Inventory Sits Idle While Decisions Wait
That inventory is costing you money.
The Inventory Clog
Supply chain teams operate with systematic delays:
- Replenishment signals arrive 24-48 hours after stock movement
- Allocation decisions wait for managers to review batch exports
- Safety stock held against uncertainty from stale data
- Exception handling discovered weekly, not as it happens
- AI models trained on yesterday's positions
The cost: Inventory idling in stores. Over-ordering to compensate for uncertainty. Write-offs discovered at month-end. Fulfillment teams shouting loudest get priority—not customers who ordered first.
How STREAM Unclogs Inventory Cycles
STREAM removes the 24-48 hour batch delay by streaming live SAP inventory data to supply chain teams.
1. Live Inventory Positions
Real-time stock in Excel and Power BI
- See current stock by location—not last night's snapshot
- Track movement as it happens (goods receipts, issues, transfers)
- Multi-plant visibility without IT exports
- Microsoft-certified: Excel, Power BI, Fabric
2. P2P Agent for Exception Handling
Autonomous supply chain agent in production since November 2023
- Monitors procurement exceptions in real-time
- Identifies late deliveries, price variances, quantity issues
- Recommends actions to supply chain team
- Resolves exceptions in seconds—not weekly review meetings
3. Process Mining for Procure-to-Pay
See exactly where inventory clogs occur:
- Approval bottlenecks by category
- Lead time variance by supplier
- Inventory turns by SKU
- Stockout vs overstock patterns
Works When
- SAP ERP or S/4HANA with MM modules
- Multi-location inventory management
- Supply chain team uses Excel/Power BI
- Need to reduce safety stock without risk
- High SKU count with variable demand
Fails When
- Single location with simple inventory
- Monthly inventory reviews sufficient
- No SAP MM modules
- Supply chain runs entirely on spreadsheets
Customer Impact: 20-40% Safety Stock Reduction
Global Manufacturing Company
Challenge: $50M in safety stock held against 24-48 hour data lag. Stockouts still occurring despite high inventory levels.
Solution: STREAM P2P process mining + live inventory in Power BI
Results:
- Safety stock reduced 30% ($15M freed capital)
- Stockouts decreased 45% with better visibility
- Inventory turns improved from 6.2 to 8.9 annually
- Exception resolution time from 5 days to 4 hours
Comparison: Batch vs STREAM
| Metric | Traditional Batch/Warehouse | STREAM |
|---|---|---|
| Stock Position Latency | 24-48 hours (nightly batch) | Real-time (as posted) |
| Multi-Plant Visibility | Manual consolidation | Live unified view |
| Exception Handling | Weekly review meetings | Seconds (P2P Agent) |
| Safety Stock Basis | Historical + buffer for lag | Real-time positions |
| Supply Chain Team Dependency | IT for reports | Self-service Excel/Power BI |
Frequently Asked Questions
How does STREAM reduce safety stock?
By streaming live inventory positions instead of 24-48 hour batch delays, supply chain teams see real-time stock levels across all locations. This visibility removes uncertainty—the root cause of safety stock buffers—allowing 20-40% reduction without increasing stockout risk.
What SAP tables does it stream?
STREAM streams all SAP MM inventory tables including MARD (storage location stock), MSKU (special stocks), MARC (plant data), plus procurement tables (EKKO, EKPO) and production tables (AFPO, AFKO) with delta change capture. 850,000+ tables available.
Does it work for multi-plant scenarios?
Yes. STREAM aggregates inventory across all plants, storage locations, and warehouses in real-time. Supply chain teams see unified stock positions in Excel or Power BI without manual consolidation.
What is the P2P Agent?
P2P Agent is an autonomous AI agent that monitors procurement exceptions in real-time. In production since November 2023, it identifies late deliveries, price variances, and quantity issues—recommending actions to supply chain teams in seconds instead of weekly meetings.