Gain a real-time view
of future shopper demand
What affects shopper behavior before they shop?
Prevedere helps retailers by monitoring external leading indicators that signal future changes in demand. By incorporating external factors into the planning process, retailers can see upwards of 20% improvement in order fill rate by accurately predicting when shoppers will most likely buy.
Key insights for retailers
Case Study: Data-Informed Forecast for Scenario Planning: Multi-Billion Dollar Retailer Prevedere is working with the analytics and finance teams of a leading retail company to provide executive insights, same-store sales forecast, and baseline forecast of major expense line items.
Where the U.S. Economy Currently Stands, and a Tale of Two Recoveries
By Danielle Marceau, Senior Economist - Data updated 9/16/2020 - As COVID cases fluctuate, we are not likely to see consumers return to normal anytime soon.
eBook: How the Retail Industry Can Quantify and Plan for Market Volatility
In the data-driven planning world of retail, basing predictions and forecasts mostly or entirely on internal data is just not going to cut it anymore.
Prevedere Empowers Retail
Validate existing plans and strategies
By understanding future retail product demand 12, 18, and even 24 months in the future, Prevedere’s Retail Solution can provide a benchmark to existing retail plans. With enough lead time and visibility to upcoming headwinds, retailers can work with agencies, manufacturers, finance, and distribution partners to turn a potential down season into a profitable one.
Get a holistic view of shopper behavior
Advertising, pricing, promotions, BOGOs, and coupons, can certainly influence shopper behavior. What happens when these tried-and-true tactics seem to be ineffective. Prevedere helps retailers integrate external factors such as wages, sentiment, or income with performance analytics to gain a 360° view of the shopper and the retail industry in general.
Maximize ROI on marketing spend
Many retailers have to commit to advertising spend, gift with purchases campaigns, or media contracts over a year in advance. Prevedere’s Retail Solution can show when demand is weakest up to 24 months in the future. Armed with this insight, retailers can allocate marketing budget to the months and regions that need it most.
Added to the bottom line
A national convenience store chain added nearly $10 MILLION to the bottom line by using highly accurate models to predict guest count by store.
• Prevedere projected guest counts within 100 guests out of 40k monthly average
• Category managers reduced stock-out situations and reduced safety stock costs
• Metro level factors provided micro-economic outlook