Blue Yonder Success Story

03 Oct 2017 | Share

Using demand forecasts for optimum stock availability

In traditional trade and e-commerce, retailers tend to tread a fine line between increased outof- stock risk and no purchases because margins are too high.

And knowing the optimum stored quantity of a product not only means that shelves are always filled with the correct amount. It also reduces subsequent storage or logistics costs.

To make such important forecasts, retailers need reliable and accurate analyses to make over-stocking and under-stocking things of the past. With its predictive applications, Blue Yonder makes sound business decisions possible.

The company does this by combining the intelligence of its software with the analytical strengths of Exasol.

Takeaways from this Case Study

The Challenge

Generate billions of sales forecasts and assess hundreds of millions of data records a week

Calculate precise forecasts of product needs

Lower administrative costs

The Solution

Database engineered and architected to deliver lightning-fast analytic performance with no data limits

Linear scalability through a combination of in-memory technology, columnar compression and storage, and massively parallel processing

Proven Benefit

Free scalability and quick and flexible adjustments to growing amounts of data

Demand forecasts that are exact to the day, hour, or even minute

Reduced administrative costs with efficient compression algorithms and self-tuning capabilities