We empowered a leading ecommerce brand to drive growth by enabling data-driven decisions
The Results
The Execution
The customer is a dynamic venture transforming India’s fashion and lifestyle landscape. With a visionary approach, the company is on a mission to build the nation’s leading House of Brands, driving growth and innovation in India’s direct-to-consumer (D2C) market.
The client’s supply chain team relied on manual forecasting and inventory replenishment processes, resulting in a 300% increase in working capital tied up in inventory beyond established buffer levels.
Excess inventory placed a significant burden on the supply chain team and increased warehouse operating costs. The client needed a more efficient, data-driven approach to demand forecasting and inventory planning to optimise stock levels, reduce overstocking, and minimise warehousing expenses.
The Solution
1 Analysis of historical sales trends, seasonality patterns
ADA implemented a data-driven inventory optimisation and demand planning framework to address excess inventory, unlock working capital, and support the client’s rapidly growing direct-to-consumer (D2C) portfolio.
The solution began with an analysis of historical sales trends, seasonality, SKU-level performance, and channel demand to develop accurate forecasting models. These models replaced manual planning with automated demand forecasts that accounted for product lifecycle, regional demand, and the impact of promotional activities.
2 Introduction of Intelligent replenishment rules
We introduced intelligent replenishment rules that dynamically adjusted reorder quantities and safety stock levels based on sell-through rates and inventory ageing. This ensured that high-demand products remained in stock while reducing excess inventory for slow-moving SKUs.
3 Governance processes for periodic assortment reviews
Finally, we implemented governance processes for periodic assortment reviews and automated alerts for ageing inventory, enabling teams to proactively plan markdowns, promotions, and liquidation strategies.
This structured, analytics-led approach optimised inventory flow, reduced warehouse costs, and unlocked working capital, allowing the client to reinvest in new product launches, faster go-to-market cycles, and design innovation.
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