AI Modules
A unified suite of intelligent, AI-native modules designed to orchestrate your entire retail operation — from order capture to financial close. Each module is powered by real-time events and embedded machine learning, enabling Nexusphere to automate decisions, detect risks early, and continuously improve outcomes across the supply chain.
Order-to-Cash (O2C)
A unified, event-driven flow that turns customer demand into fulfilled orders and posted revenue — with intelligence embedded at every step.
Capture Order → Validate → Allocate Inventory → Fulfill/Ship → Invoice → Cash Application
Each step emits events that drive automation, exception handling, and continuous learning.
- Fewer manual touches across order capture, exceptions, and fulfillment readiness.
- Earlier visibility into stockout risk, delays, and revenue leakage.
- Cleaner handoffs into Finance for faster close and reconciliation.
Procure-to-Pay (P2P)
A demand-aware purchasing and supplier execution loop — from replenishment intent to matched invoices and paid suppliers.
Forecast/Need → Purchase Request → PO → Receive/ASN → 3-Way Match → AP Posting → Supplier Payment
Real-time events connect procurement, receiving, and accounting so exceptions surface early.
- Smarter buy decisions driven by forecasts, service level targets, and supplier constraints.
- Reduced invoice exceptions via automated matching and consistent master data.
- Improved supplier performance visibility and predictable cash planning.
System Flow
A compact view of how operational events and ML intelligence circulate across modules.
Modules
Each module is a first-class part of a single system — not an add-on. Explore the modules below for workflow-level details.
Order Management
Automate order capture, validation, allocation, and exceptions in real time.
Procurement
Predictive purchasing with vendor intelligence, approvals, and document automation.
Logistics & Fulfillment
Proactive shipment control with delay prediction, routing intelligence, and visibility.
Finance & Accounting
Event-linked close with automated postings, reconciliations, and anomaly detection.
Inventory Management
Demand-aware inventory visibility with shrink detection and smarter replenishment.
Machine Learning Hub
Central control plane for models, features, drift monitoring, and safe AI rollout.
Module Overview
A high-level view of what each module is responsible for — with implementation details living on the module pages.
Order Management
Unify multi-channel orders into a single, event-driven workflow. Capture orders from APIs, EDI, and email/PDF sources, normalize into a canonical model, and validate pricing, customer data, credit risk, and fulfillment feasibility.
Procurement
Transform purchasing from reactive work into predictive execution. Use demand signals, supplier performance, and inventory projections to recommend optimal timing, quantities, and vendors — while automating document ingestion and approvals.
Logistics & Fulfillment
Move from reactive tracking to proactive control. Monitor shipments continuously, predict delays, and optimize routing using learned carrier and lane performance — with early warnings before service levels are impacted.
Finance & Accounting
Enable a continuous, event-linked close. Operational events generate journal entries, reconciliation signals, and AR/AP workflows automatically — while AI detects anomalies, margin risks, and reconciliation issues early.
Inventory Management
Make inventory movements transparent, intelligent, and demand-aware. Track inventory with full event context, enabling shrink detection, predictive cycle counting, and smarter replenishment decisions across locations and channels.
Machine Learning Hub
The central intelligence layer of Nexusphere. Manage models, feature pipelines, drift monitoring, and safe rollouts across tenants — ensuring decisions improve as more data flows through the system.
Why This Matters
Traditional ERPs record transactions after the fact. Nexusphere’s AI Modules actively participate in execution — predicting outcomes, recommending actions, and learning from results.
- Fewer manual touches
- Faster cycle times
- Smarter inventory and fulfillment
- Finance that keeps pace with operations
- A system that gets better every day it runs
- Early risk detection across modules