Natural language query assistant
Ask any business question in plain English and get an instant, data-driven answer without building a report or waiting for an analyst. The assistant queries live data across all modules and returns structured insights rather than a list of results to interpret yourself.
AI inventory forecasting & replenishment
Machine learning analyses historical sales patterns, seasonal demand curves, and supplier lead times to calculate optimal reorder points and safety stock levels for every SKU at every location. Purchase requisitions generate automatically when stock trends toward the threshold. The forecast improves continuously as more data accumulates.
AI agents
Autonomous agents monitor the business and act, not just alert. An agent can detect a pending stockout, check supplier availability, generate a purchase requisition, and route it for approval without a human initiating each step. Agents operate within defined guardrails so automation runs where you want it and human oversight stays where you need it.
n8n integration node
A native iVendNext node for n8n lets technical teams connect iVendNext to any external system without writing custom API code. Trigger workflows from iVendNext events, push data to third-party tools, or pull external data back into the platform. The bridge between iVendNext and the broader technology ecosystem.
AI Copilot
An in-context AI Copilot available to staff at any point in their workflow answers process questions, explains system behaviour, and surfaces documentation without leaving the current screen. New staff onboard faster. Experienced staff resolve edge cases without raising a support ticket. Answers are specific to your iVendNext configuration, not generic platform documentation.
Predictive sales & demand analytics
AI-driven forecasting predicts sales trends, inventory requirements, and demand patterns from historical data, giving commercial and operations teams a forward-looking view rather than just a rear-view mirror. Pattern recognition flags anomalies in any module before they become problems.