Aeion SCM vs SAP
SAP MM/WM is a 30-year-old module in a monolithic ERP. Aeion SCM is a purpose-built supply chain platform with AI-powered forecasting, wave picking with route optimization, and voice-directed picking—all at a fraction of SAP's TCO.
Feature-by-Feature Comparison
| Feature | Aeion SCM | SAP MM/WM | Winner |
|---|---|---|---|
| **AI Forecasting** | 12-period WMA, Z-score safety stock | Basic moving average | Aeion |
| **Wave Picking** | Route optimization, voice picking, confirm codes | Manual process | Aeion |
| **Bin Slotting** | ABC-velocity optimization | Manual configuration | Aeion |
| **Safety Stock** | Z-score calculation, days-until-stockout | Static reorder point | Aeion |
| **Vendor Scoring** | Auto scorecard, lead time analysis | Basic PO history | Aeion |
| **Procurement PO** | Auto numbering, receiving workflow | Complex configuration | Aeion |
| **Multi-Warehouse** | Centralized inventory, transfers | Multi-client required | Aeion |
| **Route Optimization** | Aisle → rack → level sort | No optimization | Aeion |
| **Voice Picking** | 4-char confirm codes, 32-char set | Not native | Aeion |
| **Implementation** | 4-8 weeks | 12-18 months | Aeion |
| **Monthly Cost** | A flat monthly rate — see /plans | $10,000+/month | Aeion |
| **Platform Integration** | Native CRM/AI/notifications | SAP middleware required | Aeion |
Why Aeion SCM Wins
| Method | Old Data Weight | Trend Detection | Accuracy |
|---|---|---|---|
| Simple MA | Equal (8.3% each) | Poor | ±15% |
| WMA (12-period) | Weighted (18% down to 1%) | Good | ±8% |
| Exponential | Parameter-dependent | Variable | ±10% |
Wave Picking with Route Optimization
SAP WM: Manual process
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* SAP WM: Manual wave creation
* 1. Create transfer order manually
* 2. Assign stocks individually
* 3. Print pick list
* 4. Worker follows random path through warehouse
* Average pick time: 45 minutes per wave
Aeion SCM: Automated optimization
Orders are batched into a pick wave, and each line automatically resolves to a bin location and gets a 4-character voice confirmation code. The wave is then re-sorted by aisle, then rack, then level — eliminating the backtracking that comes from picking in order-received sequence.
Bin Code Format: A-03-2 → aisle-rack-level (aisle A, rack 3, level 2)
Results:
- Faster pick times
- Reduced travel distance
- Low pick error rate
Voice-Directed Picking
| Excluded | Reason |
|---|---|
| I | Sounds like 1, l |
| O | Sounds like 0 |
| 0 | Sounds like O |
| 1 | Sounds like I, l |
Bin Slotting Optimization
SAP WM: Manual configuration
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* SAP: Manual bin assignment
* 1. Run LS26 (stock overview)
* 2. Export to Excel
* 3. Calculate ABC classification manually
* 4. Update bin assignments one by one
* 5. No automated suggestions
Aeion SCM: ABC-velocity optimization
Bin reassignments are suggested automatically based on each product's ABC classification and velocity:
- A items — top 80% of value (~20% of items) → closest bins (<50 ft from dock)
- B items — next 15% of value (~30% of items) → middle bins (50-200 ft)
- C items — bottom 5% of value (~50% of items) → farthest bins (>200 ft)
A suggestion looks like: _Widget Pro, currently in bin C-15-3, should move to A-02-1 — "A-item → fast-pick zone."_
Slotting Results:
- Reduced pick travel
- Increased warehouse capacity
- Reduced picker fatigue
Vendor Scorecard
SAP MM: Basic PO history
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* SAP: PO history only
* ME2M - Purchase Orders by Material
* ME2L - Purchase Orders by Vendor
* No automated scoring
* Manual analysis required
Aeion SCM: Auto scorecard
Every vendor gets an on-time delivery percentage (POs received by their expected date), a quality score (based on rejection rate at receiving), a cost rank relative to other vendors for the same product, lead time and consistency, and an overall weighted score — recalculated automatically on every PO receipt, with no manual analysis required.
Vendor Scorecard Dashboard:
typescript
{
"vendorId": "vendor-acme",
"period": "last_90_days",
"metrics": {
"onTimeDelivery": 92, // 92% on-time
"qualityScore": 98, // 98% accepted
"avgLeadTime": 6.5, // Days
"leadTimeVariance": 1.2, // Standard deviation
},
"overallScore": 95,
"tier": "preferred", // tiered: preferred, standard, probation
"recommendations": [
"Consider volume discounts at 10,000+ units/month",
"Lead time consistency excellent"
]
}
Procurement Workflow
SAP MM: Complex configuration
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* SAP MM: Complex PO workflow
* 1. Define purchasing organization (OX09)
* 2. Define purchasing group (OPGH)
* 3. Create info record (ME11)
* 4. Create source list (ME01)
* 5. Create purchase requisition (ME51)
* 6. Convert to PO (ME21N)
* 7. Configure release strategy (OME4)
* 8. Configure output determination (MN04)
* Total setup: 4-6 weeks
Aeion SCM: Simple, opinionated
POs get an auto-generated number ("PO-1001") and line totals calculate automatically, including any per-line discount. When a shipment is received, Aeion SCM automatically creates the corresponding inventory movement, updates each line's received quantity, and scores the vendor based on delivery timeliness — no separate manual steps.
