Crisp Releases Data Modeler For Better Consumer Demand Predictions

Crisp is tapping into real-time analytics in European food buying in the hopes of prediction American consumer behaviors as the pandemic goes on so that food processors can better prepare.

Demand Watch

A new data modeling tool is available from Crisp that leverages real-time European consumer food-buying data to help U.S. grocers and food manufacturers better predict American consumer behaviors during the pandemic. As European countries were impacted by the COVID-19 virus two-to-four weeks ahead of the United States, the real-time grocery data from Europe enables U.S. retailers and food suppliers to forecast what consumer demand will be for their particular products.

By using Crisp’s DemandWatch modeler, U.S. grocers and food manufacturers can easily identify categories of food that have experienced greater or lesser demand and proactively modify their supply chain and production capacity to more effectively meet the demand for specific categories of products in the coming weeks, possibly months. 

Examples of categories being modeled include dry goods, fresh including meat, frozen, dairy, beverages and non-food items such as paper goods. 

The DemandWatch data model is updated in real-time and is free to grocers, retailers, suppliers, brokers, distributors, CPG manufacturers and other organizations along the supply chain. 

“By working with our European customers, we are modeling customer buying behaviors in real time,” said Are Traasdahl, co-founder and CEO of Crisp. “Having this data available and knowing that U.S. behavior is following European behavior at a two to four-week time span is critical for U.S. grocers and food manufacturers as they try to predict demand for categories of food and grocery products, restock shelves and meet the needs of citizens.” 

  AI-Driven Demand Forecasting 

Organizations using Crisp’s demand forecasting platform gain immediate insight into consumer food demand down to the store or SKU level based on a variety of market factors. The platform applies advanced machine learning and AI in order to generate forecasts in minutes, bringing together all available data from sales, inventory, third party marketing sources, and promotions. This helps organizations across the globe create more efficient supply chains and reduce common issues such as food waste, out-of-stocks, and discounted goods, resulting in optimal transactions up and down the supply chain and increased sales, all while reducing global food waste.

Crisp is applicable to specialty and artisan food brands as well as multi-billion-dollar brands. Customers that have realized significant cost savings include Gilbert's Craft Sausages, SunFed Perfect Produce, Nounós Creamery, Hofseth and Superior Farms, among others.