
Percolata is a Silicon Valley-based company providing advanced predictive analytics solutions for retail staffing and marketing optimization. Using proprietary deep learning technology, Percolata forecasts sales, foot traffic, and takeout orders with 4x higher accuracy than competitors, enabling retailers to optimize staffing and marketing budgets to increase revenue and reduce costs. Their Forecast as a Service model offers guaranteed prediction accuracy, charging customers only for accurate forecast hours. Customers have experienced up to 22% sales uplift and significant labor cost savings. The company serves mid-sized and global retail brands and integrates multiple data sources including POS, online traffic, weather, and marketing calendars to deliver actionable insights and ROI of 150%.

Percolata is a Silicon Valley-based company providing advanced predictive analytics solutions for retail staffing and marketing optimization. Using proprietary deep learning technology, Percolata forecasts sales, foot traffic, and takeout orders with 4x higher accuracy than competitors, enabling retailers to optimize staffing and marketing budgets to increase revenue and reduce costs. Their Forecast as a Service model offers guaranteed prediction accuracy, charging customers only for accurate forecast hours. Customers have experienced up to 22% sales uplift and significant labor cost savings. The company serves mid-sized and global retail brands and integrates multiple data sources including POS, online traffic, weather, and marketing calendars to deliver actionable insights and ROI of 150%.
Headquarters: Palo Alto, California
Founded: 2012
Core product: Forecast-as-a-Service for retail: sales, foot traffic, and staffing optimization
Employees (approx.): 13
Total disclosed funding: USD 14,570,000
Retail operations and marketing efficiency—forecasting demand, staffing needs, and campaign ROI.
2012
Retail analytics / Predictive analytics
Last disclosed round per available profiles
“Backed by multiple venture investors including Andreessen Horowitz, Menlo Ventures, Foundation Capital, Google Ventures (GV), and Amasia”