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Some events aren't about ROI. They're about impact. Last month, autone had the pleasure of sponsoring "Women Together" in Paris, an event dedicated to women's empowerment, themed "Stop negotiating your worth." The event was organized by one of our own, an autoner who founded this community, bringing together women to explore the foundations of self-esteem, guided by three inspiring speakers: Perline Grandemange - Queen P., Laure Morlaix, and Mai Linh Vo Dinh. At autone, we're proud to stand behind initiatives that help women grow, connect, and thrive. Thank you to everyone who made it happen, and to every woman who showed up.

The future of planning is not AI taking the wheel. It is planners getting a much better co-pilot. With so many inventory tools slapping AI labels on ''solutions'', we wanted to use our last webinar to make it clear what our Sol agents do and DON'T do. In case you missed it, here's the gist of it. • Sol Analyst = ask questions, get answers. • Sol Planner = understand recommendations, edit parameters, simulate scenarios, and act. Aka: with Sol Analyst, you can ask what happened in the business. What sold last week? Where are we overstocked? Which stores need attention? With Sol Planner, you can start working directly with the plan. You can change planning parameters in plain language. You can simulate what happens if sales increase, lead times change or stock is consolidated in top-performing locations. And then you can decide what to do next. The key word here is DECIDE. Sol Planner is not there to remove the planner from the process. It is there to remove the friction around the process. Read that again. Your planning teams bring the commercial context, the trading instinct and the experience and knowledge of your brand, market and customers. Sol helps them apply that judgement faster, with the right information in front of them. Missed the webinar but curious about Sol Planner? DM our team

Where do you take all the machine learning and maths you spent years studying if you want the work to make a practical difference? For Elifsu, the answer was autone, and more specifically, the retail problems our team is trying to solve every day. As a data scientist, Elifsu works on the models behind our forecasting and planning recommendations. Since joining the team, she has helped improve the accuracy of a machine learning model for products without sales history by more than 50% compared to the baseline. For Elifsu, the best work happens when technical skill, practical impact and team challenge. “Being challenged by the people around you, receiving different opinions and constructive criticism, is the best way to develop your skills and produce something truly good.” Here's to many more challenges, Elifsu.

Retail planning has too many decisions hiding behind too many clicks. In our Sol Planner webinar last week, it became crystal clear just how tedious old-school planning can be. Say you want to change a minimum quantity for a specific product, size or store cluster. So you filter the table, find the right rows, check the coverage, adjust the parameter, sense-check the impact and repeat it for the next group. That many steps is a breeding ground for human error. And that’s before you even get to the ACTUAL decision. This is exactly the friction Sol Planner removes. Instead of clicking your way through millions of product, size and store combinations, you can tell Sol what you want to do in plain language. For example: “Set the minimum quantity to four units for blue T-shirts in size M across my Paris stores.” Sol Planner checks the current stock position, shows the impact of that change, and lets you decide whether to action it. You're not about handing over planning decisions to AI and hoping for the best. The planner stays in control, but actually has MORE control than ever. Missed the webinar? DM our team

Vilebrequin cut replenishment quantities by 15%. And still grew sales by 10% in January, then 10% again in February. When replenishment stops being about pushing more stock into stores “just in case”, and starts responding to actual demand by boutique, big things happen. Read the full case study below in the comments.

We’re thrilled to welcome MAJORICA Jewelry to the autone family. The iconic jewellery brand has officially joined autone to strengthen its Reorder and Replenishment processes. A beautiful brand getting a sharper stock strategy is a great reason to celebrate. Welcome 💙

Meet Silvia, our Growth Lead. The first thing I check every morning? How my clients are using the platform. I'm a little obsessed with the idea of someone opening their laptop and actually being happy to see autone there. That's the bar I hold myself to. My reality: I'm sitting in on buying sessions, translating what an algorithm is doing into something a CEO can act on, and reverse-engineering inventory logic no one thought to document. The moment that stays with me most isn't a contract win. It's a voice note a client sent after a business review: "I finally feel like someone understands what we're trying to do." One sentence. Worth it every time. The work that matters most is often invisible. I once spent an afternoon helping a client tell the right story with their data to their own leadership, nothing to do with our platform. Would I do it again? Without hesitation. One piece of advice for anyone stepping into a CSM role: your job isn't to have all the answers. It's to ask the right questions. The funniest moment? Two minutes delivering what I thought was a brilliant explanation of our forecasting logic. Complete silence. Turns out I was on mute. Apparently the silent version of me is very convincing.

Carel Paris was not looking for a broad “better inventory” solution. The challenge was much more specific: knowing which exact sizes were needed, where, and exactly how much stock the business could reduce without hurting availability. After working with autone, Nouria, Inventory Planner at Carel Paris, shared: “In under three months: service level went up 2 points, stock coverage down 15 weeks. autone gave us size-by-size precision we simply didn't have before.” Looking for a solution that brings precision, not just a flashy dashboard? Check our platform: https://autone.io/contact/

Replenishment is where retail performance is won or lost. Sunspel is now managing it very differently. Across 20 stores worldwide, their teams are moving from periodic reviews and manual decisions to continuous optimisation of stock across the network. We are incredibly proud and excited to support Sunspel in making replenishment a real lever for growth.

Replenishment at Galeries Lafayette Jewelry Division went from half a day to 1 hour a week. 1 month of stock coverage was recovered within one year. Not thanks to magic, but thanks to autone. Their already brilliant team moved from decisions based on historical stock to decisions driven by projected sales, elevated by their own knowledge and experience. Read the full case study: https://lnkd.in/ecnCh6Z4