Optimising Seasonal Inventory Turnover in Fashion Retail
As part of our offering, we provide a two-day deep dive assessment of your historical sales data, current inventory, and predictive analytics. This assessment helps us gain insights into your unique business dynamics and identify patterns and trends in customer purchasing behaviour.
Leveraging advanced forecasting models and market forecasting techniques, our team accurately predicts demand for your products during the high season. This enables you to optimise your merchandise plan and ensure that the right products are available at the right time.
Our merchandise assortment planning experts work closely with you to develop tailored assortment plans that align with market trends and consumer preferences. We guide you in selecting the right mix of products to maximise sales potential and minimise the risk of excess inventory.
With our data-driven approach, we help you strike the perfect balance between having enough stock to meet customer demand and avoiding overstock situations. Our inventory optimisation strategies include markdown price optimisation, replenishment system enhancements, and open-to-buy analysis.
Our expertise and data-driven insights ensure that you have the right products available at the right time. This maximises your sales potential during the high season, driving revenue growth.
By accurately forecasting demand and optimising inventory levels, you can avoid overstock situations and the associated costs of carrying excess inventory. This leads to improved cost efficiency and higher profitability.
With the right products in stock, you can meet customer expectations and provide a seamless, satisfying shopping experience. This leads to increased customer loyalty and positive brand reputation.
Giorgio Loiodice brings over 20 years of global supply chain expertise to fashion, luxury, and consumer goods industries.
He's a trusted advisor to leading retailers and fashion brands, shaping their omnichannel success.
Explore his insights in this article.
Chief Innovation Officer