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What is Store360?

Store360 is a cutting-edge retail execution platform driven by artificial intelligence, created by Vision Group Retail, which provides brands and retailers with real-time insights into in-store activities. Through a mobile application, field representatives can capture shelf images, instantly receiving data-driven information about product assortments, pricing tactics, promotional efforts, and product arrangement. Utilizing advanced image recognition technology, Store360 accurately identifies products at the SKU level, highlights compliance issues like stock shortages and display irregularities, and suggests corrective actions before representatives leave the store. Furthermore, it automatically monitors critical retail KPIs, including shelf share, adherence to planograms, and product availability on shelves. The platform features customizable dashboards that improve visibility for various stores, representatives, and retail partners, facilitating a thorough understanding of performance indicators. By replacing outdated manual audits, Store360 enhances data collection and analysis processes, which leads to improved accuracy and faster decision-making across vast retail networks. This innovative solution ultimately enables retailers to optimize their operations more effectively, driving enhanced business performance.

What is Shelf-OS?

Our cutting-edge Shelf Operating System (SHELF-OS) enables retail managers to improve profit margins while also increasing customer satisfaction. By leveraging real-time data regarding on-shelf inventory levels, we implement precise actionable workflows tailored to address and monitor required corrective measures. Retailers often struggle with product overstock, especially for items that do not sell quickly, leading to an estimated loss of 2-4% in sales for each store. According to recent research from the IHL Group, the combination of out-of-stock (OOS) scenarios and overstocks results in a staggering financial loss of around $253 billion for North American retailers. Our strategy involves ongoing, non-invasive data gathering through state-of-the-art 3D sensor cameras, which provide real-time stock audits that reveal whether inventory is full, low, or depleted. We guarantee compliance with planogram standards, check product pricing, and manage merchandising services, along with performing audits on point-of-purchase marketing materials. With automatic notifications for refacing and replenishment tasks, we enhance communication among all team members—including associates, managers, and service providers—via SMS and WhatsApp. Furthermore, we offer a prioritized list of alerts for tasks, ensuring that essential operational needs are met with vigor. Ultimately, SHELF-OS transforms the landscape of retail management by integrating advanced technology to refine processes and elevate the overall shopping experience for customers. As a result, businesses can operate more effectively and respond more swiftly to evolving market demands.

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

$399 one-time payment

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training

Training Options

Not specified

Company Facts

Organization Name

Vision Group Retail

Company Location

United States

Company Website

visiongroupretail.com/products/store360

Company Facts

Organization Name

Akcelita

Date Founded

2014

Company Location

United States

Company Website

www.akcelita.com

Categories and Features

Computer Vision

Not specified

Image Recognition

Not specified

Retail Analytics

Not specified

Retail Execution

Not specified

Retail Intelligence

Not specified

Categories and Features

Inventory Control

Item Management
Serial Number Tracking

Planogram

Not specified

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