Pricing

Optimize your SAP HANA inventory with AI automation

Swiftask syncs your SAP HANA data with AI agents to automate inventory tracking, stock-out alerts, and procurement orders.

Result:

Eliminate stock-outs and overstocking with intelligent, automated supply chain management.

The challenges of manual SAP HANA inventory management

Managing inventory within SAP HANA often requires constant human intervention to analyze stock levels, generate reports, and trigger replenishments. This latency between actual stock status and purchasing decisions is costly.

Main negative impacts:

High risk of stock-outs: Manual processing delays prevent immediate reaction to sudden spikes in demand or supplier delivery delays.
Unnecessary capital lock-up: Lack of predictive visibility leads to costly overstocking, straining your cash flow and storage capacity.
Cumbersome administrative processes: Manually entering replenishment orders in SAP HANA is prone to human error and wastes operational time.

Swiftask turns SAP HANA into an autonomous inventory system. Our AI agents analyze your data in real-time, anticipate needs, and execute corrective actions directly within your ERP.

BEFORE / AFTER

What changes with Swiftask

Traditional SAP HANA management

A manager checks inventory reports daily. They manually identify items below critical thresholds, verify history, and create purchase requests. By then, stock may have already hit zero.

Augmented management with Swiftask + HANA

The AI agent continuously monitors HANA tables. As soon as a threshold is crossed or an upward trend is detected, it automatically generates an alert or triggers a replenishment order.

Deploying your AI agent for SAP HANA

STEP 1 : Configure HANA connection

Connect Swiftask to your SAP HANA instance via our secure connectors. No changes to your ERP architecture required.

STEP 2 : Define threshold rules

Set alert levels and business rules (e.g., auto-replenish if stock < 10% over 3 days).

STEP 3 : Activate predictive analysis

The AI analyzes historical data in HANA to dynamically adjust safety thresholds based on seasonality.

STEP 4 : Automate actions

Authorize the agent to create purchase requests or notify managers via your communication tools.

Automation capabilities for your inventory

The agent reviews stock levels, supplier lead times, historical sales trends, and open orders within SAP HANA.

Target connector: The agent performs the right actions in hana based on event context.
Automated actions: Dynamic adjustment of safety stock levels. Automatic creation of purchase requests. Weekly inventory reports via email. Real-time alerts for slow-moving items.
Native governance: All actions taken by the AI are logged in the Swiftask audit trail for full compliance.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-hana@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Operational benefits of AI automation

1. Drastic reduction in stock-outs

Anticipate needs before stock runs out using predictive models.

2. Optimized working capital

Reduce dormant inventory by precisely aligning purchases with actual forecasts.

3. ERP data accuracy

Eliminate manual entry errors by automating data updates in SAP HANA.

4. Supply chain agility

Adapt your inventory strategies instantly in response to market changes.

5. Strategic focus

Your teams focus on managing supplier relationships rather than manual data entry.

Security and integrity of your SAP data

Swiftask applies enterprise-grade security standards for your hana automations.

Encrypted connection: Secure access to your SAP HANA databases via encrypted tunnels, adhering to your internal security policies.
Data integrity: Swiftask operates with controlled read/write access, ensuring no data is altered without prior validation.
Full traceability: Every decision made by the AI agent is documented, allowing for a complete audit at any time.
Granular access control: Define precisely what permissions the AI agent has within your SAP environment.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your logistics performance

Metric	Before	After
Replenishment time	Several days	Real-time (minutes)
Stock-out rate	8-12% average	Less than 2%
Administrative management cost	High (manual entry)	Reduced by 70%
Forecast accuracy	Based on simple history	Predictive AI (multi-variable)

Take action with hana

Eliminate stock-outs and overstocking with intelligent, automated supply chain management.