Plan and Manage Your Retail Inventory with AI, End to End

In-Season is the phase of managing stock during the season, when the inventory has already been bought and you have to decide where to place it and how to move it. ROIvolution's In-Season automates those decisions: it calculates the ideal stock by product and store, proposes replenishment from the warehouse, detects where there is surplus stock to transfer it to where it will sell, suggests repurchasing from the supplier and warns of stockouts days in advance.

No. ROIvolution's Pre-Season and In-Season are contracted separately and each one solves a different problem: Pre-Season decides what to buy before the season, In-Season manages that stock during the season. We start with In-Season, because the return is more immediate (replenishment, transfers and stockouts affect this week's sales) and then we add Pre-Season to tackle the root cause: buying better.

A retail inventory management software decides how much stock there should be of each product in each store and when to move it, based on a demand forecast. It differs from an ERP, which records inventory, and from a WMS, which manages warehouse operations: its role is to decide, not to record or store. The most advanced ones, such as Analyticalways' ROIvolution, use AI to forecast demand by product and point of sale.

OTB (Open To Buy) is the purchasing budget a retailer still has available for a season: how much it can still buy, in units and value, without going beyond its plan. It is calculated from opening stock, planned sales coverage, product lifecycle, available stock and orders in progress. ROIvolution calculates it automatically and tracks the deviation between the purchase plan and actual purchases.

WSSI (Weekly Sales, Stock & Intake) is the weekly tracking tool that connects sales, stock and goods intake in order to correct the course of a collection while it is still selling. It allows you to plan the weight of old, new and NOOS collection by category and store, simulate receipts with automatic OTB adjustment and approve coverage changes by role. In ROIvolution it is part of Pre-Season.

Because two stores with the same revenue can sell completely different products. Grouping by revenue or square metres puts together stores that are similar in volume but not in demand, and gives the same assortment to different customers. ROIvolution's Deep Clustering segments by real consumer purchasing behaviour (category, colour, size, price, season and channel) and proposes the optimal number of models for each cluster.

ROIvolution generates a demand forecast by product and point of sale by combining sales history, seasonality, promotions, trends and behaviour by store and channel, with visibility of up to 52 weeks. The forecast is continuously updated with the actual selling pace and the sell-through of the active season, and from it derive the ideal stock of each product in each store, the replenishment proposals and the stockout alerts.

ROIvolution is designed for retailers with a network of their own physical stores, with or without ecommerce, managing wide and seasonal assortments. It is used by more than 200 brands in 15 countries across fashion, footwear, jewellery and watches, accessories and department stores, from small chains to brands with more than 1000 points of sale.

Yes. ROIvolution integrates with the retailer's ERP and POS through API and a daily data reload. It reads sales, stock, orders and receipts in order to decide on them, and returns purchasing, replenishment and transfer proposals so they can be executed in the systems the retailer already has.

No. ROIvolution is a decision layer that relies on them, not a replacement. The ERP records transactions and inventory, the WMS manages the physical warehouse operation and ROIvolution decides how much stock there should be of each product in each store and when to move it. They coexist: ROIvolution consumes the ERP's data and returns proposals that are executed in it.

The return begins in the first season managed. Agatha recovered its investment nine weeks earlier than planned and Blue Banana automated replenishments and transfers in the first month of use. The results documented by Analyticalways range from +€490k of margin impact at Blue Banana to +€930k at Luxenter, with reductions in lost sales of between 20% and 46%.

ROIvolution's AI Agent is a conversational assistant that analyses inventory and sales data and proposes concrete decisions. It diagnoses what is holding back sales in each store, analyses performance product by product, combines both levels to prioritise the highest-impact actions and lets the retailer create their own agents for recurring analyses.