Governed AI for
Retail & Commerce Operations.
From demand forecasting to inventory optimization to customer intelligence — turning fragmented retail data into governed decisions that activate across your commerce stack.
Where AI Actually Gets Hard
in Retail
Not hype. Not generic. These are the friction points where most AI deployments stall — and where ARPIA's Intelligence Execution Layer is built to deliver.
Fragmented Customer & Inventory Data
POS, e-commerce, loyalty, supply chain, and vendor systems generate disconnected data — requiring a semantic layer before AI can reason correctly across the full commerce operation.
Real-Time Decisions at Commerce Scale
Pricing, replenishment, and personalization decisions require cross-channel context at the moment of interaction — with full traceability and governance at every step.
From Forecast to System Activation
The gap between an AI-generated demand forecast and an activated replenishment order or pricing decision in your OMS or ERP is where most retail AI investments fail to deliver ROI.
From Your First Governed Pipeline
to Full Autonomous Execution.
ARPIA meets retail organizations at any stage of AI maturity — and grows with them. Use Case 1 and Use Case 6 run on the same platform.
Unified Commerce Data & First Demand Model
Connect POS, e-commerce, loyalty, and supplier data into a unified semantic layer. Deploy your first governed demand or customer segmentation model — with full data and model traceability from day one.
Multi-Model Retail Intelligence & Automated Reporting
Coordinate models across demand, inventory, pricing, and customer data. Automated merchandising and performance reports, cross-channel decision synthesis, and a full audit trail at every decision point.
Agentic Commerce Pipeline → OMS & ERP Activation
Agentic pipelines reasoning across demand signals, inventory positions, margin targets, and supplier availability simultaneously. Replenishment, pricing, or promotion decisions validated and activated directly in OMS and ERP — no manual handoff.
Every stage runs on the same platform. No rebuilding, no migration. You scale the architecture — not the infrastructure. Read the full technical breakdown →
We Build Your First Use Case.
You Run It. You Scale.
The ARPIA platform is already built — 7 years of production development. Our team engages as co-builders on your first use case, then hands you the capability to scale independently.
Understand
We map your most complex retail or commerce process — data sources (POS, e-commerce, ERP, OMS), decision logic, and system activation targets. Every conversation starts with your hardest operational problem.
Build
We design and deploy the AI pipeline on ARPIA in 30–90 days. Full governance and 4-level traceability are built in from day one — Data, Model, Decision, Audit.
Scale
You run Use Case 1. Your team learns the platform. We help you identify and design the next pipeline — without rebuilding infrastructure or starting from scratch.
We didn't hire ARPIA to build a tool. We're building our intelligence layer. The first use case — our collections pipeline — went from days of analyst work to 13 minutes in production. But what convinced us this was the right platform was how fast the second and third use cases came together. The data layer and ontology were already there. We're now building our fourth pipeline on the same infrastructure. Every one has been faster and cheaper than the last.
VP of Enterprise AI Finance & Retail Multinational Group
What Is Your Most Complex Commerce Process?
Tell us your hardest demand, inventory, or customer intelligence challenge. We will show you exactly how ARPIA solves it — and how fast.