New York – March 25, 2026 – A global fashion retail leader collaborated with RBMSoft to address the growing complexity of contemporary commerce, where disaggregated data and unstable consumer behaviour can create inventory imbalances.
The client relied heavily on legacy, spreadsheet-driven processes for forecasting, which struggled to capture the real-time shifts in customer demand and buying behaviours of modern consumers. Our AI commerce intelligence layer helps the client to automate decision-making while ensuring the right stock is available at the right time, reducing wastage, and lowering operational costs.
The Challenge
With a vast logistics network of 1,200+ stores and 15 distribution centres operating across three continents, the organization could not strike the right balance among 50,000+ active SKUs. Their traditional system was based on stagnant historical data, so it was unable to respond to real-time market changes, leading to forecasting inefficiencies and an unstable cycle of regular stockouts of high-demand products and expensive overstocks of seasonal products, directly affecting the bottom line and customer loyalty.
Key Requirements of the Client:
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Real-time demand forecasting for SKU-store-day granularity
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Unified inventory visibility
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Automated replenishment decisions
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Dynamic markdown timing
Solution
Built on AWS’ scalable infrastructure, our AI-driven solution unifies data from sources such as sales, web analytics, weather, and local events. This replaces the clunky spreadsheets with dynamic insights and facilitates the client with a real-time forecast at the SKU-store-day level. This granular demand forecasting empowers planners to prevent overstock and stock-outs before they happen.
Unlike a conventional system, our AI system is profit-driven rather than KPI-driven. Thus, we embed a financial optimization engine at the heart of our solution that serves beyond standard metrics. This engine initiates a Trade-off Analysis that calculates the financial impacts of lost sales and holding costs, and, based on this, it prioritizes stocking items with the highest contribution to net profit, ensuring the company isn’t just selling more but earning more.
Our AI-powered system enables the client to continuously monitor stock levels across the network of 1,200+ stores to avoid trapped inventory. When unexpected demand pops up, the system flags which stores are running low and which have excess. It recommends transferring overstocked inventory to locations in need, helping keep inventory balanced.
The AI system helps the client with dynamic markdown management. When the products are near the end of their shelf lives, our AI solution determines the best markdown strategy (the exact moment to lower a price and by how much). This helped the client clear out stock efficiently while making room for new arrivals without taking a hit on revenue.
Together, these capabilities enabled the client to move from reactive planning to a more agile model, keeping shelves stocked and loyalty intact while protecting revenue.
Outcomes
Our AI solutions have not only boosted client operations but also improved product availability from 71% to 94% and reduced out-of-stocks from 15% to 3%. It also supported a massive supply chain network expansion from 80 to 260 locations and ensure 17% boost in fulfillment speed, achieved without the need for extra inventory.
The Director at RBMSoft, Kasi Viswanatham Siva Kumar, said, “When we started, the client was essentially struggling with spreadsheets that were out of date before they were even saved. We have not only fixed the inventory but also created a foundation that fundamentally changes their relationship with data. No doubt that we have hit 94% availability, but the real win is that they now have a system that actually understands the cost of a missed sale versus the cost of a dusty warehouse. That’s how you actually protect your margins in a market this unpredictable.”
About RBMSoft
RBMSoft is a digital product engineering company [https://rbmsoft.com/] that helps enterprises build, modernize, and scale digital products. We bring deep capability across AI, data, and cloud to build future-ready systems. Since 2015, we have helped various enterprises transform how they operate, innovate, and serve their customers through reusable engineering frameworks, automation, and quality-first delivery. We address real enterprise complexity by combining product thinking, engineering discipline, and quality at every stage, so your systems continue to deliver value long after launch.
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Country: United States
Website: https://rbmsoft.com/
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