Name: Disruptive Retail Intelligence Platform
Author: Disruptiva

Customer Training

Help Desk

Web and Video Conferencing

Customer Support

Cross-Browser Testing

Feature Management

Product Analytics

Virtual Reality

Development

Business Intelligence (BI)

Collaboration

Contract Analysis

Emissions Management

Payment Facilitation

Workflow

Enterprise

Accounting

Accounts Receivable

CTRM

Travel Management

Treasury Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

API Management

Change and Configuration Management

Cloud Migration

Cloud Storage

Configuration Management

Data Deduplication

Database-as-a-Service (DBaaS)

Fraud Detection

Game Engine

Integration Platform as a Service (iPaaS)

Managed Public Cloud Infrastructure

Migration

Mobile Data Security

Mobile Identity

Network Performance Monitoring

SaaS Management

Sensitive Data Discovery

Software Composition Analysis (SCA)

Time Series Databases

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Content Marketing

Email Marketing

Marketing Automation

Online Reputation Management

Social Media Management

Social Media Publishing

Survey & Forms Building

Web Analytics

Marketing

AI Meeting Assistants

Project Management

Task Management

Professional Services

Customer Relationship Management (CRM)

Lead Generation

Sales Enablement

Sales Incentive Compensation Management

Sales Performance Management

eCommerce Analytics

Sales

Cloud Infrastructure Entitlement Management

Intrusion Detection

Security

Aviation

Banking

Geographic Information

Insurance Agency Management

Insurance Claims Management

Physical Therapy

Vertical-Specific

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The Disruptive Retail Intelligence Platform, developed by Disruptiva Retailtech, is a solution aimed at optimizing the management and increasing the operational efficiency of retail stores. It is utilized by retail managers, store owners, franchise managers, operations managers, and sales managers across various industries.

## Key Features

**BI - Retail Analytics**: According to the vendor, the Disruptive Retail Intelligence Platform offers a cloud-based solution that allows retailers to organize and analyze store data in a cognitive way. It provides four different solutions within the Retail Intelligence ecosystem, enabling users to understand and optimize their data easily.

**CRM - Retail Upsales**: The Retail Upsales feature enables retailers to leverage customer data to generate revenue and increase customer loyalty. The platform provides customer data, segmentation, and purchase profiles, along with pre-built message templates for efficient and personalized communication with customers.

**EaD - Retail Learning**: According to the vendor, the Retail Learning feature offers exclusive video lessons by retail experts. It provides users with a complete environment to access educational content and improve their retail knowledge. Retailers can transform their data into precise strategies and enhance store performance.

**IA - Retail Assistant**: The Retail Assistant feature utilizes artificial intelligence to send alerts and suggestions for improving operational results. According to the vendor, it keeps users updated on their store's performance by providing important indicators, alerts, and recommendations for improvement. The platform is accessible on both Android and iOS devices.

**Interactive Showcase**: The Interactive Showcase feature allows customers to interact with the store's products through a touchscreen display. It offers browsing capabilities, product availability checks, and similar product suggestions, enhancing the customer experience and engagement.

**Wi-fi + Analytics**: The Wi-fi + Analytics feature provides customers with free Wi-fi in exchange for their personal information. According to the vendor, this allows retailers to collect data and analyze customer behavior and preferences. It offers insights into customer interactions, optimizing store layouts and campaigns, and enabling personalized promotions and offers.

**Smart Shelf and Showcase**: The Smart Shelf and Showcase feature uses cameras and screens to enhance the customer experience. It identifies the products customers interact with and displays additional information, such as nutritional facts or related items. According to the vendor, this feature helps customers make informed purchasing decisions and suggests complementary products.

**Integration with E-commerce**: The Integration with E-commerce feature allows customers to make online purchases directly from the physical store. If a desired item is not available in-store, customers can order it through the brand's e-commerce platform, ensuring a seamless shopping experience and increasing customer satisfaction and loyalty.

**Self-checkout**: The Self-checkout feature enables customers to pay for their purchases without assistance from store staff. It integrates RFID chip readers, credit card readers, and computers, reducing waiting times and enhancing the overall shopping experience. According to the vendor, this feature is particularly useful in supermarkets, department stores, and fast-fashion retailers.

Viewer

Standard User

Developer

ANTserver

Business Intelligence Accelerator

TARGIT

Personal

Team

Department

Organization

Clear Analytics

Disruptive Retail Intelligence Platform

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Disruptiva

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.

Disruptive Retail Intelligence Platform

Overview

What is Disruptive Retail Intelligence Platform?