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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 RetailFlux?

RetailFlux’s people counting software provides not only a cost-effective option but also features sophisticated analytical tools that stand out in the market. Utilizing our unique Artificial Intelligence technology, FluxVision, RetailFlux delivers outstanding data accuracy while ensuring minimal implementation expenses thanks to its AI-driven approach. By leveraging standard CCTV cameras, our cutting-edge AI software transforms them into highly accurate and versatile counting instruments. RetailFlux’s people counters also offer distinctive capabilities such as staff exclusion and detailed metrics on occupancy and shopping duration. In the current retail environment, tracking foot traffic and conversion rates has become essential for successful management of physical locations. Analyzing visitor counts in conjunction with sales figures provides crucial insights into the conversion rate, a key performance indicator that helps evaluate store effectiveness and foster business growth. By grasping these vital metrics, retailers can make data-driven decisions that not only elevate the customer experience but also boost overall profitability. Ultimately, the integration of advanced analytics into retail operations empowers businesses to adapt and thrive in a competitive landscape.

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 Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour 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

RetailFlux

Date Founded

2015

Company Location

Norway

Company Website

www.retailflux.com

Categories and Features

Foot Traffic Data

Not specified

Retail Analytics

Not specified

Retail Intelligence

Not specified

Categories and Features

Foot Traffic Data

Not specified

Marketing Analytics

Customer Journey Mapping
Predictive Analytics
ROI Tracking

People Counting

Not specified

Retail Analytics

Not specified

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