Supply Chain Science
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ROI = Return On Inventory?
Too much inventory reduces the return on invested capital, too little diminishes profits. How to optimize ROI?
Sparsity: when accuracy measure goes wrong
Discover what we consider to be the error metrics that wreak the most havoc for sales forecasting.
Out-of-shelf trilemma
Sensibility, precision and latency 3 unfavorable options to be balanced. See how!
How much do you get for 1% extra accuracy?
The gains generated by more forecasting accuracy shouldn't be fuzzy. See how we calculate them.
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.