battles / ERP & Inventory
Fulfil.io vs StockIQ
Fulfil.io ($2,500/mo/mo, vibe code 3/10) vs StockIQ ($2,500/mo/mo, vibe code 2/10). Fulfil.io is the easier one to rebuild yourself — here is what you lose either way.
ERP & Inventory
$2,500/mo/mo
- MVP
- 2 weeks
- Full replacement
- 12-18 months, due to double-entry ledger math, WMS hardware flows, and multi-channel race conditions
easier to rebuild
get the build prompt →ERP & Inventory
$2,500/mo/mo
- MVP
- 2 weeks
- Full replacement
- 9-12 months, due to complex statistical forecasting models, edge-case math, and ERP integration stability.
price gap / year
usage-based
running both / year
$60,000/mo
our call
Start with Fulfil.io — highest vibe code, weakest moat.
Fulfil.io
Fulfil.io is a full-featured cloud ERP built on top of the Tryton framework. While an AI agent can build a basic inventory dashboard in a weekend, replicating FIFO valuation, landed costs, audit-proof GL accounts, and real-time multi-channel inventory lock management is a massive software engineering endeavor.
you can rebuild
- Simple inventory stock count dashboard across locations
- Basic Purchase Order creation and PDF export
- Manual stock adjustment interface
- Vendor contact directory and catalog list
- Basic order status tracking dashboard
what you lose
- Integrated double-entry general ledger accounting compliant with GAAP/IFRS
- Real-time landed cost allocation incorporating freight, customs, and duties into COGS
- Barcode-scanner-compatible mobile WMS workflows for picking, packing, and receiving
- FIFO/LIFO stock queue movement tracking with lot and expiration management
- High-concurrency inventory reservation engines preventing overselling across channels
real moats
- Deep operational integration lock-in across 3PLs, carriers, and accounting systems
- Audit-proof double-entry transactional accounting engine
- Extensive ERP configuration history tied to complex physical warehouse layouts
open source escape hatches
- ERPNext GPL-3.0
- Tryton GPL-3.0
- Odoo Community LGPL-3.0
StockIQ
StockIQ is far beyond a simple reorder alert dashboard; it handles multi-echelon statistical forecasting, vendor lead-time variance, container load optimization, and deep enterprise ERP sync. While basic moving-average reorder scripts are quick to build with AI, replicating StockIQ's full mathematical rigor and operational edge cases for high-volume distributors requires serious domain engineering.
you can rebuild
- Basic reorder point notifications based on static stock thresholds
- Simple moving average historical demand forecasting
- Purchase order PDF generation and supplier email triggers
- Vendor record keeping and manual lead time logging
- Basic SKU-level velocity and inventory health dashboards
what you lose
- Advanced statistical forecasting engines (Holt-Winters, Croston's method)
- Multi-echelon inventory allocation across regional distribution hubs
- 3D container load optimization and cubic fill calculations
- Native bi-directional lock-safe ERP synchronization
- Supplier performance scoring and automated lead-time variance tracking
real moats
- Deep bidirectional sync capabilities with legacy and enterprise ERPs
- Proprietary supply chain algorithms for multi-echelon replenishment planning
- Extremely high operational switching costs once implemented across distribution centers
open source escape hatches
- ERPNext GPL-3.0
- InvenTree MIT
- Apache OFBiz Apache-2.0
Questions people ask
Which is easier to rebuild with AI, Fulfil.io or StockIQ?
Fulfil.io. It scores 3/10 on vibe code with a moat of 5/10, so an AI-assisted MVP takes about 2 weeks and a full replacement about 12-18 months, due to double-entry ledger math, WMS hardware flows, and multi-channel race conditions.
Which one costs less, Fulfil.io or StockIQ?
Fulfil.io at $2,500/mo/mo for a typical mid-market store. The gap between the two is about usage-based a year.
What do I lose if I replace Fulfil.io?
Integrated double-entry general ledger accounting compliant with GAAP/IFRS Real-time landed cost allocation incorporating freight, customs, and duties into COGS Barcode-scanner-compatible mobile WMS workflows for picking, packing, and receiving
What do I lose if I replace StockIQ?
Advanced statistical forecasting engines (Holt-Winters, Croston's method) Multi-echelon inventory allocation across regional distribution hubs 3D container load optimization and cubic fill calculations
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