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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 TraxSales?

TraxSales is an advanced solution designed for retail traffic analysis and sales accountability, aimed at helping companies accurately gauge customer interactions and improve performance without relying on increased foot traffic. It employs a camera-based people counting system along with advanced reporting features to capture time-stamped images of everyone entering a store, creating a dependable record of all potential sales encounters. This innovative system allows managers to sift through the collected data, removing entries that are not actual customers, such as employees or delivery personnel, which leads to traffic counts that are more accurate than traditional estimation techniques. Moreover, it integrates this validated traffic information into a comprehensive analytics platform, enabling businesses to track key metrics like conversion rates, revenue per visitor, staffing efficiency, and long-term performance trends. The platform also produces detailed reports that outline traffic trends hourly, daily, and historically, providing organizations with the necessary insights to fine-tune their staffing strategies effectively. By harnessing these insights, businesses can make strategic decisions that significantly improve their operational effectiveness and customer engagement. Ultimately, utilizing TraxSales empowers companies to optimize their resources and enhance the overall shopping experience for their customers.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

WingArc

Date Founded

1986

Company Location

Australia

Company Website

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

Company Facts

Organization Name

TraxSales

Date Founded

1996

Company Location

United States

Company Website

visualproof.traxsales.com

Categories and Features

Foot Traffic Data

Not specified

Retail Analytics

Not specified

Retail Intelligence

Not specified

Categories and Features

Computer Vision

Not specified

People Counting

Not specified

Retail Analytics

Not specified

Retail Intelligence

Not specified

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