Case Study: BIG W improves shelf availability and inventory efficiency with Algo

How Big W leveraged Algo to optimize the most dynamic product segment in retail

Big W, a major Australian retailer with over 20% market share in the books category, faced challenges managing its highly dynamic and fluid product range. With hundreds of new titles arriving monthly and intense competitive pressure, they needed a way to quickly and efficiently allocate stock to stores based on size, demographic, and performance. To address this, they turned to vendor Algo for a tailored replenishment and allocations solution.

By implementing Algo's service model, Big W gained the agility to manage product life cycles and distribute new titles based on localized consumer demand. The solution from Algo optimized the inventory position, leading to significant measurable improvements: a 20% increase in shelf availability, a 20% reduction in weeks of supply, a 5% increase in baseline sales, and a 30% improvement in return rates.

BIG W

Meredith Drake

Category Manager Books