Orders in.
Intelligence out.
Orderix.ai is an AI-native order management initiative built around intelligent order decisions across routing, payments, exceptions, returns and fulfillment workflows.
Order intelligence
Product vision
A smarter decision layer for order operations.
The OMS AI POC describes a system combining a domain-tuned language model, retrieval from historical cases, deterministic safety controls, an order-processing agent and a feedback loop.
Order Routing
Warehouse selection, split vs. consolidate, priority handling and backorders.
Payment Decisions
Gateway routing, retry logic, fraud flags and refund processing.
Exception Handling
Out-of-stock, declined payment, invalid address and carrier-delay scenarios.
Returns & Refunds
Return eligibility, refund method, restocking and exchanges.
Business Configuration
Translate business descriptions into workflow rules.
Context-Aware AI
Use historical order and resolution cases as context before decisions.
Architecture
From order event to controlled action.
The POC connects Llama 3 8B, LoRA fine-tuning, pgvector RAG, guardrails, an agent and feedback logging.
Order
Order data enters the workflow.
RAG
Retrieve historical cases.
LLM
Generate decision and confidence.
Guardrails
Validate before execution.
Agent
Execute or escalate.
Feedback
Log overrides and retrain.
Core capabilities
Intelligence built in layers.
Each component can be tested independently before becoming part of the full agent workflow.
Fine-Tuning
LoRA adapts Llama 3 8B to OMS-specific instruction-response examples.
Context Retrieval
pgvector retrieves relevant historical order and resolution cases.
Guardrails
Five deterministic checks control whether AI actions can execute.
Order Agent
Connects model, RAG and guardrails to process mock orders.
Feedback Loop
Human corrections become training data for later cycles.
Operational Memory
PostgreSQL and vector storage provide historical decision context.
Controlled AI
AI proposes. Guardrails control execution.
The POC places deterministic Python safety checks between the AI decision and execution.
Input validation
Required order fields must be present.
Action whitelist
Only approved actions are accepted.
Business rules
Thresholds and operational rules are enforced.
Confidence
Low-confidence decisions are blocked.
Action tier
Actions route to auto or human-review paths.
Human authority
The AI does not determine its own authority.
Orderix.ai
Interested in the product direction?
Talk with Medvion about the OMS AI concept, POC or product roadmap.
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