Percolata logo

Percolata

by Percolata
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ActiveAvailable globallyCloud
Quick facts
VendorPercolata
Year launchedN/A
StatusActive
Location3630 El Camino Real Palo Alto, California, US
Countries servedGlobal
Languages1
IntegrationsN/A
Free tierN/A
Free trialN/A
Contact salesYES

About Percolata

Percolata is a data analytics platform from Percolata that supports retail businesses in understanding customer behavior. It combines location-based analytics, sales data integration, and demographic insights so businesses can make informed decisions. The platform offers tools for measuring foot traffic, analyzing purchase patterns, and forecasting demand. Users can gain actionable insights that help improve operational efficiency and marketing strategies. Percolata also provides real-time reporting and customizable dashboards for monitoring key performance metrics. Key capabilities: location analytics sales data integration demographic insights real-time reporting customizable dashboards Best for: retail managers and analysts that need to understand customer behavior and improve store performance.

Percolata is a Silicon Valley–based machine learning platform that provides advanced retail staffing and marketing optimization solutions. Designed for retailers, restaurants, and multi-location businesses, it uses proprietary deep learning algorithms to predict hourly sales, foot traffic, and takeout orders with up to 4x higher accuracy than conventional forecasts. The platform’s Forecast-as-a-Service model enables businesses to optimize labor allocation, delivery levels, and marketing spend without requiring in-house data science expertise or hardware installation. By integrating diverse data sources such as security cameras, POS systems, marketing calendars, weather data, and online traffic, Percolata generates predictive analytics that empower organizations to make data-driven operational and marketing decisions. For staffing, it ensures the right employees are scheduled at the right times; for marketing, it determines the most effective campaign mix for maximizing same-store sales. Clients typically report a 10–22% increase in sales and up to 150% ROI while cutting unnecessary labor costs. Percolata’s API allows integration into custom dashboards or existing analytics systems.

Pros & Cons

Pros
  • Delivers highly accurate predictive analytics for retail and marketing decisions.
  • Reduces operational costs by optimizing labor scheduling and staffing levels.
  • Boosts same-store sales and ROI through marketing budget optimization.
  • Requires no additional hardware or complex installation.
  • Offers a unique forecast accuracy guarantee—only pay for correct predictions.
Cons
  • Limited public information on exact pricing tiers or enterprise packages.
  • Requires reliable data sources (POS, traffic counters) for optimal accuracy.
  • May not be ideal for very small businesses with limited data history.
  • Heavy dependence on continuous data flow for real-time updates.
  • Custom API integration may need technical expertise for setup.

Features

Key features

Forecast-as-a-Service – Provides managed predictive forecasting without the need for internal data science teams, delivering ready-to-use insights.
Deep Learning Forecast Engine – Uses AI models to predict sales, foot traffic, and takeout orders with up to 4x higher accuracy.
Staffing Optimization – Helps retailers schedule employees hour-by-hour to match demand, reducing overstaffing or understaffing.
Marketing Budget Optimization – Reallocates marketing spend across channels to achieve maximum same-store sales without increasing total budget.
Data Integration from Multiple Sources – Collects and processes data from cameras, POS, weather, online traffic, and marketing systems.
Guaranteed Accuracy Model – Offers a unique guarantee where businesses only pay for accurate forecasts.
Custom Application Integration (API) – Enables seamless incorporation of forecasts and reports into proprietary or third-party systems.

Additional features

Sales and Traffic Forecasting – Predicts hourly in-store sales and foot traffic for each location.
Takeout Order Forecasting – Anticipates restaurant and delivery demand to optimize staffing.
Machine Learning Model Training – Continuously improves accuracy using historical and real-time data.
Marketing Campaign Simulator – Tests multiple campaign scenarios to determine the best-performing combinations.
Budget Allocation Optimizer – Allocates marketing budgets dynamically across media channels.
Analytics Visualization Dashboard – Displays insights and performance metrics in intuitive visual formats.
CSV Data Export – Allows users to download forecasts and analytics reports for offline analysis.
Custom API Access – Supports integration with internal analytics tools and data platforms.
No Hardware Required – Cloud-based solution that uses existing data streams such as POS and security feeds.
Pay-As-You-Use Model – Flexible pricing structure with no upfront fees or mandatory subscriptions.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
1
Interface languages
13
Billing currencies

Interface languages

English

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇳CNY🇨🇭CHF🇮🇳INR🇷🇺RUB🇲🇽MXN🇰🇷KRW🇧🇷BRL

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