fabby.AI analyzes historical order data, seasonal patterns, and external factors such as weather or holidays to generate accurate sales and production forecasts. This helps companies avoid excess inventory, make better use of production capacities, and optimize procurement processes. Companies receive a data-driven basis for daily operational planning—directly in their ERP system.
Based on demand, ordering behavior, and location data, AI calculates which items need to be available when and where. Inventory forecasting from fabby.AI ensures optimal distribution of goods, reduces storage costs, and minimizes shortages. This significantly improves availability, especially in dynamic supply chains with fluctuating demand.
The integrated cluster analysis identifies patterns in customer behavior and converts them into actionable signals. Practical examples: If an above-average number of customers unsubscribe after certain deliveries (e.g., strawberries), the AI recognizes such correlations and marks them automatically. More importantly, changes in purchasing behavior become visible at an early stage—for example, when a customer only purchases 60% of a product range instead of 80% as before. This may indicate a change of supplier—and allows targeted reactivation measures, e.g., through discounts or personal contact.
The integrated voice assistant from fabby.AI replaces traditional user interfaces with dialogue-based interaction. Users can confirm orders, check stock levels, or place orders using voice commands. This reduces training costs, lowers barriers to entry, and increases efficiency—especially for users without in-depth ERP expertise.
Ob Datenanalyse oder Workflow-Überwachung – unsere Lösungen liefern schnelle, klare Erkenntnisse und helfen Ihnen, Abweichungen frühzeitig zu erkennen und bessere Entscheidungen zu treffen.
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