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
abap
* 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
abap
* 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
abap
* 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
abap
* 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 |
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.