autone was founded in 2021 by Adil Bouhdadi and Harry Glucksmann-Cheslaw, who spent 13 years in inventory and supply chain roles at Alexander McQueen, Givenchy, Victoria Beckham, and Bergdorf Goodman. After repeatedly solving the same inventory problems across different luxury brands, they built autone to give every retail team access to the kind of AI-powered intelligence that only the largest brands could previously afford.

autone is built for buyers, planners, and merchandisers at fashion, beauty, accessories, furniture and lifestyle brands, from fast-growing independent labels with 5+ stores to international houses operating 100+ locations. If your team is making inventory decisions across multiple stores or channels and those decisions currently rely on spreadsheets or legacy tools, autone is built for you.

autone is headquartered in London and Paris, with offices in Milan, New York, and Abu Dhabi. The company has 60+ team members with expertise across retail supply chain, data science, and AI.

6 key differences:

1. Full transparency - every recommendation shows the AI logic, forecasting calculation, and business impact behind it. Competitors typically produce outputs with no explanation, which erodes team trust and adoption

2. Superior buying and rebalancing - autone's AI-identified product similarity approach to buying forecasts is a clear market differentiator, and the rebalancing module operates at a scale and sophistication that most alternatives don't match

3. Fashion-first domain expertise - built for size curves, seasonality, collections, drops, and replenishment patterns. The autone team speaks the operator's language - merchandising, planning, size run ratios, clustering requirements - which customers consistently cite as a decision factor

4. Faster time to value - 4–6 weeks to implementation versus 3–6 months at most competitors, and 12+ months where custom builds are required

5. Retail-experienced CX team - onboarding is led by practitioners from Alexander McQueen, Chloé, Gucci, Bottega Veneta, Dior, and Balenciaga, not external consultants. They can mirror your current Excel workflows and show a clean transition to autone

Modern platform UX - merchandiser-first, no-code interface that contrasts sharply with legacy systems. Fast, reliable, and designed for collaboration across teams

The result: customers save an average of 45 hours per week and achieve an 8 percentage point increase in service levels.

autone's forecast engine operates at SKU × location granularity and is powered by two proprietary layers:

• Dynamic Taxonomy - automatically classifies products by consumer demand attributes, creating a machine-readable representation of why products sell, not just what they are

• Dynamic Scoring - computes continuous similarity scores between products, so new product demand is forecast in the context of the full assortment rather than in isolation

This solves the cold-start problem that makes new product forecasting notoriously difficult, and the system adapts dynamically without human tuning.

autone is headquartered in London and Paris, with offices in Milan, New York, and Abu Dhabi. The company has 60+ team members with expertise across retail supply chain, data science, and AI.

autone shifts inventory planning from fixed minimum thresholds to demand-driven forecasting at SKU and location level. Rather than applying the same replenishment rules across all products and stores, autone forecasts the specific demand potential of each product at each location and recommends the precise quantity needed to maintain coverage. Best-sellers are replenished before they run out. Slow-moving products aren't over-stocked. The result: an average 8 percentage point improvement in service levels while simultaneously reducing stock coverage by 25%.

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Overstock ties up working capital, consumes storage capacity, and typically results in margin-eroding markdowns at season end. autone customers reduce stock coverage by an average of 25% without any reduction in product availability - freeing capital while service levels simultaneously improve.

autone addresses sell-through across multiple stages of the inventory cycle:

• At buying - the Buy module uses AI-identified similar products to forecast demand potential for each new SKU at each location, so teams buy the right depth on the right products from the start rather than spreading budget too wide

• At initial allocation - the Assort & Initial Allocation module distributes opening stock based on demand potential per store, reducing the misalignment that leads to early stockouts in strong locations and overstock in weaker ones

• In season - the Replenish and Rebalance modules keep best-sellers available throughout the season, capturing the full sales opportunity at full price rather than losing it to stockouts

autone customers increase full-price sell-through rates on best-sellers by up to 20%.

autone connects to existing ERP, WMS, POS, and planning tools via 700+ pre-built, system-agnostic connectors. Integration partners include:

SAP, Oracle NetSuite, Oracle Retail

Microsoft Dynamics 365, Salesforce, Shopify

Anaplan, Blue Yonder, Cegid, NewStore, RELEX

No. The technical team's time commitment during integration is around 4 hours per week, dropping to zero from go-live onwards. Onboarding is led by autone's Customer Experience team - practitioners with backgrounds at Alexander McQueen, Chloé, Gucci, Bottega Veneta, Dior, Balenciaga, and Galeries Lafayette (not external consultants)

No. autone sits as an intelligence layer on top of your existing systems, ingesting your data and surfacing recommendations in its own interface. Your ERP continues handling transactional processing. The two work in parallel, connected via autone's pre-built pipelines.

Yes. autone holds ISO 27001 and SOC 2 certifications. Key security practices include:

• All data encrypted in transit via TLS and at rest with SHA-256 encryption

• No personally identifiable information collected or stored

• Role-based access with multi-factor authentication required

• Regular penetration testing and vulnerability management

• Incident response plan with tested backup and recovery procedures

Yes, and this is one of the most common starting points. autone's Customer Experience team are trained to mirror your current Excel-based workflows and show a clear, low-friction translation to autone processes. Benoa's Co-Founder described the before state as being "buried in 10,000 Excel sheets." Within weeks of going live, weekly rebalancing went from half a day to 1–2 hours.