Forecasts are typically produced at the lowest level (per product or per SKU) because that's the data aggregation level your company needs to optimize its inventory.
Multi-sites, multi-channels or massive numbers of SKU are natively supported, as our technology is cloud-native and has been designed to handle an arbitrarily large amount of data (Lokad has received the first Windows Azure Award in 2010). In particular, Salescast can deliver forecasts at the Point of Sales level (even for large retail networks) or at the warehouse level.
Results can also be exported by Salescast directly to your existing IT systems, typically into an SQL database, feeding further automated processing. Excel reports are handy for direct consumption, but re-importing our forecasts from an Excel sheet would be impractical.
Refreshing your report takes 1 click, and can be done anytime. The refresh can even be scheduled and automated. Once refreshing is triggered, it typically takes less than 60 min for Salescast to complete the operation. Since Lokad relies on a powerful computing-intensive forecasting algorithm, we can't deliver results in real time.
Cyclicities, as a generalized notion of seasonality, with recurrent demand patterns within a year (classical seasonality), within a month (paycheck effect) or within a week (day of week effect).
Demand disruptions, such as promotions, stock-outs, outliers, such as uniquely large bulk orders and other business events.
Calendar artifacts such as public holidays and quasi-seasonal effects (Mother's day, Easter, Ramadan, etc.).
Intermittent products (e.g. low sales volume).
And many more.
Most of the forecasting features are not specific of Salescast, but only reflect our core underlying forecasting technology (see also the FAQ for details about patterns natively supported).
Yet, with our fully managed forecasting service, nobody in your company needs any skills in statistics to benefit from all these features. There are 2 and only 2 forecast settings: the period (day, week or month) and the horizon (how many days/weeks/month ahead you want to be forecasted).
Classical solutions require too much manpower and don't scale correctly over hundreds of thousands of products.
Lokad and Windows Azure were exactly the solution my business needed. Pierre-Noël Luiggi, CEO of Oscaro
The Lokad forecasting solution allows us to precisely forecast our sales and to optimize our inventory accordingly.
The result is there: we are maintaining a 99% customer satisfaction level and deliver food that is often fresher than what can be found at local pet stores. Anthony Holloway, CEO at k9cuisine
Lokad improved the accuracy of our planning process significantly. The immediate impact was a stock reduction of almost 1 million € at a monthly cost of 150€. It was almost frightening to see our inventory levels getting so low! But what impressed me most is the ease of implementation and use. The integration was painless, and now it takes only a the click of a button and within 10 minutes I receive my forecast. The time saving for me is significant. Thomas Brémont, Head of Supply Chain Bizline