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What is WingArc Retail Analytics?

WingArc Retail Analytics delivers critical insights into consumer behavior, assists in reducing costs, and evaluates the success of marketing campaigns. Leveraging your existing security camera infrastructure, you can track foot traffic patterns and generate heat maps that highlight areas of customer engagement across the store. This system, when integrated with Point of Sale data, enables you to analyze key metrics such as capture rates, conversion rates, and average transaction amounts. Furthermore, it allows you to develop employee schedules that are informed by accurate traffic predictions, promoting optimal resource allocation and enhancing sales potential. With its interactive dashboards and automated reporting capabilities, you gain valuable clarity regarding your store's operational performance. This comprehensive retail analytics platform equips physical retailers with robust tools to dissect in-store customer interactions, granting them a competitive advantage akin to that enjoyed by e-commerce businesses. For the first time, you can analyze data to uncover insights about both current and potential customers, paralleling the analytical depth found in online retail environments. By utilizing your pre-existing security camera system, you can gain a thorough understanding of customer movement in every direction, thereby providing a holistic perspective on both transient foot traffic and shoppers who enter your establishment. This innovative approach not only enhances operational efficiency but also drives strategic decision-making in real-time.

What is Retail Report?

Our comprehensive software for retail analytics and shopping center management brings together all your communications and information within a unified hub. This platform, which can be accessed through any web browser from anywhere in the world, enables users to boost performance, enhance sales results, simplify marketing efforts, and manage tenants efficiently with minimal effort. The collection of sales data is made more efficient through automated phone calls, text messages, emails, or retailer self-submission via a dedicated portal, complemented by our top-tier managed sales data collection service. Each retailer has their own self-service management portal, which allows them to track and report their performance, interact with management, access essential documents, stay informed, organize events, and more. Our Retail Report algorithms are specifically designed to validate your data, issuing alerts when any numbers fall outside of expected parameters. By decreasing dependence on spreadsheets and centralizing your data, the potential for errors is greatly reduced, leading to improved overall efficiency. With these capabilities in place, your team can devote more time to strategic decision-making rather than getting bogged down in administrative tasks, thereby fostering a more proactive business environment. Additionally, the integration of these features creates a seamless user experience that enhances collaboration and communication among all stakeholders involved.

Media

Media

Integrations Supported

Integrations Supported

Springboard

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

WingArc

Date Founded

1986

Company Location

Australia

Company Website

wingarc.com.au/industry/retail-analytics/

Company Facts

Organization Name

Retail Report

Date Founded

2015

Company Location

United Kingdom

Company Website

www.retailreport.com

Categories and Features

Foot Traffic Data

Not specified

Retail Analytics

Not specified

Retail Intelligence

Not specified

Categories and Features

Retail Analytics

Not specified

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