Percolata Overview

Percolata leverages AI-based people counting technology to assist businesses in adhering to COVID-19 occupancy regulations. This solution utilizes computer vision and machine learning to accurately forecast sales, takeout orders, and in-store traffic on an hourly basis. By analyzing data from security cameras, point of sale systems, and online traffic, Percolata provides a highly accurate forecast that helps retailers and restaurants optimize staffing and marketing efforts. The platform's unique capability to distinguish between individual and group shoppers enhances its precision. Moreover, its Forecast as a Service model offers a forecast accuracy guarantee, setting it apart in the industry. The system also supports campaign mix optimization, allowing businesses to predict and maximize the impact of marketing efforts, ultimately boosting same-store sales.

Use Cases

Customers recommend Forecasting, Funnel Analysis, Campaign Management, as the business use cases that they have been most satisfied with while using Percolata.

Other use cases:

  • Channel Marketing
  • Business Development
  • Measuring Customer Satisfaction
  • Offer Management
  • Content Management
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Business Priorities

Increase Sales & Revenue and Improve ROI are the most popular business priorities that customers and associates have achieved using Percolata.

Percolata Use-Cases and Business Priorities: Customer Satisfaction Data

Reviews

"...They do this by using sensors data to schedule the right number and composition of salespeople to handle the forecasted shopper profiles using proprietary deep learning technology. ...." Peer review

Percolata provides AI-based people counting technology to help businesses comply with COVID-19 occupancy laws. Contact them for solutions in the United States.

Comprehensive Insights on Percolata Use Cases

How can Percolata enhance your Forecasting process?

Case Studies

Apparel & Fashion

CASE STUDY A large Japanese apparel company

Percolata's forecasting improved accuracy by 4 to 9 times, resulting in a 10% revenue increase for the apparel company.

Retail

CASE STUDY A large pharmacy chain in the US

Percolata's forecasting improved accuracy by 2-4 times, boosted revenue by 1.6%, and saved $19,410.06 in labor monthly.

Percolata Features

  • Low
  • Medium
  • High
FEATURE RATINGS AND REVIEWS
AI Powered

3.57/5

Read Reviews (5)
Custom Reports

4.12/5

Read Reviews (8)
Analytics

3.80/5

Read Reviews (6)
CAPABILITIES RATINGS AND REVIEWS
AI Powered

3.57/5

Read Reviews (5)
Custom Reports

4.12/5

Read Reviews (8)
Analytics

3.80/5

Read Reviews (6)

Software Failure Risk Guidance

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for Percolata

Top Failure Risks for Percolata

Percolata Profile

Company Name

Percolata

Company Website

https://www.percolata.com/

HQ Location

3630 El Camino Real, Palo Alto, California US

Employees

11-50

Social

Financials

PRIVATE