Retail inventory system demo: 8 live apps built by AI models
Every app below is a working retail inventory system, built by an AI coding model from the PlanSmith Retail Inventory Management planner — running, with sample data, not a mock-up. Open one, sign in with the demo account it shows, and try it.
Open one and try it.
LiveStockbay
“Stockbay” — a movement-ledger purist: stock only ever changes through receiving, adjustments, counts, or returns, each writing before/after quantities with actor attribution. Fifteen surfaces — matrix items, scan, stocktakes, SVG label sheets, CSV opening-stock import, vendor returns, an audit trail — and eight CSV exports behind three role-aware logins.
Open live demo →
LiveHarbor Lane Market
A single-store stock command center finished after the original audit: the full ops loop — purchase-order pipeline (draft → sent → partial), receiving against POs, counts with variance, vendor returns, labels, and reason-coded adjustments — behind real credentialed logins and a dashboard whose every widget names its data source.
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LiveNorthstar Goods
“Retail Inventory Command” — every surface implemented with zero stubs: a drill-through KPI dashboard, items and variants, adjustments, stocktakes, low-stock rules, POs and receiving, vendor returns, labels and scan, and CSV exports, with four-role access control.
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LiveStockKind
“StockKind Inventory Command” — a zero-dependency build with the set's most data-visual dashboard: a stock-health score, category value mix, a risk-ranked reorder queue that composes POs, receiving with partial receipts, counts with variance commit, and seven CSV reports.
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LiveNorthline Outfitters
The broadest operations lifecycle of the set — receiving, vendor returns, adjustments with reason codes, full and cycle stocktakes, labels, scan workflows, CSV import, owner valuation, and eight exportable reports — over a real 22-table SQL schema with zero dependencies.
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LiveCommand Center
“Northstar Retail Supply” — a scan-first clerk workbench and owner command center: counts with live variance, receiving against POs and ad-hoc, unresolved-barcode reconciliation, labels, and role-gated valuation, over a rich cross-linked demo dataset.
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Same planner, different results.
| Rank | Build | Model | Score | In one line |
|---|---|---|---|---|
| 1 | Harbor Lane | Composer 2.5 | 93 | The strongest build on both features and design. |
| 2 | Stockbay | Grok 4.5 | 91 | The second Grok lane — and the set's cleanest domain model. |
| 3 | Northstar Goods | GPT-5.5 | 87 | The consistent all-rounder — every surface, no stubs. |
| 4 | StockKind | GPT-5.5 | 86 | The most presentable handover — and it runs on nothing. |
| 5 | Command Center | GPT-5.5 | 81 | Strong everywhere, exceptional nowhere. |
| 6 | Northline Outfitters | GPT-5.5 | 77 | The broadest lifecycle in the set, behind the plainest UI. |
| 7 | Larder | Gemini 3.1 Pro | 62 | Highest ceiling on paper; took three fix rounds to get there. |
| 8 | Harbor Lane Market | Grok 4.5 | 35 | Missed the audit window; the finished build is real. |
Scores are as found at audit. The full findings for every build — what it does well and what we found — are on the retail inventory management build-off board.
What to know before you build.
- Inventory management system database design: the schema, and the one column that ruins it
- Custom inventory management software: what you're actually paying for, and when it's the wrong answer
- Inventory management in Excel: a working template, where it breaks, and what comes next
- Free inventory management software: what 'free' actually costs, and how to choose
- What a retail inventory management system includes (feature checklist from 120 real sources)
- How to build a retail inventory management system: the practitioner's guide (2026)
- Build vs buy: retail inventory management in 2026