# Nextail

> Automate inventory planning and stock distribution for fashion retailers using AI-powered demand forecasting

- **Canonical URI:** https://www.vioscale.ai/software/nextail
- **Category:** Merchandising Planning
- **Homepage:** https://nextail.co
- **Also known as:** nextail
- **Profile claimed by vendor:** no
- **Last updated:** 2026-10-06T22:39:20.736Z

## vioscaleAI score

**41.5 / 100**, confidence 17% (low). Computed 2026-10-06.

Composite of weighted, independently-sourced signals (no user reviews, no vendor payment).

| Signal | Score | Weight | Contribution | Evidence present |
|---|--:|--:|--:|:--:|
| price_level | 0 | 0.105 | 0 | - |
| reliability | 0 | 0.063 | 0 | - |
| capabilities | 81.2 | 0.043 | 3.5 | ✓ |
| integrations | 0 | 0.049 | 0 | - |
| security_posture | 5 | 0.042 | 0 | - |
| pricing_transparency | 0 | 0.094 | 0 | ✓ |

## Pricing

_As of 2026-10-06, [verify at source](https://nextail.co/plans-and-packaging). Independently observed._

Quote-based

| Plan | Price | Free | Commitment |
|---|---|:--:|---|
| Starter | Contact sales | - | - |
| Growth | Contact sales | - | - |
| Enterprise | Contact sales | - | - |
| Developer | Contact sales | - | - |

### Starter (Contact sales)

For retailers with 10–100 stores and €10M–€100M annual revenue. Includes ML demand forecasting, core stock optimization, essential business rules, standard order picking, and business hours support.

- Machine learning demand forecasting
- Core optimization (dynamic stock targets, warehouse scarcity)
- Essential business rules
- Standard order picking files
- Promotions, markdowns & events handling
- Standard training & onboarding
- Business hours support

### Growth (Contact sales)

For retailers with 100–500 stores and €100M–€1B annual revenue. Adds advanced forecasting, operational constraints, coverage period flexibility, store mobile app, and priority support.

- Advanced demand forecasting fine-tuning
- Advanced operational constraints
- Coverage period customization by store
- Store companion mobile app
- Priority support during business hours

### Enterprise (Contact sales)

For complex global networks with 500+ stores and €1B+ annual revenue. Custom forecasting models, continuous retraining, multi-warehouse operations, custom integrations, unlimited scenarios, 24/7 support.

- Custom forecasting models with advanced variables
- Continuous model upgrades & retraining
- Advanced multi-warehouse, multi-bucket operations
- Custom integrations & data feeds
- Unlimited scenario runs
- Custom reporting & analytics
- Dedicated Customer Value Manager
- 24/7 premium support
- SLA guarantees

### Developer (Contact sales)

API access (coming soon). RESTful APIs for forecasting engine, optimization engine, real-time predictions, and allocation optimization.

- RESTful API access to forecasting engine
- RESTful API access to optimization engine
- Real-time demand predictions
- Allocation optimization endpoints
- Technical documentation & SDKs
- Developer support

### Add-ons

- **Additional stores & warehouses**
- **Extra integrations**
- **Analytics consulting**

## About

A merchandise planning platform that uses machine learning to forecast customer demand and automatically optimize inventory allocation across stores and locations, helping fashion retailers reduce waste, improve full-price sales, and minimize manual planning work.

_Independently observed._

## Platform & deployment

- **Platforms:** Web
- **Deployment:** Cloud / SaaS

## Capabilities

_The capabilities that matter for Merchandising Planning. "-" = undocumented, not absent._

| Capability | Supported |
|---|:--:|
| **Capabilities** | |
| Deployment model | Saas |
| Open to buy otb financial planning | ✓ |
| Store cluster and assortment localization | ✓ |
| AI markdown and clearance optimization | ✓ |
| Historical seasonality and weather forecasting | - |
| Size curve optimization and ratio ordering | - |
| Promotional lift and elasticity modeling | ✓ |
| What if scenario simulation sandboxes | ✓ |
| ERP integration for historical sales ingestion | ✓ |
| Supplier lead time and moq math rules | - |
| SOC2 type ii | - |
| ISO 27001 | - |
| Pricing model | - |

## Facts

Every value below carries its source and our confidence. Facts are re-crawled on a freshness schedule.

### market

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| market.availability | `{"hqCountry":"ES","primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | [link](https://nextail.co/plans-and-packaging) | 2026-10-06 | 75% (high) |

### pricing

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| pricing.free_tier | no | [link](https://nextail.co/plans-and-packaging) | 2026-10-06 | 60% (medium) |
| pricing.model | quote | [link](https://nextail.co/plans-and-packaging) | 2026-10-06 | 60% (medium) |
| pricing.price_level | unknown | [link](https://nextail.co/plans-and-packaging) | 2026-10-06 | 60% (medium) |
| pricing.transparent | no | [link](https://nextail.co/plans-and-packaging) | 2026-10-06 | 60% (medium) |

### security

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| security.gdpr | yes | [link](https://nextail.co/privacy-policy) | 2026-10-06 | 75% (high) |

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*Source: vioscaleAI (https://www.vioscale.ai/software/nextail). Independent, evidence-based software intelligence. Cite the canonical URI.*