AI-powered decision intelligence for retail networks and finance teams.

Neuro IA France is an applied AI studio building enterprise-grade platforms that unify operational data (ERP, POS, e-commerce, CRM) and convert it into real-time insights, forecasting, and automation. We help leaders make faster decisions, protect margins, and scale performance across multi-site operations.

Faster decisions Real-time signals and alerts across stores, regions, and channels.

Better margins Price/cost drivers, mix effects, and profitability monitoring.

Forecast with confidence Demand, revenue, cost and staffing forecasts to plan ahead.

Operational alignment Order intake, inventory and supply-chain synchronization.

What Neuro IA France delivers

Sales & P&L intelligence

Network-wide KPI dashboards (stores, franchises, regions).
Automated anomaly detection (sales, margin, traffic, basket).
Drill-down to root causes (mix, pricing, discounts, costs).

Forecasting & planning

Demand / revenue / cost forecasting with scenario planning.
Staffing and capacity planning aligned with forecasted activity.
Early-warning indicators for volatility and risk.

Order, inventory & supply chain

Order intake monitoring and synchronization across channels.
Inventory health, stock-out risk, replenishment prioritization.
Operational alignment between HQ, warehouses and stores.

Designed for enterprise decision-makers

CFO & Finance leaders

Profitability, cash & performance management.

Retail & Operations leaders

Network execution, stock, order flow & service levels.

Executives & Transformation

Enterprise visibility, governance & scalable AI.

Platform & delivery model

Neuro IA France combines consulting-grade discovery with product-grade delivery. We integrate your existing systems, build a single source of truth, and deploy dashboards, forecasts, and AI workflows that teams actually use.

Platform principles

Enterprise integration: ERP / POS / e-commerce / CRM / BI / APIs.
Secure deployments: on-premise, private cloud, or hybrid.
Modular architecture: start small, scale to the entire enterprise.
Governance-ready: auditability, roles & permissions, data lineage.

Typical engagement (rapid and scalable)

1) Discovery & KPI mapping
Business priorities, data audit, KPI definition.

2) Data integration
Connect sources, clean & model data, build a unified layer.

3) Build & deploy
Dashboards, alerts, forecasting models, workflows.

4) Scale & optimize
Roll out across regions, improve models, automate decisions.

Representative use cases

Retail performance monitoring
Network KPIs, store ranking, actionable alerts.

Margin & pricing intelligence
Mix effects, discount leakage, cost drivers.

Order intake in sync
Unified order visibility, exceptions & operational routing.

Demand & staffing forecasting
Plan capacity and reduce volatility with scenarios.