PO Status Flow: draft → sent → partial → received
Receiving Creates Inventory Movements:
On receipt, Aeion SCM automatically:
- Creates an inventory movement (type: "receipt")
- Updates stock levels
- Updates the PO line's received quantity
- Recalculates the vendor's score
- Triggers a completion event your integrations can subscribe to
Pricing Analysis
| Component | Cost | |
|---|---|---|
| SAP S/4HANA license | $150,000/year | |
| SAP MM module | $50,000/year | |
| SAP WM module | $50,000/year | |
| Implementation (8-12 months) | $500,000-1,000,000 | |
| Annual maintenance (22%) | $55,000/year | |
| Hardware infrastructure | $100,000 | |
| **5-year TCO** | **$1,200,000-1,700,000** | |
| Plan | Price/Month | Features |
| ------------ | ----------- | ----------------------------- |
| Starter | See /plans | 1 warehouse, 1,000 products |
| Professional | See /plans | 5 warehouses, 10,000 products |
| Enterprise | See /plans | Unlimited warehouses/products |
Implementation Timeline
| Phase | Duration | Activities |
|---|---|---|
| Discovery | 2 months | Requirements gathering, gap analysis |
| Design | 3 months | System design, configuration |
| Build | 4 months | Development, integration, testing |
| UAT | 2 months | User acceptance testing |
| Go-Live | 1-4 months | Data migration, training, cutover |
| Phase | Duration | Activities |
| --------- | --------- | -------------------------- |
| Setup | 1 week | Warehouse, bins, products |
| Data | 1 week | Import products, inventory |
| Configure | 1 week | Vendors, POs, automation |
| Test | 1 week | UAT, training |
| Go-Live | 1-2 weeks | Cutover, go live |
Migration from SAP
| Data | Status |
|---|---|
| Products | ✅ SKUs, pricing, reorder points |
| Vendors | ✅ Vendor master, contacts, terms |
| Inventory | ✅ Stock levels, bin locations |
| POs | ✅ Open POs, history |
| Invoices | ✅ PO receipts, vendor invoices |
| Master Data | ✅ Warehouses, categories |
| SAP T-Code | Aeion SCM |
| ----------------------- | ----------------------------------------- |
| ME21N (Create PO) | `POST /api/v1/scm/purchase-orders` |
| ME2L (PO by vendor) | `GET /api/v1/scm/purchase-orders?vendor=` |
| MIGO (Goods receipt) | `POST /api/v1/scm/receiving-receipts` |
| MB51 (Movement history) | `GET /api/v1/scm/inventory-movements` |
| LS26 (Stock overview) | `GET /api/v1/scm/stock-levels` |
| LX02 (Transfer order) | `POST /api/v1/scm/pick-waves` |
| MI20 (Inventory count) | `POST /api/v1/scm/cycle-counts` |
| MK01 (Vendor create) | `POST /api/v1/scm/vendors` |
| ME11 (Info record) | Auto-created on first PO |
A 4-8 week migration replaces years of SAP MM/WM licensing, implementation, and a dedicated basis consultant.
Aeion SCM condenses SAP's 50+ transaction codes into 5 key workflows, mapped directly to REST endpoints for purchase orders, receiving, inventory movements, and pick waves. AI demand forecasting, wave picking, and voice picking with confirm codes work together to reduce stockouts and picking errors without the multi-year implementation timeline.
FAQ
Recent periods are weighted higher (about 78% of total weight falls in the most recent 6 periods). SAP's basic moving average gives equal weight to all periods. WMA captures trends significantly better.
Pick lines are automatically sorted by aisle → rack → level, using bin codes like "A-03-2" (aisle A, rack 3, level 2). Eliminates backtracking. Result: faster picking.
4-character codes drawn from a set that excludes I/O/0/1. Worker says "X7K2" to confirm a pick. Over 1 million possible combinations, chosen specifically to avoid voice recognition confusion.
SAP uses a static reorder point (manual entry). Aeion calculates a dynamic safety-stock buffer from average daily demand and your configured safety-stock days, targeting a 95% service level that accounts for demand variability.
SAP requires manual analysis of purchasing reports. Aeion auto-calculates on-time %, quality (rejection rate), lead time variance, and response time into a weighted composite score, updated on every PO receipt.
SAP: 12-18 months. Aeion: 4-8 weeks. 95% faster due to pre-configured best practices, cloud-native architecture, and opinionated workflows.
Year 1: Save ~$2,245,012 (SAP $2.275M vs Aeion $30K). Ongoing: Save ~$240,000/year in licensing + $150,000/year in basis consultant.
Yes. Export from SAP via SE16/MM01/MK01, transform to Aeion format, import. Products, vendors, inventory, POs, receipts all transfer.
Import as draft or approved status. Continue receiving in Aeion. Historical receipts import with movement history.
SAP: 50+ transaction codes, complex release strategies. Aeion: simple status flow (draft → sent → partial → received). Auto-numbering, auto-inventory on receipt, auto-vendor scoring.
Ready to Migrate from SAP?
Save $2,245,012 in year 1. Get AI forecasting. Wave picking. Voice picks.