OpenClaw · Detached Inventory · Demo

Inventory Valuation Agent

Automated inventory valuation using FIFO / weighted-average methods with category-level stock reporting.

AI AgentLLM ServerInventoryValuationDetached System
0.5×← Perlahan · Cepat →
0%Stage 0 / 7 · Idle
💬Tekan Play Demo untuk lihat bagaimana Inventory Valuation Agent mengira nilai stok.
Demo Complete — All Stages Generated

01 WhatsApp Command

02 Requirement Analysis

Categories
4
Total Value
RM 154,000
Total Units
5,030
Avg Unit Value
RM 30.60
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03 Python Script Generation

1
📥
Fetch stok & kosAPI gudang — qty, cost per unit, kategori
2
🧮
Guna kaedah FIFO/WAKos purata wajaran ikut kategori
3
📊
Kira jumlah kategoriUnits × cost method = nilai stok
4
📋
Laporan penilaianRingkasan nilai inventori + compliance

04 Block Diagram

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05 System Schematic

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⚠️ Valuation method must comply with accounting standards (MFRS 102 / IAS 2).

06 Simulasi Penilaian Stok

Mula Analisis
Items
0
Total Value
RM 0
Total Units
0
Avg Unit Val.
RM 0
Pakaian1,200RM 48,000FIFO+5%
Kasut450RM 36,000FIFO+3%
Aksesori3,200RM 16,000-2%
Elektronik180RM 54,000FIFO+8%
Total5,030RM 154,000Mixed+4%

07 Valuation Report

Demo
Inv. Valuation
Total Value
RM 154,000
Total Units
5,030
Highest
Elektronik
Avg Unit Value
RM 30.62
Status
Completed

Terminal Log

[SISTEM] Inventory Valuation Agent sedia

System Architecture

📱 Command Layer
WhatsApp instruction
🤖 Agent Layer
Stock fetcher
Cost method engine
Category aggregator
LLM validator
📦 Inventory Layer
Warehouse API
Stock ledger
Unit costs
Valuation export

Compliance Notes

  • Valuation must comply with MFRS 102 / IAS 2 accounting standards.
  • FIFO vs weighted average method must be consistently applied per category.
  • Browser demo uses simulated data — no real warehouse API calls.
  • All inventory data is detached and processed locally.