Case Study

sales optimization and prediction

In retail, an accurate inventory forecast is invaluable to give the just in stock and help you avoid stock-outs while maintaining enough product to fill customer demand.

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IN BRIEF

KEY INFORMATION

INNOVATION

Management of uncertainty to improve the results’ actionability​

PERFORMANCE

Optimization of the time to market due to our pragmatic and tailored approch based on our product FlowQast​

FINANCE

An immediate positive impact with
2 indicators: sales increase & annual savings

Challenges

  • Provide an alternative to your current process
  • Deal with different levels of quantities: category, shops, areas, countries
  • Optimize the prediction performance

Solution

  • A Plug and Play solution, ready to use, to minimize time to value (Results available in less than 4 weeks)
  • Through Deep Learning usage, a probabilistic prediction to quantify the uncertainty 
  • Very good performance at the most detailed and expected product/ quantity/store/day level

Gains

  • Performance increase: +15%
  • Annual savings: 800 K€
  • Sales increase: +20%

Testimonial

“I can’t believe it took us this long to make a change. So happy that we did. Numbers don’t lie.”