Helios AI
Helios AI provides things.IQ, a decision-intelligence platform that helps independent and multi-location retailers turn scattered sales, inventory, and pricing data into a prioritized weekly action playbook. The platform connects to POS, ERP, and e-commerce systems, delivering ranked recommendations for restocking, repricing, and clearing inventory, each with a dollar-impact estimate. It operates in read-only mode across connected systems, with data hosted in Canada.
- Retail Technology
- Data & Analytics
- Artificial Intelligence
- Software Only
- Commerce & Shopping
Funding
Founders
Founder details are not available yet.
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 a ranked playbook with dollar-impact estimates, 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, particularly those managing multiple store locations, 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
- Generates a weekly playbook ranked by financial impact, covering three decision types: restock (STOCKER), price adjustment (OPTIMISER), and inventory clearance (TIRER)
- Provides store-specific recommendations based on margin, demand, and turnover scores, consolidated for multi-location buyers
- Continuously monitors real costs, competitor prices, and margin targets to suggest pricing adjustments
- Analyzes sales, returns, margin, and supplier lead times to identify SKUs to retain or clear from inventory, including restock alerts when stock falls below supplier lead-time coverage
- 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; data is hosted in Canada