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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

The Apparatus Deployment Analysis Module, known as ADAM, serves as a predictive modeling tool that poses "what if?" scenarios by leveraging historical CAD data and GIS map information, combined with a sophisticated projection algorithm, to forecast how deployment modifications will affect response times and resource availability. It meticulously examines the ramifications of changes in deployment to identify the most effective placement for units and personnel. This tool not only assesses the potential outcomes of both temporary and permanent alterations but also operates seamlessly within ArcMap through Esri add-ins. It effectively manages GIS layers stored in geodatabase and shapefile formats while analyzing current workloads against historical CAD data. The CAD Analyst feature within ADAM assesses response performance and communicates its findings through user-friendly graphics, detailed reports, and dashboards, which are essential for creating persuasive budget presentations to local officials. Additionally, it evaluates various deployment alternatives, pinpointing the most advantageous location for a new station while taking into account the specific policies of your department to facilitate actionable and practical planning. This comprehensive approach ensures that decision-makers are well-equipped with the insights needed to optimize resource allocation and improve service delivery.

Description

Planalytics utilizes sophisticated statistical techniques along with artificial intelligence (AI) and machine learning (ML) to analyze extensive sales data and leverage years of unparalleled expertise in retail demand forecasting, thereby enhancing accuracy. An important consideration for any retail organization is the fluctuating demand influenced by weather conditions. To address this, Planalytics offers tailored, localized demand modifications that accurately assess the consumer's interaction with weather patterns. Their analytics, which have been validated in real-world scenarios, are relied upon by retail companies operating across more than 75,000 locations. Retailers have the option to seamlessly incorporate Planalytics into their existing software and AI/ML frameworks as a quick-to-implement value-enhancing layer. This integration represents a swift method to unlock untapped potential from current demand forecasting systems, enabling businesses to reap the financial benefits associated with optimized inventory management, promotional strategies, advertising efforts, markdowns, and additional areas. By harnessing these advanced analytics, retailers can significantly improve their operational efficiency and responsiveness.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

ArcGIS
Logility
Mi9 Retail

Integrations

ArcGIS
Logility
Mi9 Retail

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

DECCAN INTERNATIONAL

Founded

1996

Country

United States

Website

deccanintl.com/what-we-do/adam/

Vendor Details

Company Name

Planalytics

Founded

1996

Country

United States

Website

www.planalytics.com/planalytics-predictive-demand-analytics/

Product Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Product Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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