demo

TECHNICAL INTEGRATION

Seamless API integration with your ERP.

Sales, inventory, and product data are sufficient. The system automatically uses open data sources (e.g., public holiday calendars, weather data) — users do not need to add or modify them manually.

Data export/import in CSV/XLSX.

Typically just a few hours, depending on data availability and integration requirements.

GDPR compliance (Servers located in Germany).

Yes, agAIn can be connected via API or file exchange with common ERP systems (SAP, Oracle, etc.).

Multi-user access support.

Yes. The system is intuitively designed and specifically developed for purchasing and category managers.

This is how agAIn transforms your logistics efficiency

No more theory and standard presentations

We analyze your specific requirements and create a live simulation directly using your datasets

Request analysis