OpenClaw · Detached Inventory · Demo

Inventory Warehouse Stock Count Agent

Automated stock count cycle management, system-vs-physical variance detection, and discrepancy flagging.

AI AgentLLM ServerInventoryStock CountDetached System
0.5×← Perlahan · Cepat →
0%Stage 0 / 7 · Idle
💬Tekan Play Demo untuk lihat bagaimana Stock Count Agent mengurus kitaran kiraan stok.
Demo Complete — All Stages Generated

01 WhatsApp Command

02 Stock Count Overview

Items Counted
Matched
Variance
Total Variance
Menunggu Sedang aktif Selesai

03 Python Script Generation

1
📥
Ambil data stok sistemAPI gudang — kuantiti sistem setiap SKU
2
🔢
Bandingkan dengan kiraan fizikalKira variance: fizikal − sistem
3
⚠️
Flag variance ketaraTanda item dengan variance > 5% untuk semakan
4
📊
Laporan & pelarasanJana adjustment report + notifikasi

04 Block Diagram

Menunggu Sedang aktif Selesai

05 System Schematic

Menunggu Sedang aktif Selesai
⚠️ Investigate significant variances before adjusting inventory records.

06 Simulasi Kiraan Stok

Mula Kiraan
Checked
0
Matched
0
Variance Items
0
Total Variance
0
SKU-001120118−2
SKU-00245450
SKU-003450432−18
SKU-0043033+3
Summary645628−17

07 Stock Count Report

Demo
Stock Count
Items Counted
5
Matched
1
Variance Items
4
Total Variance
-17
Status
Completed

Terminal Log

[SISTEM] Inventory Warehouse Stock Count Agent sedia

System Architecture

📱 Command Layer
WhatsApp instruction
🤖 Agent Layer
Stock fetcher
Variance calculator
Discrepancy analyzer
LLM optimizer
📦 Inventory Layer
WMS API
Stock records
Count sheets
Adjustment export

Safety Notes

  • ⚠️ Investigate significant variances before adjusting inventory records.
  • Human authorisation required for stock adjustment > 5% variance.
  • All count data must be verified by supervisor before system update.
  • Browser demo does not touch real warehouse management APIs.