Nextail
Automate inventory planning and stock distribution for fashion retailers using AI-powered demand forecasting
- Also known as
- nextail
Available worldwide
What is Nextail?
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.
Nextail pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Starter
Contact salesFor 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 salesFor 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 salesFor 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 salesAPI 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
What Nextail does
The capabilities that matter for merchandising planning, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- 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
- -
Platform & deployment
Independently observed- Web
- Cloud / SaaS
Nextail alternatives
Other merchandising planning we track, ranked by the same independent score.
- RELEX SolutionsAI-powered supply chain planning platform combining real-time data with forecasting to optimize inventory and demand across retail and manufacturing networkslow · 14%
- First InsightAI-powered platform that transforms retail decision-making through predictive analytics and voice-of-customer insightslow · 7%
- ToolioAI-powered platform that unifies merchandise planning, inventory allocation, and assortment decisions across the retail organizationlow · 32%
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Nextail, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 81 | 0.04 | 3.5 | ✓ |
| Price level | 0 | 0.10 | 0.0 | - |
| Reliability | 0 | 0.06 | 0.0 | - |
| Integrations | 0 | 0.05 | 0.0 | - |
| Security posture | 5 | 0.04 | 0.0 | - |
| Pricing transparency | 0 | 0.09 | 0.0 | ✓ |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Deployment model: saas · Open to buy otb financial planning: Yes · What if scenario simulation sandboxes: Yes · Ai markdown and clearance optimization: Yes · Promotional lift and elasticity modeling: Yes · Store cluster and assortment localization: Yes | mediumsource · 2026-10-06 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | HqCountry: ES · PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-10-06 · 75% |
Pricing
Security
| Attribute | Value | Evidence |
|---|---|---|
| Gdpr | Yes | highsource · 2026-10-06 · 75% |
Is Nextail the right choice for you?
Tell us the job, the constraints and what you weigh most, and we will rank Nextail against the rest of the merchandising planning we index, using the same dated evidence weighted your way.
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