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Aramis was leading the industry with fresh luxury fashion styles, but its inventory planning was still ten steps behind. Overstocked slow movers and stockouts of bestsellers meant lost sales and wasted inventory.
With Onebeat’s AI-driven inventory system, real-time demand now drives every allocation, rotation, and store transfer. The result? Higher sales, lower inventory, and no more guesswork.
Now Aramis is always well ahead of the curve when it comes to inventory planning—as well as the latest fashions.
Luxury fashion brands have to walk a fine line between old and new—staying relevant with a steady stream of fresh styles, while keeping classic favorites on the shelves.
Aramis was no different. The men’s fashion brand was leading the industry when it came to sales and fresh styles. But, the brand was struggling to manage its huge variety of seasonal collections across 98 retail stores.
The brand had tried another automatic replenishment system already, but it still couldn’t keep up with the pace of demand. As a result, Aramis was suffering from the same problems it always had: an unbalanced supply chain, excess inventory, and far too many stockouts.
Aramis needed a smarter solution.
With Onebeat’s real-time learning algorithm, Aramis can now predict customer demand for every SKU in every store with pinpoint precision.
Aramis’ inventory planning is no longer reliant on manual, static forecasts. Instead, the team can use AI to anticipate how much each SKU in each store will sell, identifying slow movers and best sellers ahead of time.
Aramis can adapt to the movement of the market, dynamically adjusting replenishment targets in real time based on the latest sales data.
After using Onebeat for just two months, Aramis had already cut inventory of permanent items by more than 20%.
Inventory availability sits at almost 100%—meaning Aramis can take advantage of every chance to make a sale at full price.
By perfectly syncing inventory to market demand, Aramis is now achieving record results on all of its key sales and inventory KPIs.
Aramis replaced its existing replenishment system with Onebeat’s real-time learning algorithm, which makes dynamic adjustments based on actual demand.
Onebeat sends the perfect variety of each product category to the most relevant stores. As a result, customers see a fresh assortment of items regularly—but Aramis never loses a sale due to a product being out of stock.
Decisions like when to rotate long-tail products to another store or liquidate a product are now based on AI-driven analysis of slow movers at the local and global level. As a result, Aramis can optimize the lifecycle of every product to maximize sales.
Using Onebeat’s dashboard, Aramis can monitor store KPIs from moment to moment. They can watch the impact of every inventory planning decision unfold in real time, then use that information to optimize their replenishment and stock rotation even further.
To begin with, Aramis ran Onebeat in ‘assisted mode,’ with the inventory planning team checking each recommendation before it was implemented.
But, the team quickly saw that Onebeat’s AI-powered analysis was driving up sales and driving down inventory prices.
So, after just two weeks, the team rolled Onebeat out in automatic mode—completely replacing manual, human-driven estimates and their previous allocation solution.
Onebeat puts real-time demand at the center of inventory planning, helping brands reduce waste, improve availability, and increase margins.
Let’s move your products where customers want them-right now.
