retail staffing & marketing optimization
WHAT WE DO
We use machine learning to help retailers make smarter marketing and operations decisions.
Our proprietary deep learning technology enables marketers to analyze and forecast which paid marketing channels will drive more sales to their stores. We also provide predictive analytics to accurately forecast the number of shoppers at each store hourly so that retailers can optimize staffing levels at times when customers need the most help.
Global retailers use our solutions to optimize marketing and staffing that boost sales and enhance customer satisfaction.
Our customers experienced a 10% to 20% same-store sales increase by using our solution.
No hardware installation.
Pay only for what you use.
No upfront payment or package subscription unless desired.
The only forecast that offers guaranteed predictions.
You don't pay for forecasts that go wrong.
Percolata offers a fully managed Forecast as a Service solution to predict in-store traffic and transactions for retailers to find exactly the right level of staffing on an hourly basis.
Using physical traffic history, historical online traffic, point of sale data, weather forecasts, marketing calendars, and other data via proprietary deep learning technology, Percolata provides shopper traffic and transaction forecast with 4x higher accuracy than that of existing forecasts, and is the only solution that offers a forecast accuracy guarantee.
Worked hour data
Find range of staffing level
Deliverable: We predict transactions and occupancy hour-to-hour basis per store.
Application: You use it for staffing the right people hour-to-hour basis per store.
Raw data, literally.
We know many retailers don't necessarily nurture engineering capacity to do machine learning
WHAT YOU GET
An average Return on Investment of 150% as experienced by our customers
Increase sales from improving customer satisfaction and prevent understaffing
Save cost by avoiding overstaffing
Incorporation with custom applications through API
Analytics visualization and CSV export
Our technology helps marketers leverage their historical data with current and planned campaigns to predict which campaigns of their multi-channel marketing program will drive more sales.
Higher ROI: that means the marketing spend is more effective.
Increased revenue: using an optimized campaign mix to increase same-store sales.
Why choose Percolata
for your marketing optimization?
Our customers experienced 22% in sales increase by allocating budget with our forecast for Marketing Optimization.
No change in the total budget and marketing content.
Simply allocate budget to media channels that have the most impact on sales.
Run various marketing scenarios based on different constraints and objectives.
Predict sales outcomes of each scenario to optimize your revenue goals.
Our customers have seen impacts in one week using our forecast for Marketing Optimization.
“Percolata is our preferred platform for monitoring and understanding store traffic, conversion rates, and other shopper metrics.”
— Alex Goldelman, VP of Finance and Business Development for Fast Retailing
Backed by leading investors including Andreessen Horowitz, Menlo Ventures, Foundation Capital, Google Ventures, we are a Silicon Valley-based company offering advanced predictive analytics for mid-sized and global retail brands
Our vision is to help retailers with a fully managed service to optimize staffing and marketing. There is no hardware installation and you only pay for correct results
Our solutions have 4x higher accuracy than existing competitors. Customers experienced up to 22% sales uplift while cutting costs by eliminating overstaffing , optimizing inventory and recalibrating marketing campaigns