autone

autone positions itself as AI-powered retail inventory management for buying, rebalancing, assortment and initial allocation, reordering, replenishment and insights across fashion, cosmetics, accessories, furniture and sport. It emphasizes recommendations combined with merchant intuition and displays named customer testimonials. Repeated aggregate outcome cards render with conflicting labels and values and are not silently harmonized.

The current platform flow ingests warehouse, production, SKU and other business data, generates contextual forecasts and surfaces stock recommendations based on sales and lead times. Six modules cover Buy, Rebalance, Assortment and Initial Allocation, Reorder, Replenish and Insights. The page says modules feed one another and exposes confidence and explanations, but does not document external purchase-order or stock-transfer write endpoints.

The FAQ calls autone an AI operating system for retail inventory, founded by Adil Bouhdadi and Harry Glucksmann-Cheslaw, and reports 80+ brands, 60+ team members, headquarters in London and Paris and offices in Milan, New York and Abu Dhabi. Its ICP is buyers, planners and merchandisers at fashion, beauty, accessories, furniture and lifestyle brands with 5+ to 100+ stores across Europe, North America and the Middle East.

The forecast engine operates at SKU by location, with Dynamic Taxonomy classifying consumer-demand attributes and Dynamic Scoring computing continuous product similarity for new-product cold starts. The FAQ says forecasts adapt without manual tuning, recommends precise quantities, and reports aggregate improvements in service level, stock coverage and full-price sell-through without customer-level cohort or calculation detail.

autone claims 700+ prebuilt system-agnostic connectors to ERP, WMS, POS and planning tools, naming SAP, Oracle NetSuite, Oracle Retail, Microsoft Dynamics 365, Salesforce, Shopify, Anaplan, Blue Yonder, Cegid, NewStore and RELEX. Technical integration is stated as under four weeks and about four customer technical hours per week. The FAQ explicitly says autone surfaces recommendations while the ERP continues transactional processing.

The company claims ISO 27001 and SOC 2 certifications, encryption in transit and at rest, no stored PII, role-based access, mandatory MFA, regular penetration testing, vulnerability management, incident response and tested backup and recovery. The certification bodies, report dates, scopes and public audit documents are not disclosed on the FAQ.

The buyer workflow predicts new-product demand, spots likely winners, recommends buying-budget allocation and supports collections, categories and price-point decisions. The page explicitly says users adjust recommendations for marketing plans, collaborations and creative vision, preserving human decision authority. It does not show price or markdown recommendations or writes.

The demand-planner page says autone guides what, when and where to reorder, replenish, rebalance and buy, adapts forecasts to demand shifts, promotions, holidays and regional events, works at granular size level and plans product quantities up to six months. Recommendations remain presented as guidance for planners.

The distribution-planner product analyzes store performance and local demand, recommends granular allocation and identifies inter-store rebalancing opportunities across thousands of SKUs. Marketing copy says it automates obvious decisions, but no warehouse dispatch, carrier booking or transfer-order system write is documented.

The guide documents product-attribute and visual-similarity inputs, regional demand and real-time sales, continuous SKU monitoring, automatic forecast updates, size-curve and season adjustments, prioritized alerts and suggested store transfers. Rebalancing considers sales probability and transport cost; replenishment considers velocity, size and cash-flow impact. It uses the phrase automated ordering, but the current FAQ separately assigns transactions to the ERP.

The current hub displays customer logos and testimonials for Roberto Cavalli, Benoa, Lancel and Merz b. Schwanen, including quantified revenue, stockout and process-time claims. The proof is vendor-hosted and is normalized case by case rather than promoted to grade A.

The About page names founders Harry and Adil and attributes 13 years of supply-chain experience across Alexander McQueen, Victoria Beckham, Givenchy, Bergdorf Goodman and Alexander Wang. It positions autone as a product that syncs with existing systems and helps human inventory teams buy, replenish, rebalance and restock.

autone recruits referral, solution and technology partners and promises training and support. The page names Cindy Todeschini as Head of Partnerships and displays SOC 2 and ISO/IEC marks. Partner revenue, implementation authority and current named partner roster are not disclosed.

The enterprise buying route is demo-led and collects company, country, email and phone. India appears as a selectable country, but the page provides no Indian office, customer, language, implementation partner or local pricing evidence. Anonymous impact cards lack identifiable customer cohorts and formulas.

The calculator qualifies vertical, annual revenue from €20 million through over €1 billion and point-of-sale count. Its repeated outcome section visibly mismatches labels, values and explanatory text: full-price sell-through +5%, inventory turnover -80% with 7-10% stock-coverage copy, and workload reduction 10% with a three-days-to-two-hours example. The contradictions are preserved.

The policy governs autone.io, describes personal and usage data, transfers, security, service providers and user rights, and lists hello@autone.io. It does not name a legal corporate entity and contains generic or internally inconsistent language, so it is not used to assert the contracting company or product-data boundary.

