Shalion - 2026 Pricing, Features, Reviews & Alternatives

Shalion is a cloud-based, web-based digital shelf and retail media intelligence platform that unifies range management, content monitoring, visibility tracking, and retail media analytics into a single system. It covers 2,000+ retailers across 85+ countries, scraping 1,100+ websites daily, monitoring 160+ mobile apps, and aggregating data from 95 food service platforms. Target industries include Consumer Packaged Goods, Food and Beverage, Pharmaceutical, Beauty and Personal Care, Electronics, Toys, and Retail Media Agencies. The platform serves eCommerce teams, category managers, key account managers, media managers, field sales teams, and supply chain managers operating across multiple retailers and international markets.

Core modules include Digital Shelf Maestro for AI-powered workflow execution across retailers and markets; configurable Perfect Store scorecards with daily-updated metrics for availability, content, visibility, price, and reviews; geolocation-based range management with out-of-stock tracking, assortment share, and real-time price and promotion alerts; PDP content compliance scoring with competitor benchmarking and ratings sentiment analysis; and weighted share of voice across organic search, paid ads, and paid placements. The Retail Media Maestro module tracks 500K+ keywords daily, correlates share of voice to market share, and supports shopper segmentation by retailer. Amazon-specific tooling covers Buy Box status, Prime status, third-party seller monitoring, and A+ content compliance. The Outlet Distribution Maestro tracks distribution across 50+ delivery and convenience apps in 60+ markets with outlet-level gap detection and field activation tools.

Shalion's agentic AI engine, Maestro, operates as a conversational interface across all platform data, allowing natural language queries that return SKU-specific, contextual answers without dashboard navigation or data exports. Maestro connects range, content, and visibility data to surface root causes, ranks issues and recommended fixes by projected sales impact, automates recurring workflows such as keyword tracking and competitor monitoring, and generates scheduled competitive intelligence reports. A multi-pipeline data architecture re-processes missed extractions in real time, and embedded Data Quality Audit reporting provides extraction coverage, completeness, and accuracy metrics by retailer. Agentic Engine Optimisation (AEO) technology extends tracking to AI-driven shopping environments. Data collection is configured per brand, retailer, and product scope, with no sampling or market-level extrapolation.