Hebra AI offers a decision intelligence platform for fashion retailers that ingests data from ERP, PLM, commerce and other systems, transforms fragmented signals into structured inventory and allocation decisions, and guides execution across stores and channels. The platform provides a unified command center, scenario modeling, AI‑driven reasoning and real‑time impact forecasts to help teams detect risk early, optimize stock movement, and protect margins.
Funding
Funding not disclosed
Founders
Product
Problem
Fashion retailers generate large volumes of operational data across inventory, demand, stores, and market channels, but this information is often siloed in dashboards and reports, making it difficult to detect inventory risk early and translate insights into concrete actions.
Solution
Hebra AI provides a decision intelligence platform that ingests signals from ERP, PLM, commerce, and other retail systems, transforms them into structured inventory and allocation decisions, and guides execution across stores and channels. The system surfaces performance risks in a unified command layer, prioritizes actions in a decision queue, and offers scenario modeling to evaluate trade‑offs before moving stock. An AI reasoning engine explains the drivers behind each recommendation and predicts margin and exposure impacts. By linking signals to executable workflows, Hebra enables teams to act faster, align inventory with the best sales channels, and protect margins through data‑driven decision logic.
Target Audience
Primary customers are fashion brands and retailers—including merchandising, planning, allocation, store operations, and wholesale teams—that need to turn fragmented operational data into actionable inventory and channel decisions.
Features
- Compass command center that consolidates revenue, inventory, margin, and demand signals into focus queues highlighting risk across categories and SKUs
- Flow decision engine that creates a prioritized decision queue with recommended movement scenarios, drivers, and impact modeling
- Allocation Workspace for scenario‑based planning, editable movement plans, and real‑time margin and markdown risk updates
- Stitch market opportunity engine that detects demand gaps, scores buyer compatibility, and visualizes external sell‑in opportunities
- Deal Room workspace that packages opportunities, generates buyer‑ready materials, and supports outreach preparation
- Trace lifecycle intelligence providing end‑to‑end supply‑chain transparency, sustainability scoring, and compliance monitoring
- Atelier AI reasoning layer that delivers real‑time explanations, executive summaries, and automated buyer decks across the platform