CoSupport AI
ShelfWatch
VS
Arpalus
ShelfWatch
ShelfWatch is a cutting-edge computer vision solution designed to optimize retail execution for CPG and retail brands. It analyzes images of retail shelf displays, generating actionable insights in real-time, enabling data-driven decisions.
The platform provides comprehensive visibility into in-store activities, facilitating immediate corrective actions and enhancing overall retail performance. ShelfWatch seamlessly integrates with existing retail solutions such as SFA, Merchandising, and CRM systems.
Arpalus
Arpalus introduces a novel approach to retail management by leveraging computer vision and augmented reality (AR) technology. Through a dedicated smartphone application, it empowers Consumer Packaged Goods (CPG) companies and retailers to gather, measure, and analyze data directly from physical store shelves efficiently and accurately. The system is designed for immediate product recognition, translating scans into actionable insights for store personnel, thereby enhancing operational efficiency.
This platform aims to significantly improve retail environments by providing real-time visibility into shelf conditions. It helps users independently monitor out-of-stock situations, manage share of shelf, and ensure planogram compliance without relying solely on retailer data. Arpalus facilitates better stock management, timely restocking, and data-driven decision-making, ultimately contributing to increased product availability and potential revenue growth, all while offering a cost-effective solution compared to alternatives.
Pricing
ShelfWatch Pricing
ShelfWatch offers Contact for Pricing pricing .
Arpalus Pricing
Arpalus offers Contact for Pricing pricing .
Features
ShelfWatch
- Customized KPIs: Track brand visibility with KPIs based on the 5Ps of Brand Growth (Product, Placement, Pricing, Promotion, and Proposition).
- Perfect Store Scorecard: Evaluate compliance, field rep performance, and retail partnerships.
- Actionable Insights: Identify gaps in perfect store programs and formulate data-backed strategies.
- Seamless Integration: Integrates with existing retail solutions (SFA, Merchandising, CRM).
- Real-time Analysis: Generates KPI insights from a single image in real-time.
- High Accuracy: Achieves up to 98% accuracy in SKU recognition.
Arpalus
- Real-time Shelf Analysis: Uses computer vision and AR for immediate product recognition and data collection.
- High Accuracy Recognition: Claims industry-leading 98% accuracy in product identification.
- Offline Scanning Capability: Allows shelf scanning without requiring an active data connection.
- Actionable Insights Dashboard: Delivers real-time reports on OOS, share of shelf, compliance, and more.
- Stock Management Assistance: Aids in managing stock levels from shelf to warehouse and reducing OOS.
- Compliance Monitoring Tools: Measures facings, share of shelf, and adherence to planograms.
- Rapid Onboarding: Offers quick setup, potentially up to 1 week per category.
Use Cases
ShelfWatch Use Cases
- Digitized Store Audits
- Promotion and Pricing Compliance
- Planogram Compliance
- Tracking brand visibility
- Measuring Share of Shelf (SOS)
- Assessing On-Shelf Availability (OSA)
- Monitoring new product launches
- Evaluating field rep performance
Arpalus Use Cases
- Monitoring and reducing out-of-stock (OOS) incidents.
- Measuring and analyzing product share of shelf.
- Verifying planogram compliance in retail stores.
- Optimizing in-store execution for field teams.
- Improving overall product availability for consumers.
- Collecting real-time shelf data for CPGs and retailers.
- Enhancing retail operational efficiency.
Uptime Monitor
Uptime Monitor
Average Uptime
100%
Average Response Time
219.7 ms
Last 30 Days
Uptime Monitor
Average Uptime
100%
Average Response Time
123.63 ms
Last 30 Days
ShelfWatch
Arpalus
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