Machine learning-based

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. 

ECONOMIC

Our customers experienced a 10% to 20% same-store sales increase by using our solution.

COST-EFFECTIVE

No hardware installation.
Pay only for what you use.

No upfront payment or package subscription unless desired.

GUARANTEED

The only forecast that offers guaranteed predictions.

You don't pay for forecasts that go wrong.

 

Read more >

Wonder How accurate

forecasts

can help your business?

Read more >

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STAFFING OPTIMIZATION

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.

Data source

Security cameras

POS

Online traffic

Marketing calendar

External data

Worked hour data

Computer Vision 

Forecast 

demand

Normalize forecast

  • Count shopper traffic

  • Distinguish employee

  • Identify individual vs. group shoppers

  • Sales

  • Takeout orders

  • In-store traffic 

Find range of staffing level

Output

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.

WHAT YOU GIVE
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
 

Apparel 

An apparel company experienced 10% sales uplift while maintaining the same labor budget by using our Staffing Optimization

Pharmacy

A drugstore company saved $19k in labor costs per month by using our Staffing Optimization

Top 1%

Walmart retail goods forecasting competition

OUR PERFORMANCE

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

 

MARKETING OPTIMIZATION

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?

POS

Google Analytics

Input

  • Train  predictive model

  • Check accuracy rate

  • Forecast future sales

  • Forecast sales of various campaign mix scenarios

  • Determine which campaign mix maximize same-store sales

  • Future campaign simulator

  • Campaign schedule & budget allocation optimizer

Output

Why choose Percolata

for your marketing optimization?

Robust

optimization engine

Our customers experienced 22% in sales increase by allocating budget with our forecast for Marketing Optimization.

 

actionable

solution

No change in the total budget and marketing content.

Simply allocate budget to media channels that have the most impact on sales.
S

scenario analysis

Run various marketing scenarios based on different constraints and objectives.

Predict sales outcomes of each scenario to optimize your revenue goals.

Quick result

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

 

MEET PERCOLATA

OUR STORY

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

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 TECHNOLOGY

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

 

HAPPY CLIENTS

GET IN TOUCH

Tel: +1 650-308-4980

3790 El Camino Real, #2012
Palo Alto, CA 94306, United States

 
 

PARTNERS

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FEATURED IN

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Have a question for us?

 
LINKS
SOCIAL
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© 2020 by Percolata Corporation