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Stock Runway Lite|庫存天數試算

Stock Runway Lite|庫存天數試算

以現有庫存、預留量、確認到貨與自訂每日消耗試算庫存天數;不預測需求或自動下單。 Calculate inventory runway using on-hand stock, reservations, confirmed receipts and your chosen daily consumption; no demand forecasting or automatic ordering.
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Stock Runway Lite - See the Gap Before the Receipt

Price: US$9.99 one-time. Mode: Download. Category suggestion: Commerce / Productivity.

English

Turn a small stock table into an inspectable calendar: on-hand minus reservations, then confirmed dated receipts and your own daily consumption. See opening shortages, zero-balance days, projected gaps and unknown-rate SKUs separately. Optional scenarios use rates you explicitly supply, rather than invented demand multipliers.

Includes a Python standard-library helper, agent skill, English/Traditional Chinese guides and a synthetic worked example. Supports 1-50 SKUs, 1-90 calendar days, up to 3 supplied rate scenarios per SKU. Requires your own compatible AI agent/model (separate fees) and Python 3.10+ for automatic calculations. No API key, paid integration or account connection.

This is narrow operational arithmetic, not demand forecasting, accounting, financial advice, working-day planning or automatic purchasing. Negative balances are shortage/backlog proxies, not lost-sales predictions. User input must use consistent units and daily consumption beyond already reserved commitments. No availability guarantee.

繁體中文

把小型庫存表整理成能逐日核對的日曆:現有量減預留,再按確認日期計入到貨,扣除你提供的每日消耗。分開呈現開場缺口、歸零日、預計缺口與未知消耗SKU。情境採你明確提供的速率,不編造需求倍率。

包含標準函式庫 Python 程式、Agent 技能、中英文指南及合成範例。支援1至50個SKU、1至90個日曆日,每SKU最多3組明示速率情境。需要自己的相容AI Agent/模型(費用另計);自動計算需Python 3.10+。不需API金鑰,不含付費整合或帳號串接。

僅做營運算術,不預測需求、不提供會計或財務建議、不支援工作日排程、不自動下單。負結餘是累積缺口/待補量的試算,不是銷售損失預測。資料須採一致單位,消耗不得重複扣除已預留承諾。不保證實際供貨。

Reproducible synthetic demonstration / 可重跑合成示範

Start with 80 available units and stated additional use of ten per day. A confirmed day-nine receipt entering before consumption avoids a false pre-arrival gap; day-eight zero stock is distinct from shortage. This is a synthetic arithmetic illustration, not demand forecasting.

80件可用量、指定額外每日消耗10件,第9天日初確認到貨可避免誤報到貨前缺口;第8天日末零庫存與短缺不同。這是合成算術示範,不是需求預測。


Externe APIs

自備相容 AI 工具/模型 | Buyer-selected compatible AI client/model