Demand Forecasting & Replenishment

Improve Market Responsiveness and Inventory Turn

Algorithms forecast a variety of products with different demand patterns

Forecast senses changing market conditions utilizing internal and external data sources to fulfill and replenish orders

User Interface highlights where additional attention is required, improving productivity, increasing adoption, and lowering overrides

AI models easily consume nearly limitless data sources empowering precision and market responsiveness

Single, accurate demand signal unifies predictions across enterprise functions

A More Accurate Forecast

Many retailers struggle to decipher explainable data within the noise of their historical data. Yet even those that do, many still fail to gain the full value from their demand predictions if they aren’t used throughout their merchandising and supply chain processes

In this short video presentation, Nicholas Wegman PhD explains how to overcome these challenges.

Watch the 1-minute summary video.

Demand Forecasting in Omnichannel Inventory Optimization

If you can’t understand demand drivers and impacts, you can’t anticipate the right actions.

An accurate, common demand engine, that evaluates all demand drivers to produce a Unified Demand Signal is the heart of omnichannel inventory optimization.