Generic public terms say some service parts are subscriptions billed in advance on recurring monthly or annual cycles, auto-renewing unless cancelled, with non-refundable fees except where required by law. They disclose no plans, units or numeric amount and do not name a legal entity; enterprise commercial terms may differ.

Y Combinator lists autone as an active Summer 2022 company, founded in 2021, London-based and team size 70, with active founders Adil Bouhdadi and Harry Cheslaw. Its product description says autone ingests retail data, generates recommendations and lets users approve actions, while an embedded older launch mentions product pricing. The current company site no longer lists a pricing module, so pricing optimization is treated as legacy or unresolved.

Autone Trading Limited, company number 13878608, is an active private company incorporated in England and Wales on 28 January 2022, registered at Kemp House, London, with SIC 58290 other software publishing. The exact-domain website does not name this entity, so linkage to the brand is supported by matching founders and filings rather than an explicit web legal notice.

Unaudited small-company accounts for the year ended 31 December 2024 report £32,612 fixed assets, £417,625 current assets, £3,624,155 current creditors, £3,173,918 net liabilities and 20 average monthly employees including directors, versus 10 in 2023. The statement of comprehensive income was not filed, so revenue and annual profit or loss remain unknown. The ultimate controlling party is Autone Holdings Inc, incorporated in the USA at a Delaware address.

Companies House lists Adil Bouhdadi and Harry Eugene Glucksmann Cheslaw as active directors and Cheslaw as secretary. The current persons-with-significant-control register says no registrable person or legal entity after both founders' 27 January 2025 cessations; this does not contradict the accounts' separate ultimate-control statement for US-incorporated Autone Holdings Inc.

The similarly named UK Autone Holdings Limited, company number 13876334, was incorporated on 27 January 2022 and dissolved by compulsory strike-off on 13 February 2024. It is not substituted for active Autone Trading Limited or the US ultimate parent Autone Holdings Inc.

General Catalyst confirms its 2024 investment and founders Adil and Harry, reporting 50+ customers across the US and EMEA at that time. It attributes inventory, forecasting, sales and labor outcomes to autone and says recommendations can be implemented with one click, but does not disclose the investment amount, valuation, stake or transaction-level integration details.

Speedinvest says it led a 2022 investment with Seedcamp and named angels and describes Autone as an operational decision-recommendation platform for inventory, demand, supply planning, pricing elasticity and analytics. The current six-module company surface omits pricing optimization, so that function is historical rather than current shippable evidence. The investor does not disclose round amount, valuation or ownership.

General Catalyst lists autone as an active enterprise and artificial-intelligence portfolio company backed since 2024. It does not disclose financing amount, valuation, ownership percentage or current revenue.

The control register shows both founders ceased as registrable persons with significant control on 27 January 2025 and now carries an active statement that no registrable person or legal entity exists. Historical records show each founder previously controlled more than 25% and no more than 50% after the dissolved UK holding company ceased control in October 2022. Exact current cap-table ownership is not disclosed.

The vendor-hosted named story attributes a 10% revenue increase, 75% stockout reduction, 90% store availability and 66% faster replenishment to autone. It separately calls the 10% revenue result projected, and its three-weeks-to-one-day example does not arithmetically support 66%, so both contradictions are preserved.

The vendor-hosted named story reports a projected 10% revenue lift, 95% faster rebalancing, 83% faster replenishment and a prior €10,000 monthly flagship-store availability loss across a 63-POS network. It alternates between three and 3.5 days for the replenishment baseline and the rebalancing arithmetic is approximately 96.7%, not exactly 95%.

The vendor-hosted named story says Benoa cut weekly rebalancing from as much as a full day to one or two hours and labels that an 80% time saving. It also reports five boutiques, one web store and one central warehouse and gives qualitative claims on deadstock, availability and cash flow without quantified baselines.

This distinct vendor-hosted Cavalli buying story reports a 43% SKU-count reduction from more than 700 to around 400, an 85% buying-cycle reduction from three weeks to three days, stockouts falling from 20% to 5%, and a change from an 80/20 opening-allocation model to 30/70. Approximate and greater-than baselines prevent false precision.

The vendor-hosted named story reports 10+ hours saved per week, 80% faster replenishment, a 10% increase in weighted in-stock rate, 49% unit growth and beauty sales more than doubling. It also states a 95–96% pre-existing demand fill rate, but weighted in-stock and demand-fill measures are not treated as the same baseline.

The vendor-hosted named story reports sales up 10% in January and again in February while replenishment quantities sent to stores fell 15%. It says autone connected nine data flows and launched live replenishment within five weeks; the February comparator is prior year, while the January comparator is not stated.

The vendor-hosted named story reports one month of stock coverage recovered in the first POC year, a fourfold replenishment-time reduction from half a day to under one hour per week, a five-week initial deployment and full-network use of Replenish and Reorder. It explicitly says the prior workflow reinjected checked files into the ERP and that humans still review and adjust decisions.