Name: Style Arcade
Price: 950 USD
Author: Style Arcade

Help Desk

Web and Video Conferencing

Customer Support

AI Code Generation

AI Development

Cross-Browser Testing

Functional Testing

PHP Frameworks

Development

Online Proctoring Software

Education

Business Intelligence (BI)

Case Management

Collaboration

Contract Analysis

Whistleblowing

Enterprise

Accounting

Financial Planning and Analysis (FP&A)

SaaS Spend Management

Travel Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Time Tracking

Workforce Analytics

Workforce Management

Human Resources

API Design

Change and Configuration Management

Cloud Storage

Cybersecurity Consulting

Data Center Backup

Data Center Cooling

Data Preparation

Data Warehouse

DevOps

Embedded Database

Fraud Detection

Function as a Service (FaaS)

Integration Platform as a Service (iPaaS)

Managed Security Service

Monolithic Frame-based Disk Arrays

Network Performance Monitoring

Requirements Management

Sensitive Data Discovery

User Virtualization

Virtualization Management

Website Hosting

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Content Marketing

Customer Advocacy

Email Marketing

Marketing Automation

Mobile Marketing

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

AI Meeting Assistants

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales Content Management

Sales

Identity Threat Detection & Response Software

Security

Apparel

Aviation

Direct Secure Messaging

Geographic Information

Healthcare Learning Management

Intelligent Document Processing

Mental Health

Practice Management

Simulation

Text Analysis

Vertical-Specific

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Style Arcade is a retail analytics software designed specifically for fashion brands and retailers. According to the vendor, it offers a range of features to assist businesses in making data-driven decisions and improving overall performance. With its visual and intuitive reporting capabilities, Style Arcade caters to small to large-sized fashion brands and retailers. This versatile tool is utilized by professionals such as fashion buyers, category managers, merchandise planners, retail analysts, and e-commerce managers across the fashion industry.

## Key Features

**AI & Analytics**: According to the vendor, Style Arcade provides visual and intuitive retail reporting for the entire business, enabling data-driven decisions. With over 100+ performance metrics, it offers comprehensive omni-channel reporting capabilities.

**Buy Calculator**: The vendor claims that this AI-powered calculator helps fashion brands and retailers order optimal quantities, potentially leading to more full price sales and fewer markdowns. By improving profitability and reducing stockouts, it aims to optimize inventory management.

**Size Calculator**: According to the vendor, Style Arcade's intelligent size demand forecasting aims to ensure accurate sizing, potentially minimizing missed sales opportunities. It provides recommendations for the optimal size ratios, aiming to improve customer satisfaction and reduce returns.

**Tag Manager**: The vendor states that Style Arcade's Tag Manager offers powerful campaign management and conversion boosting capabilities. It automates product tagging for optimized recommendations and aims to enhance shopping feeds, potentially resulting in improved overall performance.

**Range Plan**: According to the vendor, Style Arcade's Range Plan feature offers automated, visual, and collaborative assortment planning. It allows users to track visuals, budgets, and designs in one centralized platform. Customizable to fit specific workflow stages and requirements, it aims to streamline the assortment planning process.

Basic

Viewer

Standard User

Developer

ANTserver

Business Intelligence Accelerator

TARGIT

Bolste

Style Arcade

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BI Platform

Administration via Windows App

Administration via MacOS App

Administration via Web Interface

Live Connection to External Data

Snapshot of External Data

In-memory data model

OLAP (Pre-processed cube representation)

ROLAP (SQL-layer querying)

Multi-Data Source Reporting (Blending)

Data warehouse / dictionary layer

ETL Capability

ETL Scheduler

Supported Data Sources

Data sources that can be consumed by the application.

MS Excel Workbooks

Text Files (CSV, etc)

Oracle

MS SQL Server

IBM DB2

Postgres

MySQL

ODBC

Cloudera Hadoop

Hortonworks Hadoop

EMC Greenplum

IBM Netezza

HP Vertica

ParAccel

SAP Hana

Teradata

Sage 500

Salesforce

Google Analytics

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

Pixel Perfect reports

Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.

Customizable dashboards

Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.

Report Formatting Templates

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

Drill-down analysis

Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.

Formatting capabilities

Ability to format output e.g. conditional formatting, lines, headers, footers.

Predictive modeling

Predictive modeling is the ability to build future forecasting models.

Integration with R or other statistical packages

Integration with the open-source R predictive modeling environment.

Report sharing and collaboration

Report sharing and collaboration is the ability to easily share reports with others.

Report Output and Scheduling

Ability to schedule and manager report output.

Publish to Web

Publish to PDF

Output Raw Supporting Data

Report Versioning

Report versioning is the assignment of version numbers to each version of a report to help in tracking.

Report Delivery Scheduling

Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.

Delivery to Remote Servers

Ability to deliver reports to remote servers

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

Pre-built visualization formats (heatmaps, scatter plots etc.)

Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.

Location Analytics / Geographic Visualization

Location analytics is the visualization of geographical or spatial data.

Predictive Analytics

Predictive Analytics is the ability to build forecasting models based on existing data sets.

Support for Machine Learning models

Machine learning refers to computer programs that can learn when exposed to new data.

Pattern Recognition and Data Mining

Pattern recognition and data mining mean the ability to recognize hidden patterns in large quantities of data.

Access Control and Security

Access control means being able to determine who has access to which data.

Multi-User Support (named login)

Named model access means that users have access based on name and password.

Role-Based Security Model

Role-based access means that access to data is determined by job or position in the corporation.

Multiple Access Permission Levels (Create, Read, Delete)

Multiple access permission levels means that different levels of users have different rights.

Style Arcade

Overview

What is Style Arcade?