Demand IQ

The Intelligent Forecasting Engine

From Volatile Trends to Reliable Signals - Mastering Complexity in Demand Planning

How it works

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How it works

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What is Demand IQ?

A self-learning agentic AI engine designed specifically to forecast complex, volatile, and highly intermittent demand patterns. Detects hidden signals in noisy, sparse, or irregular datasets.

Automatically adapts model as new data arrives and integrates external factors (e.g. weather, holidays, social sentiment) to enhance accuracy. It generates a probabilistic forecasts that quantify uncertainty, supporting better risk management.

A self-learning agentic AI engine designed specifically to forecast complex, volatile, and highly intermittent demand patterns. Detects hidden signals in noisy, sparse, or irregular datasets.

Automatically adapts model as new data arrives and integrates external factors (e.g. weather, holidays, social sentiment) to enhance accuracy. It generates a probabilistic forecasts that quantify uncertainty, supporting better risk management.

Traditional tools fail when demand is erratic, seasonal, or sparse

Demand IQ self-learns from sparse and noisy data

Integrates external factors (weather, sentiment, holidays)

Produces probabilistic forecasts to support risk-aware decisions

Continuously adapts to new signals in real-time

Problem

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Problem

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Context & Challenge

Context & Challenge

Modern businesses face volatile, erratic, and highly intermittent demand driven by rapid market shifts and external shocks, promotional impacts and competitive dynamics, complex product assortments and regional variability.

Traditional forecasting tools fail under such conditions, producing unstable predictions, excess inventory, or stockout.

Result? Lost revenue, increased costs, and poor customer satisfaction.

Solutions

Improved forecast accuracy → Even for products with low or erratic sales history

Optimises inventory → Balances availability and cost under demand uncertainty

Faster response to volatility → Models retrain automatically as market signals change

Drives savings in working capital → Reduces excess stock and minimises lost sales

Aligns business teams → Provides explainable forecasts to support trust and adoption

Demand IQ

It goes beyond statistical models to produce self learning: actionable forecasts tailored for high-stakes operational decisions.

It goes beyond statistical models to produce self learning: actionable forecasts tailored for high-stakes operational decisions.

It goes beyond statistical models to produce self learning: actionable forecasts tailored for high-stakes operational decisions.

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Our Platform

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