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Guides to forecasting and food waste
Short, accurate guides to the ideas behind Chopp: forecasting, inventory and food waste in grocery.
What is demand forecasting?
A plain-language introduction to demand forecasting in grocery retail: what it is, why it matters for food waste and stockouts, and how AI changes it.
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Time series forecasting
How time series forecasting works for grocery sales: trend, seasonality, residuals, external regressors and validation.
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Food waste in grocery retail
Published figures on global food waste, the share that happens in retail, and why ordering accuracy matters.
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Stockouts explained
What a stockout is, why it happens in grocery retail, and how forecasting helps avoid empty shelves.
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Perishables and shelf life
Why shelf life determines the cost of forecast errors in grocery, and how perishables differ from ambient products.
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Forecast accuracy metrics
MAPE, WAPE, bias and RMSE explained for grocery sales forecasting.
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Safety stock and replenishment
How safety stock, lead times and replenishment cycles interact with sales forecasts in grocery stores.
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The food waste hierarchy
Prevention, redistribution, animal feed, recycling and disposal: the food waste hierarchy and where forecasting fits.
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Food waste targets and regulation
SDG 12.3 and the EU’s 2030 food waste reduction targets explained for grocery retailers.
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AI in grocery retail
Where artificial intelligence is used in grocery retail today, with a focus on demand forecasting and food waste.
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External data in forecasting
How external data such as weather, events, traffic and calendars improves retail sales forecasts.
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Ready to cut away the waste?
Tell us about your store or chain, and we will show you how AI sales forecasting can help you order the right products in the right quantities.