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What is ShelfWatch?

Experience immediate insights into shelf monitoring tailored for your optimal retail environment with ShelfWatch. This cutting-edge tool adeptly assesses the merchandising conditions of stock-keeping units (SKUs) and provides actionable insights that drive a cycle of continuous improvement, aiding consumer packaged goods (CPG) companies in reaching their ideal store objectives. By leveraging sophisticated Image Recognition technology, it boosts the efficiency of the sales force, offers critical insights into shelf conditions, and encourages further sales growth. ShelfWatch delivers a holistic view of store execution by monitoring various customizable key performance indicators (KPIs) to align with your specific requirements. The mobile application is equipped with image capture functionality that evaluates product positioning and visibility on shelves, featuring advanced capabilities such as blur detection while ensuring compliance with eye-level display standards. Furthermore, it enables image capture in locations lacking internet access, with the capability to upload images once a connection is established. ShelfWatch also integrates effortlessly with multiple Sales Force Automation (SFA) and Distribution Management System (DMS) applications, enhancing its adaptability for retailers. Overall, with its extensive set of features, ShelfWatch empowers retailers to significantly optimize their merchandising strategies and drive operational excellence. Ultimately, this innovative solution stands as a critical asset for any retailer aiming to refine their in-store performance.

What is Captur?

Captur is a cutting-edge computer-vision SDK designed to enable real-time photo validation in mobile apps. By leveraging on-device models, it evaluates images as they are captured, notifying users of potential problems such as blurriness, inadequate lighting, or facial presence, and ensuring compliance with specific criteria prior to upload. This versatile SDK works seamlessly on both iOS and Android systems and can be integrated into projects that utilize Swift, Kotlin, React Native, and Flutter frameworks. Developers can define image requirements using simple business language, allowing Captur to aid users in submitting high-quality evidence for various tasks, including proof of delivery, monitoring micromobility parking, vehicle inspections, and ensuring helmet compliance. The image analysis process occurs offline on the user's device, while the management of policies and model updates can be conducted independently. Moreover, applications can review or modify the results produced by the model, providing flexibility. By focusing on empowering product and operations teams, Captur enhances the development of mobile applications reliant on trustworthy user-generated images, which significantly improves the quality and reliability of submissions. This comprehensive approach not only simplifies the validation process but also enriches the user experience by minimizing the likelihood of erroneous submissions, ultimately fostering greater user satisfaction and trust in the application.

Media

Media

No images available

Integrations Supported

Microsoft Power BI

Integrations Supported

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

Pricing is consumption-based and is sized to expected volume and use case. New customers can start with a paid pilot.

Supported Platforms

Android
iPhone
iPad
Mac

Supported Platforms

Android
iPhone
iPad

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

ParallelDots

Company Location

United States

Company Website

www.paralleldots.com/shelfwatch

Company Facts

Organization Name

Captur

Company Location

United Kingdom

Company Website

captur.ai/

Categories and Features

Computer Vision

Not specified

Retail Execution

Not specified

Retail Intelligence

Not specified

Categories and Features

Computer Vision

Not specified

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