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Fresh food forecasting

Improve on-shelf availability and reduce food wastage with DSLab's fresh food forecasting
With fresh food, retailers have always faced a trade-off: order too little, and you lose sales; order too much, and you get excess stock and food wastage.

DSLab machine learning technology allows grocers to predict demand for items with a shelf life of 1-7 days more accurately and thus increase on-shelf availability and reduce write-offs. Keep your perishables fresh with DSLab's daily demand forecasting for fresh food.

Always fresh, always in stock, with minimum spoilage

fresh food forecasting
Focus on fresh
Fresh food is extremely difficult to forecast and requires different forecasting approaches. Taking into account all characteristics of perishable goods, we've designed a solution that focuses exclusively on fresh food.
machine learning for demand forecasting
Machine learning
Bayesian methods of machine learning at the core of our solution deliver highly-accurate forecasts allowing you to increase on-shelf availability without keeping excess inventory.
daily demand forecasting
Daily forecast
We deliver daily forecasts for each perishable item on a store level.
business metrics
Business metrics
Instead of focusing on accuracy only, we optimize for business metrics such as write-offs and out-of-stocks.
interval estimations
Interval estimations
Instead of averages, we utilize interval estimations that reveal more information on future demand. It allows you to assess the potential influence of out-of-stocks and write-offs on your business and to make optimal allocation decisions.
data storage
Fewer amount of data
Our approach requires fewer - months rather than years - amount of data to train the predictive model. Forecast demand for new products and recently opened stores when few data is available.
automation of demand forecasting
Our solution allows you to eliminate highly intensive routine tasks, avoid human errors, and fully automate forecasting and replenishment processes.
easy integration
Easy integration
Our solution for fresh food is easily integrated with standard data sources such as Hadoop or SQL-based data storage, as well as replenishment systems.

Potential business effect

Get measurable business value
with DSLab's fresh food forecasting
decrease in write-offs
reduction of out-of-stocks
Contact us to learn more about ML-based demand forecasting for perishable goods and how this can benefit your business
Contact us
Get in touch to see how AI can benefit your business
By submitting this form I give my consent to DSLab to process my personal data in accordance with privacy policy

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