Supply Chain Science
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Optimal service level and order quantity
Discover the two formulas that we developed to help you make the most of these two concepts.
Big data in retail, a reality check
Due to manpower constraints, retailers do very little of their market basket data. Learn what Big Data can do.
Out-of-shelf can explain 1/4 of store forecast error
OOS can do a lot worse that just degrade the forecasting accuracy, OOS can also improve it...
Seasonality illustrated
Long time-series are more visual and appealing. Lokad opposes instead short time-series - discover why!
Two KPIs for your OOS detector
Discover why sensibility and precision are the two fundamental metrics when judging an OOS system.
Business is UP but forecasts are DOWN
Learn how to reverse your thinking and go against what seems logical for more accurate demand forecasting.
New Forecasting Technology FAQ
Discover our new FAQs covering the topics of seasonality, trend, product life-cycle, promotions and more.
Fallacies in data cleaning for (short-term) sales forecasts
Learn why Lokad does not provide any explicit feature supporting data cleaning.
Reverse supply chain gotcha for demand forecasting
Understand why we strive to deliver demand forecasts rather than sales forecasts.
Shortage vs. Stock, forecasting accuracy matters
The relationship between service level, safety stock & forecasting accuracy is sometimes fuzzy. Let's clarify.