SKUtrak® Forecaster is available for Co-op suppliers


Atheon Analytics announces SKUtrak® Forecaster, a Visual Analytics solution that enables a detailed, collaborative and transparent approach to managing FMCG order forecasts.

SKUtrak® Forecaster provides suppliers with detailed reporting, interpretation and analysis of daily retailer order forecasts where these are made available to suppliers.

Cranfield, UK -  Atheon Analytics, the UK grocery data analytics specialist, today announces the latest addition to its ‘flow-of-goods’ visual analytics platform: SKUtrak Forecaster, facilitating a transformation in the way grocery suppliers access and consume order forecast data.

Guy Cuthbert, CEO, Atheon Analytics, explains: “Forecasting is key to driving quicker and better decisions, minimising cost and maximising availability. Yet despite emphasis and guidance from the Grocery Code Adjudicator (GCA) on the topic - and the increasing amount of data now available - there remains a huge amount of confusion over what is meant and few examples of best practice.”

“Atheon has developed SKUtrak Forecaster to help the industry drive better, more efficient, less wasteful supply chains by delivering the information that suppliers need, in a format that they can use. This means accurate, consistent, frequently updated, and provided in an accessible tool that suppliers can quickly embed within their decision making processes.”

SKUtrak Forecaster is an addition to the SKUtrak Premium flow-of-good analytics platform, augmenting the service’s free offering that provides daily alerts to changes in order forecasts. Forecaster offers suppliers the exact reporting of a retailer’s forecast data over a selected time period; context to how these forecasts relate to current stockholding and performance drivers; and a visual representation of the historical accuracy of the retailers’ forecasts. SKUtrak Forecaster is initially available for all Co-op suppliers.

Guy Cuthbert concludes: “Growing numbers of retailers are making the necessary data available to improve the order forecast. Using best-practice visual analytics tools and techniques, supply-chain and sales data can be blended to highlight indicators for demand, such as sales spikes or low-depot stocks, and provide an easily understood picture of recent and historic sales patterns. The benefits are both significant and immediate – increasing the accuracy of forecasting will drive performance improvements at every stage of the grocery flow-of-goods.”

Callum Harrison