Overview

iVendNext Foresight is a forecasting module delivered as part of the iVendNext cloud platform. There is nothing to install. It adds three AI-powered prediction engines on top of the data your business already captures — Stock Ledger Entries, Sales Invoices, Purchase Orders, and GL Entries — and turns that history into forward-looking forecasts for stock demand, customer sales, and financial position.

Because Foresight is part of the iVendNext cloud service, there are no servers to manage, no upgrades to apply, and no technical setup required. Provisioning, scaling, and maintenance are all handled by the iVendNext cloud.

The Three Forecasting Engines

Foresight is built around three distinct engines, each answering a different business question.

The Inventory Forecasting Engine answers: How many units of this item will I consume from this warehouse in the next period, and do I need to reorder? It predicts consumption per item per warehouse, classifies each SKU by movement type, calculates a reorder point and suggested order quantity, and — when configured — drafts a Purchase Order automatically.

The Sales Forecasting Engine answers: Which customers will buy what, and how much revenue will they generate? It predicts quantity and revenue at the customer × item level, scores each customer's buying health, flags those at risk of churning, and — when configured — drafts Sales Orders automatically for high-confidence predictions.

The Financial Forecasting Engine answers: What does my cash position, revenue, expense profile, and balance sheet look like over the next period? It projects monthly cash inflows and outflows from live GL data, breaks revenue down by category, tracks expense variance against actuals, supports Balance Sheet and P&L forecast types, and fires email alerts when numbers move outside safe bounds.

All three engines share a common infrastructure: a configurable scheduler that runs them automatically, a Forecast Sync Log that records every cycle, an accuracy tracker that compares predictions against realised actuals, and a library of fifteen built-in reports.

What Foresight Is Not

Foresight does not make purchasing or sales decisions on your behalf. Every automated action — Purchase Orders and Sales Orders — is created as a draft. Your buying and sales teams review and submit. The human remains in the loop on every transaction.

Foresight does not replace your existing iVendNext workflow. It sits alongside iVendNext Desk. Your team continues to process transactions, manage stock, and handle customers the way they always have. Foresight adds a prediction layer on top.

Foresight does not guarantee forecast accuracy from day one. The engines improve as your data matures. A site with fewer than 90 days of history will produce lower-confidence forecasts than one with 180 days. The accuracy tracker makes this visible over time and flags models that need attention.

Foresight does not connect to external data sources. It uses only the data inside your iVendNext instance.

Data Requirements

For Foresight's predictions to be meaningful, your iVendNext instance needs a sufficient history of clean transactional data. The minimum recommended windows are:

• Stock movement history: 90 days minimum, 180 days recommended. Primary input for the inventory forecasting engine.

• Sales Invoice history: 90 days minimum, 180 days recommended. Used by both the sales and financial forecasting engines.

• Purchase Order history: 30 days minimum, 90 days recommended. Used for supplier performance in the auto-PO logic.

• GL Entry history: 90 days minimum, 365 days recommended for cash flow forecasting.

Below these minimums, the engines fall back to safe defaults rather than producing unreliable predictions. A stock item with insufficient history is classified as Critical with a conservative reorder suggestion until more data accumulates.

How the Engines Improve Over Time

Foresight is not a static tool. The models used by the inventory and sales engines are retrained on a configurable schedule — monthly by default, weekly for manufacturers or high-volume operations. Each retraining cycle incorporates new transaction history, which means forecast accuracy typically improves over the first three to six months of use.

The Forecast Accuracy Tracking feature makes this improvement visible. After every forecast period closes, Foresight calculates how close each prediction was to the real outcome using the formula max(0, (1 − |predicted − actual| / |actual|) × 100) and records an accuracy score. These scores are trended over time, so you can see whether the system is getting better, holding steady, or drifting.

Who Uses Foresight

Foresight is designed for three distinct audiences within a retail or distribution business.

The buying and stock team uses the Inventory Dashboard and inventory forecasting outputs to manage reorder decisions, review auto-drafted Purchase Orders, and monitor which items are at risk of stock-out.

The sales team uses the Sales Dashboard to see which customers are forecast to buy, which accounts are showing churn risk, and where cross-sell opportunity exists based on purchase breadth.

Finance and operations leadership uses the financial forecasting outputs — cash flow, revenue, expense, and balance sheet projections — alongside the Consolidated Predictive Insights and Finance Consolidated Predictive Insights reports to plan ahead rather than react.

Access is controlled by iVendNext's standard role-based permission system. Four roles are available: Foresight Manager, Stock Manager, Sales Manager, and Accounts Manager.