Nextail provides a cloud‑based merchandise execution platform for fashion retailers that combines AI‑driven demand forecasting, inventory optimization, and automated allocation/replenishment. By processing SKU‑level data in real time, the platform generates actionable recommendations for stock placement, size‑mix, and end‑of‑season rebalancing, helping brands reduce overstock, avoid stockouts, and increase full‑price sell‑through while lowering working capital needs.
Funding
$10M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
1OFounders
Product
Problem
Fashion retailers often struggle with overstock, stockouts, and markdowns because they lack real-time, hyper‑local demand insight and automated inventory decision tools, leading to excess inventory, waste, and missed full‑price sales.
Solution
Nextail offers a merchandise execution platform that integrates AI‑driven demand forecasting, inventory optimization, and automated allocation/replenishment across all points of sale. The platform processes millions of SKU‑level data points in minutes, generating actionable recommendations for stock placement, size and style mix, and end‑of‑season rebalancing. By continuously aligning execution decisions with granular market demand, retailers can reduce overbuy, lower markdowns, and increase full‑price sell‑through while improving working capital. The solution is delivered via a cloud‑based SaaS platform built on Snowflake, with modular solutions such as inventory analytics, rebalancing, and store operations that can be combined for greater impact. Implementation includes data onboarding, training, and ongoing support to ensure rapid time‑to‑value.
Target Audience
Primary customers are fashion apparel, footwear, luxury, and accessories retailers with multi‑store networks seeking data‑driven inventory and merchandising decisions.
Features
- AI‑powered, fashion‑specific demand forecasting that treats each SKU at every store uniquely, handling new items and sporadic sales
- Optimization engine that applies business rules, visual constraints, and logistical costs to generate optimal allocation and replenishment plans
- Continuous inventory rebalancing across stores, warehouses, and channels to extend full‑price sales and avoid end‑season markdowns
- Real‑time inventory analytics dashboards with 15+ KPIs, exception filtering, and customizable reporting for merchandisers and executives
- Scalable cloud architecture on Snowflake enabling rapid processing of billions of data points and unlimited growth of store networks
- Modular SaaS plans (Starter, Growth, Enterprise) with add‑ons such as extra stores, integrations, and dedicated support
- API access (upcoming) for developers to embed forecasting and optimization capabilities into existing systems