Zenline AI provides AI-driven assortment intelligence for omni‑channel retailers, delivering actionable insights on product mix, pricing, and launch opportunities. The platform combines public data with a retailer’s own data, cleansed and enriched by AI agents, to identify white spots, sell‑out trends, and product relationships. Category teams use these insights to optimize margins and accelerate assortment decisions without needing perfect data.
Funding
Funding not disclosed

Founders
Product
Problem
Retail category teams face challenges in optimizing product assortments and pricing due to a lack of granular insights into market dynamics and shopper behavior. This often leads to missed opportunities for margin improvement and suboptimal product selection.
Solution
Zenline provides an AI-powered platform designed to deliver actionable assortment intelligence for retail category managers. The system leverages public and proprietary data, processed by AI agents, to identify market white spaces, analyze sell-out trends, and understand product relationships such as variants and substitutes. This enables data-driven decisions for optimal pricing, assortment consolidation, and new product introductions. Zenline's approach focuses on enhancing margin and driving shopper-centric strategies, even when initial data is incomplete, by cleaning and enriching available datasets.
Target Audience
The primary target audience includes category teams within retail organizations seeking to optimize product assortments and pricing strategies.
Features
- AI-driven analysis of market white spaces, sell-out trends, and product relationships (variants, substitutes).
- Assortment optimization recommendations for pricing, consolidation, and product launches.
- Data ingestion and enrichment capabilities, starting with public data and integrating proprietary datasets.
- AI models specifically trained for retail assortment decision-making.
- Platform designed for omni-channel retail environments.
- ISO 27001 certification for data security and compliance.