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.

Challenges

  • Generate billions of sales forecasts and assess hundreds of millions of data records a week
  • Calculate precise forecasts of product needs
  • Lower administrative costs

    Why EXASOL?

      • 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

        Benefits for Blue Yonder

        • 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

        “For us to continually provide reliable analyses, a database with high scalability is imperative.”

        Jan Karstens, CTO Blue Yonder
        Jan Karstens, CTO at Blue Yonder
        References
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