Helios AI
Helios AI offers things.IQ, an AI-powered retail intelligence platform that centralizes sales, inventory, and trend data from POS, ERP, and e-commerce systems to deliver actionable merchandising recommendations. The platform answers weekly questions about which SKUs to keep, promote, and reprice, and includes a benchmarking feature that compares a retailer's margins and velocity against anonymized, cross-retailer category percentiles. Built for independent merchants, things.IQ operates in read-only mode, sending recommendations to authorized staff rather than writing changes directly into connected systems.
- Artificial Intelligence
- Data & Analytics
- Commerce & Shopping
- Retail Technology
- Software Only
Funding
Founders
Product
Problem
Independent retailers often lack the analytical resources of large chains, leaving them to rely on intuition when deciding which products to stock, promote, or reprice. Their sales, inventory, and supplier data are scattered across POS, ERP, and e-commerce systems, making it difficult to identify underperforming SKUs, optimize margins, or spot market trends in a timely manner.
Solution
things.IQ is a centralized AI platform that connects to a retailer's existing sales, inventory, and web analytics systems, unifying this data to deliver clear, weekly recommendations. The platform addresses three core operational questions: which products to keep in stores, which to promote each week, and which to reprice based on real costs, competitor pricing, and margin targets. It analyzes sales, returns, margin, and supplier lead times to flag slow-moving SKUs and identifies the best product mix for each store location. Recommendations are surfaced through dashboards and alerts, allowing merchants to make data-driven decisions and apply them manually in their own systems.
Target Audience
Primary users are independent retailers, merchandisers, and store owners in Quebec and Canada who want to improve product assortment, pricing, and inventory decisions using data-driven insights.
Features
- Integrates with 12+ systems including Shopify, Adobe Commerce, Lightspeed Retail, Square POS, SAP Business One, Microsoft Dynamics 365, WooCommerce, NetSuite, and Google Analytics 4
- Analyzes sales, returns, margin, and supplier lead times to identify SKUs to retain or clear from inventory
- Provides store-specific recommendations on which products to feature based on a combined margin, demand, and turnover score
- Continuously monitors real costs, competitor prices, and margin targets to suggest pricing adjustments
- Generates AI-powered purchase order suggestions based on historical sales data
- Offers anonymized, aggregated benchmarks across multiple retailers to compare margins, prices, and velocity by category, with a minimum of three contributing retailers per cohort to prevent re-identification
- Operates in read-only mode across all connected systems, with all actions remaining manual recommendations that authorized staff execute