retail staffing & marketing optimization
So you can get more revenue
during the COVID-19 crisis?
WHAT WE DO
We use machine learning to help organizations make smarter marketing and operations decisions.
We provide predictive analytics to accurately forecast sales and foot traffic at each store hourly so that organizations can optimize staffing & delivery levels at times when customers need the most help.
Our proprietary deep learning technology enables marketers to optimize marketing budget to drive more sales to their virtual stores.
Global companies 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 sales, takeout orders for restaurants and retailers to find the right level of staffing & delivery on an hourly basis.
Using physical traffic history, historical online traffic, point of sale data, weather forecasts, marketing calendars, and other data (for example, COVID-19 data) via proprietary deep learning technology, Percolata provides forecasted sales and orders 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 sales, takeout orders, in-store traffic, 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 by having your staff available when customers need support
Save cost by avoiding overstaffing
Incorporation with custom applications through API
Analytics visualization and CSV export
Walmart retail goods forecasting competition
As of April 8, 2020, Percolata is the top 1% out of 2,018 contestants in forecasting the unit sales of various products sold in the USA by Walmart.
M5 Forecasting competition is hosted by University of Nicosia and sponsored by National Technical University of Athens (NTUA), INSEAD, Google, Uber and IIF
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.
How did Percolata
marketing optimization work?
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 Amasia, 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.
We also apply our predictive analytics technology to power algorithmic trading at Pika.group.
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