Predict Occupancy
Feature

Anticipate how busy your locations will be—before it happens. The Predict Occupancy feature uses historical data and usage trends to forecast station occupancy, helping you plan capacity, reduce congestion, and improve the charging experience for users.

All your data live
in one dashboard.

Forecast Properties

Review the key assumptions and variables that drive occupancy forecasts. Adjust these properties to fine-tune predictions and align them with your operational context.

Variables

Define the key variables that shape each prediction. By adjusting these inputs, you ensure that our models stay grounded in real-world conditions while giving you the flexibility to test multiple strategies and scenarios with precision.

Boundaries

Set limits and constraints within your occupancy models to reflect real-world conditions. Defining boundaries ensures forecasts remain realistic and actionable.

Components and Functionality

Cloud and On-prem

Use the same processes to scan data in all locations.

Distributed Scanning

Use satellite scanning nodes to process data in residency regions or cloud locations.

Read more about our Data Security Platform and core technologies

Explore DSP

Virtually no false positives.

DataStealth is built for enterprise. With fast and easy integration that’s as simple as updating your DNS.

Data Lineage

Classification of not only where sensitive data is located, but also related objects and copies.

API, Demand, or Scheduled

Initiate scans via API integrations, on-demand, or scheduled to run off-hours or on a regular schedule.

Integrations

Stop flying blind.
See what's really happening.

Based on historical data, our platform incorporates predictive analytics to forecast demand. Taking the next step forward with forecasting tools, gives you competitive advantage for sustainable growth.