The platform
AI sales forecasting, built for grocery
At Chopp, we’re dedicated to cutting away the waste in the grocery industry. Our innovative AI forecasting technology uses advanced time series analysis to predict grocery sales with remarkable accuracy.
What goes into a Chopp forecast
Six kinds of signal, one sales forecast
Chopp analyses various data points to help grocery stores optimise their inventory. These are the inputs the company names itself.
Signal
Weather patterns
Temperature, rain and sunshine change what people buy and when they shop.
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Signal
Local events
Concerts, matches, markets and festivals bring sudden swings in footfall.
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Signal
Traffic flows
How many people pass a store, and when, shapes the demand it sees.
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Signal
Seasonality trends
Weekly, monthly and yearly rhythms that repeat in sales history.
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Signal
Holidays
Public holidays and festive periods move demand before, during and after.
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Signal
Schedules
Recurring calendars such as school terms and paydays that structure shopping.
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Why time series
Sales history is a time series. Treat it like one.
Every product in every store leaves a trail of sales over time. Time series analysis models that trail, separating trend, seasonal patterns and noise, and then adds outside signals that explain the rest.
Chopp applies advanced time series analysis to grocery sales so stores can see demand coming instead of reacting to it after the shelf is empty or the bin is full.
What it is for
The right products, in the right quantities
Prevent food waste
Order closer to real demand so fewer perishables expire on the shelf.
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Avoid stockouts
Anticipate peaks so customers find what they came for.
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Optimise inventory
Hold the stock you need, not the stock you fear you might need.
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A more sustainable grocery industry
Smarter forecasting is one of the most direct levers on retail food waste.
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Client to provide · Product details
The archived chopp.io site (2024) describes the forecasting approach but not the product itself. Add screenshots, supported data integrations (POS, ERP, ordering systems), forecast horizon and granularity, and pricing model here. None of these could be recovered, so none are stated on this site.
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.