How It Works

Six autonomous steps — from demand sensing to performance tracking.

Step 1

Demand Forecast

ML-driven demand signals from SAP IBP, historical data, and market intelligence.

AI Powered
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Step 2

Inventory Optimisation

Safety stock recalculation, reorder point updates, and ABC classification.

Automated
Step 3

Auto Reorder

Automatic purchase requisition creation when stock falls below configured reorder levels.

SAP Native
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Step 4

Supplier Coordination

AI sends delivery updates, flags delays, and reschedules shipments proactively.

Automated
Step 5

Inbound Logistics

GR processing, quality inspection triggers, and warehouse putaway instructions.

SAP Native
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Step 6

Performance Tracking

Real-time KPI dashboards on OTIF, fill rate, and inventory turns.

Complete

Built for Supply Chain Teams. Trusted by COOs.

Every capability engineered for enterprise supply chains — visibility, accuracy, and SAP-native automation.

Eliminate Stockouts

AI forecasting ensures you always have the right stock at the right time — no manual guesswork.

Reduce Carrying Costs

Optimal inventory levels maintained automatically — avoid overstock and associated write-offs.

End-to-End Visibility

Every order, shipment and inventory position visible in one real-time dashboard.

Planners Focus on Exceptions

Routine replenishment and reorder decisions are fully automated — planners handle only anomalies.

Native SAP Integration

Direct integration with SAP MM, PP, WM and EWM — no middleware or custom connectors.

Multi-Plant Scale

Handles thousands of SKUs across multiple plants and warehouses without performance degradation.

See SAVI AI in Action

Watch how SAVI AI autonomously orchestrates enterprise workflows — from data capture to SAP posting — with zero manual intervention.

Automated Workflows
Zero Manual Effort
SAP Native Integration
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Frequently Asked Questions

Common questions about SAVI AI supply chain optimisation.

SAVI AI integrates SAP MM, SD, PP, and WM data into an AI-driven control tower that automates replenishment decisions, flags supply risks, optimises safety stock levels, and recommends sourcing actions, reducing both stockouts and excess inventory simultaneously.

SAVI AI monitors supplier lead times, open PO delivery commitments, and inventory trends to identify potential supply gaps 4 to 8 weeks in advance. When a risk is detected, the system alerts the team and recommends alternative sourcing options.

SAVI AI analyses historical sales data, seasonal patterns, promotional calendars, and external signals to generate demand forecasts at the SKU-plant level. Forecasts feed directly into SAP MRP to drive more accurate planned orders, improving service levels.

Yes. SAVI AI integrates with SAP SCM Advanced Planning, SAP IBP, and SAP EWM. It can also connect to third-party logistics platforms and 3PL systems via REST API for end-to-end supply chain orchestration.

SAVI AI gives vendors real-time visibility into open POs, delivery schedules, and quality requirements through the supplier portal. Vendors can confirm dates, flag delays, and upload shipping documents, all syncing directly into SAP to improve OTIF performance.