Data & Insights

The Crucial Role of Product Data in Fashion E-commerce: Insights from a Chief Data Scientist

The Crucial Role of Product Data in Fashion E-commerce: Insights from a Chief Data Scientist

Precise size optimisation is key to exceptional inventory management, driving sell-through rates and reducing waste across retail operations. In this second instalment of our series exploring data applications across a product’s critical path, Jennifer Gaskins, PhD shares her experience on how robust product data, granular analysis and machine learning can transform how retailers approach size-level buying decisions.

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The AI Revolution in Apparel Retail: Navigating the Challenges of Unstructured Data for Unparalleled Growth

The AI Revolution in Apparel Retail: Navigating the Challenges of Unstructured Data for Unparalleled Growth

In the rapidly evolving landscape of fashion retail, the intersection of data and artificial intelligence is creating unprecedented opportunities. As we navigate 2024, let’s explore how cutting-edge AI technologies are transforming the way fashion retailers operate, while acknowledging the critical challenges posed by unstructured data in this domain.

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What is Product Data Enrichment for Apparel Retailers?

What is Product Data Enrichment for Apparel Retailers?

Product data enrichment or attribution for fashion and apparel retailers is the process of enhancing and expanding the information associated with clothing and accessory items to describe the item in the language of the customer and to show exactly what they are purchasing. Done well, product enrichment will improve the efficiency of marketing budgets, improve the digital shopping experience, and deliver more accurate demand forecasting.

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