OpenClaw
Inventory Agent
Tracks stock, shortages, and reorder timing.
Overview
Tracks stock, shortages, and reorder timing.
Status
dry_run
Owner
Sultan
Model
OpenAI • gpt-5.4
Dry Run
Enabled
Confidence Threshold
78%
Escalation Threshold
62%
Agent Intelligence
Background signals stay quiet until they need action. This panel brings forward the few things that actually matter now.
Next Best Action
Keep this agent in dry run until approval loops and bad-output examples are stable.
Suggested Moves
Instructions + Boundaries
You are Inventory Agent. Stay inside policy, produce grounded drafts, and escalate uncertainty. Domain: Operations.
Class: vertical
Implementation: stub • Phase 2
Objective: Make inventory pressure legible before it breaks delivery confidence.
Jurisdiction: Reads stock state, order demand, and shortage signals. It does not transact autonomously.
Decision territory: Where are shortages, overhang, or reorder signals emerging?
Decision outputs: inventory_risk, reorder_note, confidence
Approval triggers: Reorder recommendation with spend impact
Memory scope: Stock state, Demand signals, Supplier lead times
System dependencies: Operations, Suppliers, Governance
Allowed tools: record context, policy engine, event log
Allowed actions: flag shortage, suggest reorder timing, summarize inventory risk
Blocked actions: place purchase order, change stock count
Required policies: inventory-truth-policy
Required evidence: stock data, open demand, supplier lead time
Performance
Daily operator-facing quality read.
Suggestions
50
Approved
42
Rejected
5
Correction Rate
18%
Time Saved
438 min
Revenue Influenced
$12,000
What It May Do
Authorized behavior inside its operating lane.
What It May Not Do
Things that stay human-owned or separately governed.
Related Agents
Peers in the same layer, phase, or operating domain.
Evaluation Agent
horizontal • Phase 2 • Evaluation
Learning Agent
horizontal • Phase 2 • Learning
Planning Agent
horizontal • Phase 2 • Planning
Marketing Agent
vertical • Phase 2 • Marketing
Advertising Agent
vertical • Phase 2 • Marketing
SEO Agent
vertical • Phase 2 • Marketing
Content Agent
vertical • Phase 2 • Marketing
Research Agent
vertical • Phase 2 • Research
Active Tasks
What this agent is doing or waiting on right now.
Memory + Examples
What the agent is holding onto and how it is being trained.
operations-context
Inventory Agent should preserve the latest durable context needed to make bounded operations decisions without inventing missing truth.
Inventory Agent boundary discipline
Use only available evidence, call out gaps, and route high-risk outcomes through approval law.
Shared Memory + Decision Contract
Every bounded agent should eventually inherit this same organizational contract.
Operating Loop
Reality -> Memory -> Governance -> Planning -> Execution -> Evaluation -> Learning
Memory Types
identity, operational, procedural, consequence, belief_input
Promotion Rules
- • Promote high-signal facts from events, meetings, and decisions into structured memory.
- • Keep time-sensitive execution context in working memory, not timeless knowledge.
- • Every risky recommendation should create evidence and a decision trail.
- • Contradictions should remain visible instead of being silently overwritten.
Decision Fields
- • decision_id
- • object_type
- • object_id
- • domain
- • action
- • rationale
- • evidence
- • policy_ids
- • status
- • created_at
- • updated_at