OpenClaw · Detached Inventory · Demo

Inventory Overstock Detection Agent

Automated overstock detection, carrying cost calculation, and markdown strategy suggestions for inventory optimisation.

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

01 WhatsApp Command

02 Overstock Analysis

Overstock Items
4
Total Value
RM 31,400
Carrying Cost
RM 1,884
High Priority
2
Menunggu Sedang aktif Selesai

03 Python Script Generation

1
📦
Ambil data stokAPI inventory — kuantiti, harga, tarikh masuk
2
🧮
Kira thresholdPurata jualan harian vs stok semasa
3
💰
Kos simpananCarrying cost 6% sebulan setiap item
4
🏷️
Cadangan promosiFlash sale, bundle, clearance — ikut margin

04 Block Diagram

Menunggu Sedang aktif Selesai

05 System Schematic

Menunggu Sedang aktif Selesai
⚠️ Validate margin impact before executing promotions.

06 Simulasi Overstock Detection

Mula Analisis
Items Scanned
0
Total Value
RM 0
Carrying Cost
RM 0
High Priority
0
Beg Tangan450RM 11,250Flash sale 30%
Baju Kurung320RM 6,400Bundle deal
Jam Casio180RM 9,000Clearance 50%
Set Peralatan95RM 4,750Buy 1 Free 1
Summary1,045RM 31,4004 promotions

07 Overstock Report

Demo
Overstock Detection
Total Items
0
Total Value
RM 0
Carrying Cost
RM 0
Promotions
0
Status
Completed

Terminal Log

[SISTEM] Inventory Overstock Detection Agent sedia

System Architecture

📱 Command Layer
WhatsApp instruction
🤖 Agent Layer
Stock fetcher
Overstock calc
Carrying cost
LLM optimizer
📦 Inventory Layer
Inventory API
Stock levels
Sales history
Promo engine

Safety Notes

  • Validate margin impact before executing promotions.
  • Ensure carrying cost parameters reflect actual holding costs.
  • Review overstock thresholds per product category.
  • Browser demo does not touch real inventory APIs.