StayinFront TouchCG vs ZenOwn Shelf Compliance AI

StayinFront TouchCG is a mobile retail execution and selling tool for consumer goods field teams, including sales representatives, managers, merchandisers, van sales and direct store delivery staff. It supports detailed shelf audits and surveys, and managers can capture display and promotion compliance. In-store data and visualizations can support fact-based sales pitches. For orders, a visual shopping cart is paired with AI-driven Suggested Orders that recommend items when appropriate. The perpetual inventory module tracks stock across multiple warehouses, lot numbers and product expiration dates. StayinFront says TouchCG can work with Retail Data Insight and its Digital image recognition technologies. The company’s mobile SaaS solutions have supported Android and iOS devices. A customer testimonial describes offline capabilities for completing tasks during rural visits. TouchCG is paid, and pricing is available by request; the company offers sales contact and demo requests.

ZenOwn Shelf Compliance AI helps brands assess in-store execution using photos of store shelves. Field teams, merchandisers, retailers and crowdsourcing partners can take photos with a phone or tablet; the system identifies products, their positions, categories and prices, then checks the images against brand planogram guidelines. ZenOwn says users receive feedback within five seconds, including guidance on fixes. Field and central teams can follow live dashboard updates with actionable insights. Its recognition covers consumer goods segments as well as pricing and positioning. The product can integrate with a brand’s external or internal technology stack, or with a stack provided by ZenOwn, though the product page names no integration examples. It runs on Android, iOS and the web. Shelf Compliance AI is paid, with pricing on request; prospective customers are directed to contact the team about solutions for their business needs and industry. The maker, ZenOwn AG, is based in Geneva, Switzerland.